

Search results
610 results found with an empty search
- What is cloud security pillars trends and strategies
Learn about the essentials of enterprise cloud security, including its importance, challenges, functionality, solutions, and key pillars. What is cloud security pillars trends and strategies Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. What is cloud security? Pillars, trends, and strategies Learn about the essentials of enterprise cloud security, including its importance, challenges, functionality, solutions, and key pillars. What is cloud security? Cloud security (or cloud-native security) encompasses the strategies, tools, processes, and teams that seek to fortify enterprise cloud environments. Cloud security strategies focus on securing cloud networks, infrastructure, systems, applications, and data from internal security risks, such as vulnerabilities and misconfigurations, as well as from external risks like cyberattacks. What are today’s top cloud security trends? Companies today are adopting cloud technologies at scale and with diverse deployment architectures. Some opt for public cloud services from vendors like AWS, Google Cloud, or Azure, while others invest in a dedicated private cloud infrastructure. Some organizations procure services from a single vendor, whereas others integrate components in multi-cloud or hybrid cloud strategies. The cloud security market is forecast to reach nearly $63 billion by 2028. This reflects the current state of widespread cloud adoption, the proliferation of cloud computing services, and a constant influx of new cloud security trends. Why are cloud security strategies important? Cloud security is one of the most critical pillars of any modern enterprise. Here’s why top-notch cloud security strategies are a strategic imperative: Widespread cloud adoption: Cloud computing is no longer a wishlist item but a necessity. Gartner research forecasts that companies will collectively spend more than $1 trillion on cloud investments by 2027. Sophisticated cloud threat landscape: Mission-critical cloud networks and infrastructure are under relentless siege from adversaries. According to IBM’s latest report , data breaches are now costing companies a mean value of $4.4 million. Complex compliance requirements: Enterprises must ensure that their cloud environments adhere to standards like GDPR, HIPAA, and PCI DSS. Cloud security and compliance are inextricably linked, so reinforcing one will benefit the other. Data privacy expectations: Cloud networks and infrastructure port and store vast volumes of sensitive data, from customer information to business secrets. Keeping this data secure is essentia l to avoid legal, financial, and reputational headaches. Future-proofing IT environments: With a robust cloud security posture, organizations can dynamically scale their cloud networks and infrastructure based on strategic pivots, emerging needs, and cloud security trends. How does cloud-native security work? Cloud security involves multiple moving parts—from advanced tools and technical controls to organizational culture and security best practices. Achieving holistic cloud security mandates three crucial components: Continuously monitoring cloud networks and infrastructure to detect anomalies Proactively improving your cloud security posture by tightening access controls and remediating misconfigurations Establishing strategies for mitigation, e.g., incident response playbooks, to remediate threats How can companies ensure unified cloud security and untangle the complexities of securing complex cloud network architectures? Adopt cutting-edge cloud security solutions. First, let’s review an important aspect of using a third party in your cloud security endeavors. Understanding shared responsibility models Shared responsibility models are another intricacy of contemporary cloud security. Cloud provider security offerings aren’t typically all-encompassing. And the onus is on you to decode the shared responsibility model of your chosen cloud provider. In other words: What will they handle, and what will you be obliged to oversee? Also, don’t assume that two cloud providers have similar shared responsibility models. For instance, Google Cloud’s model is radically different from that of AWS, so make sure you go over the fine print for any provider carefully. Now, let’s turn back to what makes a cloud security solution cutting-edge. What is an ideal cloud-native security solution? A comprehensive cloud security suite should include the following tools and capabilities: Cloud security posture management (CSPM): Proactively optimize cloud security and compliance posture by remediating risks in order of criticality. Market snapshot: The CSPM industry has been growing at more than 15% since 2022. Cloud identity and entitlement management (CIEM): Support governance, security, and access controls across human and machine cloud identities; mitigate identity and access management (IAM) risks. Note: CIEM tools are basically the cloud variant of IAM solutions. Cloud workload protection platform (CWPP): Secure cloud workloads across multi-cloud and hybrid cloud setups; this is particularly useful across CI/CD pipelines and DevSecOps workflows due to workload emphasis. Security information and event management (SIEM): Gather, correlate, and cross-analyze data from the entire IT ecosystem—from cloud networks to on-premises hardware and internet-of-things (IoT) devices. Security orchestration, automation, and response (SOAR): Integrate and coalesce previously disparate security tools, processes, and workflows to optimize threat detection and incident response capabilities. Data loss prevention (DLP): Detect instances of cloud data exfiltration, exposure, misuse, or compromise. Firewalls and intrusion detection systems (IDS): Monitor cloud network traffic and receive alerts for suspicious or anomalous traffic flows or behaviors. Network security policy management (NSPM): Automatically design, enforce, and maintain cloud network security and compliance policies. Micro-segmentation: Break down the cloud network into granular subsections, each with unique security policies, controls, and rule sets to prevent lateral movement and provide quick issue resolution. Note: Micro-segmentation lies at the heart of zero trust architecture. With the above features in mind, let’s move on to the security challenges they were built to battle. With the above features in mind, let’s move on to the security challenges they were built to battle. Cloud security challenges Cloud-native security is inherently complex, but the hurdles you face are compounded by myriad internal and external factors. Mapping complex architectures and attack surfaces Cloud environments are constantly shapeshifting and filled with dynamic, distributed, and ephemeral applications, data, and connectivity flows. Creating a topology of exploitable risks across this landscape is complicated. Mapping and visualizing cloud networks, particularly in labyrinthine hybrid architectures, is next to impossible without the right tools. Achieving robust governance Many companies find it challenging to effectively and holistically steward cloud applications, networks, data, and resources—especially in multi-cloud and hybrid-cloud setups. Navigating regulatory compliance Adding to the above hurdle, regulations can change—and new ones are popping up continuously. Busin esses have to keep up to avoid noncompliance penalties and legal entanglements. Uncovering shadow IT Cloud environments are perpetually in flux, which means certain resources can easily slip out of centralized management or view. Regaining control of these hidden, often risk-ridden resources is difficult. Remediating vulnerabilities and misconfigurations The volume of cloud vulnerabilities far exceeds most organizations’ resources. Companies must focus on prioritizing risks so that threats to mission-critical cloud resources are dealt with first. Battling evolving attack techniques Adversaries are employing sophisticated AI-driven tactics to design and scale their attacks. Against this backdrop of radical methods, many businesses are struggling to defend their cloud estates. Minimizing cloud costs Cloud security lapses can be pricey to resolve. If cloud security expenses get out of hand, this can undercut all of the cost benefits that cloud adoption promises. Balancing security and agility One of the cloud’s biggest selling points is its speed and dynamism. However, ineffective implementation of cloud security measures can potentially slow down operations and stall strategic and operational momentum. Having reviewed the critical hurdles to cloud security, what are the top strategies required to mitigate them and reinforce proper cloud security? The most critical cloud security pillars Cloud environments might be rife with risks, but a robust cloud security program that hinges on a powerful unified solution can help efficiently address those risks and maximize the cloud’s potential. Highlighted below are the key pillars of robust cloud security that the optimal solution will actively reinforce. Comprehensive visibility All the best cloud security strategies begin with full-stack visibility. This means end-to-end coverage and real-time insights across cloud networks, applications, data, policies, and connectivity flows. Data security In many ways, the answer to “what is cloud security” is simply “cloud-based data security.” Advanced controls and measures like encryption, anonymization, classification, and role-based access contro l (RBAC) all help safeguard sensitive data. Zero tr ust architecture (discussed below) is also ideal for robust data security. Robust identity and access management (IAM) Identity and access management (IAM) involves right-sizing entitlements and optimizing access controls across digital identities. With a top IAM tool, ideally integrated into a comprehensive cloud security platform, companies can fine-tune privileges across digital identities. This prevents unnecessary access to critical data and streamlines access to role-essential applications and assets. Policy and configuration management Well-oiled policy management is one of the strongest cloud security pillars. The cornerstone of optimized policy and configuration management is the ability to automate systems to design, manage, and monitor cloud policies and configurations. Automation also enables a tool to curb drift with minimal manual intervention and error. AI-driven automation and orchestration AI-driven automation is one of the most prevalent cloud security trends. This, coupled with orchestration, implements predefined and intricately choreographed security processes and workflows to detect and remediate threats with minimal human intervention. Zero trust architecture Zero trust architecture is a cornerstone of most cloud security strategies. Enterprises should adopt a network security approach based on the “never trust, always verify” philosophy, along with least privilege, just-in-time (JIT) access, micro-segmentation, and multi-factor authentication. Threat detection and response No matter how cloud security trends ebb and flow, businesses need to be prepared with a plan for threat detection and response. The primary goal here is real-time network and infrastructure threat monitoring. This should be supported by predefined and automated incident response protocols and playbooks to remediate cloud security events. DevSecOps DevSecOps is a framework where a security-centric component has been added to the DevOps meth odology. Since the cloud is used to expedite software pipelines, DevSecOps is crucial to ensure you don’t sacrifice security for speed. Supply chain risk management Mitigating third-party risks means complete visibility and proactive risk mitigation across third-party resources and dependencies. Within DevSecOps workflows, this includes vetting third-party code, components, and dependencies. Threat intelligence Threat intelligence should be a constant presence in your cloud-native security program. The key is to integrate tools like IAM and CSPM with internal and external threat data streams. The best way to maximize a unified cloud security platform is to integrate up-to-date threat data streams. The ripple effect of world-class threat intelligence is profound and will significantly transform your detection and response skills across cloud networks and infrastructure. AlgoSec: A cloud security powerhouse With a unified solution like AlgoSec, businesses can transform the cloud security conundrum into an opportunity to reinforce their cloud operations and drive value. AlgoSec focuses on the most crucial cloud security pillars: Full-stack visibility Automated policy management Comprehensive compliance controls App-centric model for application-heavy environments Crucially, AlgoSec unifies these non-negotiables into a single platform. From the AlgoSec Cloud Enterprise (ACE) platform to tools like AppViz , FireFlow , and Firewall Analyzer , AlgoSec is a cloud network fortress. Get a demo to see how AlgoSec can help you achieve optimal enterprise cloud security. Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- Zero trust vs least privilege
In the context of the Zero Trust vs. least privilege debate, this post explores the difference between Zero Trust and least privilege, how the Zero Trust security model and least privilege access control work together, and where each fits in a modern security program. Organizations need both Zero Trust and least privilege. These two fundamental security approaches verify all requests and restrict all permissions. This article explains the operation of each security method as well as their distinct approaches to defense. It also provides guidance on their combined use for enhanced security. Zero trust vs least privilege Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Zero Trust vs. Least Privilege: What's the Difference and How Do They Work Together? In the context of the Zero Trust vs. least privilege debate, this post explores the difference between Zero Trust and least privilege, how the Zero Trust security model and least privilege access control work together, and where each fits in a modern security program. Organizations need both Zero Trust and least privilege. These two fundamental security approaches verify all requests and restrict all permissions. This article explains the operation of each security method as well as their distinct approaches to defense. It also provides guidance on their combined use for enhanced security. Zero Trust vs. Traditional Security Security operations previously focused on creating an unbreakable defensive boundary. The rule was: Trust the people and devices inside the network. Be suspicious of everything on the outside. This "castle-and-moat" security model proved effective when technology systems were run from restricted server rooms. But cloud computing, SaaS solutions, and hybrid work environments have resulted in traditional system perimeters dissolving. Cloud, SaaS, and remote endpoints now make up a fragmented and complex “frontline,” with inconsistent controls that create gaps attackers can exploit. Malicious actors know that if they find one unlocked door—usually a stolen password—they can often wander freely through the entire network. This is precisely what the Zero Trust security model was designed to prevent. What Is the Zero Trust Security Model? The Zero Trust security model follows a single core belief surrounding verification. The new rule is: All users and systems must require verification before being granted access. Under this model, there is no free pass. Every single time someone or something tries to access a resource, they must authenticate their identity and prove they have access rights to the resources they seek. What Are the Building Blocks of Zero Trust Access Management? Making a Zero Trust architecture work requires a few key components: Policy decision point (PDP): The PDP operates as the central regulatory system of the entire network. It's where you define and store all the rules about who has access to what. Policy enforcement point (PEP): This is your security guard. The system functions as a security checkpoint that protects all resources while implementing the policies defined by the PDP. Trust algorithm: This evaluates various real-time indicators (e.g., user identity, device health status, location data, and data sensitivity) to generate a trust score for each request. Zero Trust Architecture in Practice Implementing Zero Trust requires organizations to establish ongoing verification processes for all identity and device access, as well as network, workload, and data security: Devices: Companies must verify the security posture of all laptops and phones through software updates and security tool verification. The testing process identifies non-compliant devices, which are placed in a digital waiting area until they achieve safety standards. Networks: Micro-segmentation is the main player here. By dividing your network into tiny, isolated zones, you prevent an intruder from moving around freely. All traffic between servers (east-west) needs to be encrypted and pass through a PEP checkpoint. Applications & workloads: Applications, together with services, require robust identity systems. This can be done using methods like mTLS to ensure services are securely talking to each other, and by enforcing strict authorization checks at the front door (gateways) of every application. Data : Are you fully aware of what your data cons ists of and its level of sensitivity? The process of classification and labeling enables organizations to develop smart policies that implement least privilege access controls, preventing sensitive information from leaving the organization. The Least Privilege Principle and Least Privilege Access Control Following the least privilege principle, least privilege access control requires that all users and non-human identities receive permissions that exactly match their required tasks and only remain active during the time needed to complete those tasks. Limiting permissions to specific times and tasks: Minimizes system vulnerabilities Restricts damage from compromised credentials Prevents unauthorized system access Makes audit processes easier and regulatory requirements more achievable Provides clear visibility into all access elevation activities Teams use three main operational controls to implement least privilege in their daily operations: RBAC/ABAC function together to restrict resource access based on job titles and user characteristics ; RBAC handles basic access control, while ABAC offers detailed context-based authorization checks. Just-in-time (JIT) allows a user to ask for special permissions for a short period to perform a specific task, with any rights granted terminated when the work is complete. Time-boxed tokens grant access credentials with an expiration date, so even if a token is stolen, exposure is short‑lived and any impact contain ed. How Do You Implement Least Privilege Access Control? The implementation of least privilege access control requires a methodical approach to provide each identity with the smallest set of permissions needed to perform its duties for a limited duration. These are the essential steps for successful implementation: Inventory and map privileges: You cannot protect what you do not even know is yours. This step demands complete identification of human and machine identities to establish their current permissions and necessary access permissions. Shrink service account scopes: After creating a map, you can begin to limit the permissions of accounts that have excessive access. Credential rotation and exceptions: Organizations need to adopt credential rotation and temporary identity systems for automated operations while also making just-in-time access their default security approach. The Difference Between Zero Trust and Least Privilege The discussion of Zero Trust vs. least privilege comes down to the two concepts dealing with different security issues. Zero Trust vs. Least Privilege The table below presents a clear comparison. Feature Zero Trust Least Privilege Scope & Purpose The overall game plan for securing the entire organization A core access‑management principle limiting each identity to the minimum permissions required for specific tasks/resources Decision Focus Evaluation of whether to trust the present request Stopping users from getting unintended and extra access Primary Goal To get rid of assumed trust and verify everything, always To limit the damage if an account or system gets compromised Ownership Usually driven by the security and platform architecture teams Put into practice by the people who own the data and applications Conclusion Zero Trust and least privilege security solutions deliver a major security improvement when deployed together, despite their distinct implementation methods. Their combination significantly reduces the potential damage from a breach, makes it much harder for attackers to move around, and delivers a crystal-clear record of who is accessing what and why. If you’re evaluating platforms to operationalize these practices, AlgoSec can help by: Modeling application connectivity Orchestrating network security policy changes Supporting micro-segmentation Maintaining continuous compliance across hybrid and multi‑cloud environments All these capabilities reinforce both Zero Trust and least privilege. Explore AlgoSec Cloud Enterprise for multi‑cloud and hybrid policy automation, see how our approach helps application owners model and secure application connectivity, and learn about our native integrations with AWS . Schedule a demo of AlgoSec today. Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- Hybrid & multi-cloud Security challenges | AlgoSec
Overcome hybrid and multi-cloud security challenges with strategies to enhance visibility, enforce policies, and protect data across diverse cloud environments. Hybrid & multi-cloud Security challenges ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network
- Optimizing security and efficiency in the cloud - AlgoSec
Optimizing security and efficiency in the cloud Download PDF Schedule time with one of our experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- Containerization technologies
Learn how to create a practical container security framework that protects Kubernetes environments throughout their entire lifecycle, from CI/CD security to secrets management, with AlgoSec. Containerization technologies Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Container security across the Kubernetes lifecycle The modern attack surface: Containerization, Kubernetes security, and container vulnerabilities Shift left: CI/CD security, secure base images, and container image scanning Container security, orchestration security, and container hardening in Kubernetes How AlgoSec helps Runtime protection and container vulnerabilities for containerized workloads How AlgoSec helps End-to-end container security with AlgoSec’s Prevasio Next steps: Secrets management and container security checklist Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- Micro-segmentation: Examples, solutions & top benefits | AlgoSec
Explore micro-segmentation: a powerful security strategy. Discover real-world examples, top solutions, and key benefits for enhanced security and reduced risk. Micro-segmentation: Examples, solutions & top benefits Micro-segmentation: What it is, how it works, benefits Micro-segmentation means breaking down enterprise networks into multiple segments and using security policies to dictate how the data and applications in each segment will be accessed. These determinations are made by limiting traffic based on zero trust and least privilege principles. It provides a viable solution to flawed network security policies that weaken enterprise security. A micro-segmentation strategy enables organizations to reduce the size of their attack surface and make their networks safer against potential breaches. It also allows them to improve incident response, contain the impact of breaches, and maintain compliance with relevant laws and regulations. Schedule a Demo The need for micro-segmentation All organizations must protect their data centers with robust and effective firewall policies. Without these policies and associated security controls, smart and devious cybercriminals can easily hack into enterprise networks and systems. Micro-segmentation provides an effective way to install strong, clean, and easily-manageable security policies that help to create a more secure on-prem or hybrid cloud environment. This environment can keep traffic safe and block potential breaches from corrupting servers or compromising data. Moreover, creating multiple logical segments that are isolated from each other and enforced with least-privileged access keeps threat actors out of the network and also helps to contain a breach if it does happen. Schedule a Demo How micro-segmentation works Micro-segmentation can be applied in both on-prem data centers and cloud environments. It isolates network workloads which enable security teams to create security policies. These policies dictate the type of traffic passing in and out of each micro-segment. The policies are used to manage and create secure network segments and determine how these segments or zones will be accessed. They dictate how applications and workloads will access the resources they need, how they will share data within a system, and in which direction. Micro-segmentation also enables security teams to determine what kind of security or authentication measures are required for the environment. There are three main micro-segmentation approaches. Micro-segmentation works differently depending on which approach is adopted. Agent-based/host-based micro-segmentation Agent-based micro-segmentation utilizes a software agent deployed on the workload. It doesn’t rely on static network-level rules based on network ports or IP addresses. The agent allows security teams to enforce granular isolation, better control individual hosts, and implement automated segmentation policies with human-readable labels. Agent-based micro-segmentation security solutions are infrastructure-independent so they can be deployed across both data center and cloud infrastructure. One drawback of the method is that not all workloads can have an agent installed on them. Also, attackers can exploit the trust in the network with host firewall-based micro-segmentation. Network-based micro-segmentation Network-based micro-segmentation leverages the network infrastructure to enforce security policies. The policies are configured and enforced using access control lists (ACLs) or IP constructs. There’s no need to deploy agents on workloads. A drawback of this method is that the policies can only be enforced per endpoint, so network firewalls cannot distinguish between legitimate software and malware and will therefore block or allow both. Also, the policies are static, which can cause performance issues in more dynamic (e.g., cloud) environments. Finally, the approach can be complicated to manage when more granular micro-segments and a higher number of firewall rules are created. Hypervisor-based micro-segmentation This method depends on virtualized environments and hypervisors to create overlay networks and enforce micro-segmentation. The approach does not require network hardware changes. Also, its policy constructs are easy to learn for security teams. The chief drawback of the approach is that it doesn’t support bare metal servers, container workloads, or public cloud environments. Also, it doesn’t provide host-level visibility into its software, processes, vulnerabilities, etc. Schedule a Demo Examples of micro-segmentation One common example of micro-segmentation is the separation of development and testing environments from production environments. Granularly limiting the connections between these environments prevents careless or dangerous activities, such as using sensitive/live data for testing. Other examples include: Application micro-segmentation: Restricting access to sensitive data in applications to prevent unauthorized use or malicious exfiltration User micro-segmentation: Leveraging user identity services to control access to applications and services Tier-level micro-management: Separating application components to allow only authorized users to access specific components and keep unauthorized users out Schedule a Demo Network segmentation vs. Micro-segmentation Network segmentation divides the enterprise network into multiple security zones. In traditional data center environments, network segmentation is usually accomplished using firewalls, VLANs, and access control lists (ACLs). In more modern, cloud-based environments, Virtual Private Clouds (VPCs), subnets, and Security Groups (SGs). Microsoft Azure, for example, provides numerous network segmentation options, such as subscriptions (platform-powered separation between entities), virtual networks (isolated and secure networks to run virtual machines and applications), network security groups (access control mechanisms to control traffic between resources within a virtual network), and Azure firewall (a cloud-native stateful firewall-as-a-service to filter traffic flowing between cloud resources, the Internet, and on-premise). Regardless of the environment type, the zones created with network segmentation consist of multiple devices and applications. Admins can set access controls that permit only specific traffic between zones. Micro-segmentation is a more granular form of network segmentation. It involves placing each device or application within its own logically isolated segment instead of simply breaking a network into multiple, large segments. It thus provides more granular visibility and greater control than network segmentation. Unlike network segmentation which breaks the network based on north-south traffic (traffic running between clients and servers and crossing the security perimeter), micro-segmentation focuses on east-west traffic that moves laterally across and within the network. Moreover, it usually uses software policies and software-defined networking (SDN). With SDN, all network traffic is routed through an inspection point (e.g., a next-generation firewall) that can identify an attacker’s lateral movement and block inappropriate accesses to the network and its resources. Some SDN solutions, such as Cisco Application Centric Infrastructure (ACI), can automatically assign endpoints to logical security zones called endpoint groups (EPGs). These EPGs may have a contract that is used to control traffic flow between EPGs within the ACI fabric. Schedule a Demo Network segmentation challenges and how micro-segmentation Helps Dividing a network into multiple smaller segments can improve both its security and performance. Effective network segmentation allows security teams to spot an attack and act early to mitigate its impact and prevent its spread across the network. Even so, it can be challenging to implement network segmentation. For one, dividing the network into many VLANs and subnets requires a lot of manual effort. Also, the network may need to be re-architected, which can be difficult, time-consuming, and expensive. Micro-segmentation is a better and easier approach to securing a network, especially if host-based micro-segmentation is adopted. This is because the host-based approach is infrastructure-independent, provides more granular control, and enables micro-segmentation based on human-understandable policies instead of static network-level rules. Plus, the model can be deployed across both, cloud and data center environments without “coupling” to them. In addition, it decouples security policy enforcement from the physical infrastructure, simplifying administration and allowing more granular control. Also, it does not require network re-architecting so it is less time-consuming, less complex, and more cost-effective than network segmentation. Schedule a Demo Micro-segmentation: Essential for zero trust security Micro-segmentation is increasingly used to implement zero trust security . This new security model considers all users and devices untrustworthy by default. To gain access to network resources and become “trusted”, the user or device must meet the network’s conditions, for example, undergo a virus scan or complete multi-factor authentication (MFA). The zero trust model enables organizations to move away from traditional perimeter-based network security which is inadequate for modern-day remote workers and cloud environments. And micro-segmentation supports the model by: Dividing the network into smaller zones Creating a mini-perimeter around each endpoint to secure it individually Providing enhanced network visibility and stronger access controls In sum, zero trust, and micro-segmentation work in tandem by securing workloads in dynamic environments and preventing the lateral movement of unauthorized users in the network. Schedule a Demo The top 7 benefits of micro-segmentation The need for micro-segmentation is increasing because it provides all these benefits: Effective security through enhanced endpoint protection Micro-segmentation provides effective and cost-efficient security, particularly in modern network environments that are complex, dynamic, and fast-expanding. By logically dividing the data center into distinct security segments, it enables security architects to define security controls for each segment. This then reduces the size of the attack surface and enables the organization to better resist attacks or intrusions. Protection against network-based threats Micro-segmentation protects networks against network-based threats like DDoS attacks and WiFI attacks. It also allows admins to implement robust controls to restrict the flow of traffic on detecting a threat. Protection for cloud workloads and data Micro-segmentation can secure dynamic cloud systems, workloads, and data. With granular microsegments, security teams can easily monitor cloud traffic, identify suspicious or malicious traffic, and respond quickly once they detect dangerous breaches. Protection from advanced persistent threats (APTs) Individual micro-segments contain security checkpoints that help to keep cyber threats from spreading across the network. So, even if one part of a network is compromised, attackers cannot move laterally and reach or persist in other parts of the network. Thus, micro-segmentation protects the network from APTs. Improves breach containment Even if the network is breached, security staff can contain its impact with micro-segmentation. By monitoring traffic against secure policies, they can reduce the impact of a breach as well as their response time. Support for centralized policy management Organizations can use micro-segmentation to create and enforce granular security policies and to centralize policy management across networks. Without it, they would have to manually manage policies across a large fleet of devices and resources, which is a complex and time-consuming task. In addition, they can enforce zero-trust security policies, where access is allowed based on need, which can reduce the organization’s cyber risk. Endpoint separation enables regulatory compliance Micro-segmentation using the host-based approach helps isolate separately-secured endpoints, allowing security staff to easily control the traffic in systems that are subject to regulations. Policy granularity and visibility ensure that distributed devices are always protected by unified network security and also reduce the risks of non-compliant usage. Schedule a Demo Near-effortless micro-segmentation with AlgoSec By utilizing AlgoSec’s micro-segmentation method of network security, businesses can immediately feel safer against possible hackers and potential data breaches. Our application workload security platform will secure your compute instances across any infrastructure and any cloud. It will also enable trusted access through automated, exhaustive context from various systems to automatically adapt security policies. But there are always obstacles when installing new systems on existing servers, whether it’s evolving the firewalls already in place to accept the micro-segmented data center or navigating possible network segmentation pitfalls. Our team can work with you all the way from strategy to execution to ensure these challenges are met and handled with ease so your security improves and your data is confidently protected. We will make sure that all your segmentation policies will be applied beyond the native software and hardware sensors, extending them to all supported on-premise, cloud, and SDN technologies. By using AlgoSec, you will get consistent and defense-in-depth security across your entire hybrid network. You can also maximize your current investment by leveraging existing security technologies for micro-segmentation. Plus, we will help you secure your environment in minutes rather than days or weeks. Talk to us to know more about our business-driven security management. Schedule a Demo Select a size Micro-segmentation: What it is, how it works, benefits The need for micro-segmentation How micro-segmentation works Examples of micro-segmentation Network segmentation vs. Micro-segmentation Network segmentation challenges and how micro-segmentation Helps Micro-segmentation: Essential for zero trust security The top 7 benefits of micro-segmentation Near-effortless micro-segmentation with AlgoSec Get the latest insights from the experts Use these six best practices to simplify compliance and risk mitigation with the AlgoSec platform White paper Learn how AlgoSec can help you pass PCI-DSS Audits and ensure continuous compliance Solution Overview See how this customer improved compliance readiness and risk management with AlgoSec Case study Choose a better way to manage your network
- Cloud network security strategic imperative
Learn about the nuances of cloud network security and why it’s a strategic imperative. Cloud network security strategic imperative Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Cloud network security explained What is cloud network security? Core components of cloud network security Why is cloud network security critical? Recommendations for cloud network security How AlgoSec tackles complex cloud network security challenges Conclusion FAQs Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- Network management & policy change automation | AlgoSec
Automate network management and policy changes to increase efficiency, reduce errors, and ensure security compliance across your network infrastructure. Network management & policy change automation ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network
- Juniper and AlgoSec | AlgoSec
AlgoSec & Juniper Networks AlgoSec seamlessly integrates with Juniper devices to automate application and user aware security policy management and ensure that Juniper devices are properly configured. AlgoSec supports the entire security policy management lifecycle — from application connectivity discovery, through ongoing management and compliance, to rule recertification and secure decommissioning. How to Juniper Policy Optimization Learn how to achieve a clean and optimized security policy on your Juniper device Juniper Regulatory Compliance Learn how to prepare for a regulatory audit Juniper Risk Assessment Learn how to assess risk on your Juniper devices with AlgoSec See how Juniper Users Can Benefit from AlgoSec Schedule time with one of our experts
- Cloud network security: Challenges and best practices | AlgoSec
Discover key insights on cloud network security, its benefits, challenges, and best practices for protecting your cloud environment effectively. Cloud network security: Challenges and best practices What is cloud network security? Cloud network security refers to the measures used to protect public, private, and hybrid cloud networks. These measures include technology, services, processes, policies, and controls and can defend against data exposure or misuse. Why is cloud network security important? Cloud network security is important because of the wide range of threats to data and other cloud resources. Some of the most common include data breaches and exposure, malware, phishing, compromised APIs, distributed denial-of-service (DDoS), and DNS attacks, among others. In addition to defending against threat actors, cloud networks must also comply with an ever-growing number of regulations. A cloud-native security tool can provide the protection, incident response, and compliance that organizations need. Cloud security vs. network security Network security is a type of cloud security. If used in a hybrid system, it can rely on physical barriers and protections, whereas cloud security must exclusively use virtual solutions. In cloud computing, several organizations may share resources through infrastructure-as-a-service platforms like AWS EC2. Distributed data centers mean physical cybersecurity measures, like firewalls, must be replaced with virtual projections. There are three categories of cloud security: public, private, and hybrid cloud environments. Each offers its own set of challenges, which only increase in complexity for organizations with a multi-cloud environment. Schedule a Demo How does cloud network security work? Cloud network security routes traffic using software-defined networking. These protections are different from on-premise firewall systems and are virtualized and live in the cloud. The most secure platforms are built on a zero-trust security model, requiring authentication and verification for every connection. This helps protect cloud resources and defend them throughout the threat lifecycle. Schedule a Demo The benefits of cloud network security Cloud networks are inherently complex, and managing them using native tools can leave your organization vulnerable. Using a cloud network security solution offers several advantages. Improved protection The most important benefit of a secure cloud infrastructure is better protection. Managed permissions and orchestration can help prevent breaches and ensure better security across the system. Automated compliance A security solution can also help ensure compliance through automation that reviews policies for the most up-to-date regulatory and industry requirements and deploys the policy to multiple cloud platforms from a single place. Better visibility With a comprehensive solution, you can see all your properties—including on-premise and hybrid systems—in a single pane of glass. Improved visibility means recognizing new threats faster and resolving issues before they arise. Schedule a Demo Cloud network security challenges The cloud offers several benefits over traditional networks but also leads to unique vulnerabilities. Complexity across security control layers Cloud providers’ built-in security controls, such as security groups and network ACLs, impacts security posture. There is a need to protect cloud assets such as virtual machines, DBaaS, and serverless functions. Misconfigurations can introduce security risks across various assets, including IaaS and PaaS. Cloud and traditional firewall providers also offer advanced network security products (such as Azure Firewall, Palo Alto VM-Series, Check Point CloudGuard). Multiple public clouds Today’s environment uses multiple public clouds from AWS, Azure, and GCP. Security professionals are challenged by the need to understand their differences while managing them separately using multiple consoles and diverse tools. Multiple stakeholders Unlike on-premise networks, managing deployment is especially challenging in the cloud, where changes to configurations and security rules are often made by application developers, DevOps, and cloud teams. Schedule a Demo Key layers for cloud security Robust public cloud network security architecture must include four separate areas—layers that build upon each other for an effective network security solution. Cloud security architecture is fundamentally different from its on-premise counterpart. Cloud security challenges are met by a layered approach rather than a physical perimeter. Security for AWS, Azure, or any other public cloud employs four layers of increasing protection. Layer 1: Security groups Security groups form the first and most fundamental layer of cloud network security. Unlike traditional firewalls that use both allow and deny rules, security groups deny traffic by default and only use allow rules. These security groups are similar to the firewalls of the 90s in that they’re directly connected to servers (instances, in cloud architecture terms). If this first layer is penetrated, control of the associated security group is exposed. Layer 2: Network Access Control Lists (NACLs) Network Access Control Lists (NACLs) are used to provide AWS and Azure cloud security. Each NACL is connected to a Virtual Private Network (VPN) or Virtual Private Cloud (VPC) in AWS or VNet in Azure and controls all instances of that VPC or VNet. Centralized NACLs hold both allow and deny rules and make cloud security posture much stronger than Layer 1, making Layer 2 essential for cloud security compliance. Layer 3: Cloud vendor security solution Cloud security is a shared responsibility between the customer and the vendor, and today’s vendors include their own solutions, which must be integrated into the platform as a whole. For example, Microsoft’s Azure Firewall as a Service (FWaaS), a next-generation secure internet gateway, acts like a wall between the cloud itself and the internet. Layer 4: Third-party cloud security services Traditional firewall vendors, like solutions from Check Point (CloudGuard) and Palo Alto Networks (VM-Series), need to be integrated as well. These third parties create firewalls that stand between the public clouds and the outside world. They develop segmentation for the cloud’s inner perimeter like an on-premise network. This fourth layer is key for infrastructure built to defend against the most difficult hybrid cloud security challenges . Schedule a Demo Why AlgoSec AlgoSec Cloud offering provides application-based risk identification and security policy management across the multi-cloud estate. As organizations adopt cloud strategies and migrate applications to take advantage of cloud economies of scale, they face increased complexity and risk. Security controls and network architectures from leading cloud vendors are distinct and do not provide unified central cloud management. Cloud network security under one unified umbrella AlgoSec Cloud offering enables effective security management of the various security control layers across the multi-cloud estate. AlgoSec offers instant visibility, risk assessment, and central policy management , enabling a unified and secure security control posture, proactively detecting misconfigurations. Continuous visibility AlgoSec provides holistic visibility for all of your cloud accounts assets and security controls. Risk management Proactively detect misconfigurations to protect cloud assets, including cloud instances, databases, and serverless functions. Identify risky rules as well as their last usage date and confidently remove them. Tighten overall network security by mapping network risks to applications affected by these risks. Central management of security policies Manage network security controls, such as security groups and Azure Firewalls, in one system across multiple clouds, accounts, regions, and VPC/ VNETs. Manage similar security controls in a single security policy so you can save time and prevent misconfigurations. Policy cleanup As cloud security groups are constantly adjusted, they can rapidly bloat. This makes it difficult to maintain, increasing potential risk. With CloudFlow’s advanced rule cleanup capabilities, you can easily identify unused rules and remove them with confidence. Schedule a Demo Select a size What is cloud network security? How does cloud network security work? The benefits of cloud network security Cloud network security challenges Key layers for cloud security Why AlgoSec Get the latest insights from the experts 6 best practices to stay secure in the hybrid cloud Read more The enterprise guide to hybrid network management Read more Multi-Cloud Security Network Policy and Configuration Management Read more Choose a better way to manage your network
- Top vulnerability management tools
Review top vulnerability management tools for 2025, including suggested applications and selection criteria, and learn how to minimize exposure to security threats. It covers network vulnerability tools, automated vulnerability management systems, open source vulnerability scanners, continuous monitoring solutions, and patch management and vulnerability scanning tools. The number of cyberattacks keeps increasing, and their associated cost shows no sign of slowing down. The global average cost of a data breach now stands at $4.4 million, according to IBM’s Cost of a Data Breach Report 2025. Meanwhile, the Verizon 2025 Data Breach Investigation Report shows ransomware attacks caused 44% of all system-intrusion breaches. These data points underline that organizations must establish robust security measures early on to prevent future problems from occurring. This guide provides essential information about vulnerability management today through its presentation of top vulnerability management tools on the market for 2025. Top vulnerability management tools Select a size Which network Can AlgoSec be used for continuous compliance monitoring? Yes, AlgoSec supports continuous compliance monitoring. As organizations adapt their security policies to meet emerging threats and address new vulnerabilities, they must constantly verify these changes against the compliance frameworks they subscribe to. AlgoSec can generate risk assessment reports and conduct internal audits on-demand, allowing compliance officers to monitor compliance performance in real-time. Security professionals can also use AlgoSec to preview and simulate proposed changes to the organization’s security policies. This gives compliance officers a valuable degree of lead-time before planned changes impact regulatory guidelines and allows for continuous real-time monitoring. Vulnerability Management Tools for 2025: What to Use and Why Review top vulnerability management tools for 2025, including suggested applications and selection criteria, and learn how to minimize exposure to security threats. It covers network vulnerability tools, automated vulnerability management systems, open source vulnerability scanners, continuous monitoring solutions, and patch management and vulnerability scanning tools. The number of cyberattacks keeps increasing, and their associated cost shows no sign of slowing down. The global average cost of a data breach now stands at $4.4 million, according to IBM’s Cost of a Data Breach Report 2025 . Meanwhile, the Verizon 2025 Data Breach Investigation Report shows ransomware attacks caused 44% of all system-intrusion breaches. These data points underline that organizations must establish robust security measures early on to prevent future problems from occurring. This guide provides essential information about vulnerability management today through its presentation of top vulnerability management tools on the market for 2025. What Is Vulnerability Management? Vulnerability management is a process of ongoing asset discovery to locate weaknesses, which are then evaluated according to their risk level and business value. This approach enables fast problem-solving and generates clear, easy-to-understand data for stakeholders. Key Features of Modern Vulnerability Management Tools Organizations require a vulnerability management platform that protects their data centers, multiple cloud services, and SaaS platforms through analytical and automated features. To find the right vulnerability management tool for your environment, you need to assess both network vulnerability tools and application-aware engines. What Is Asset Discovery in Vulnerability Management and Why Does It Matter? Asset discovery in vulnerability management requires organizations to identify all hardware and software components within their network infrastructure. This first step is critical, as it allows companies to understand their security vulnerabilities and create appropriate protection plans. There is no safeguarding the invisible. This is why your chosen toolset must automatically detect all endpoints, servers, containers, applications, and internet-accessible assets that exist within both cloud and on-premises environments. A unified inventory system that integrates multiple data sources enables vulnerability scans to detect more assets. This, in turn, minimizes the number of detection and identification issues that occur when assets exist outside of your system. Why Is Continuous Vulnerability Monitoring Essential in 2025? Vulnerability monitoring will continue to be necessary in 2025 and beyond because the method of point-in-time assessments does not identify changing risk factors that are fast-evolving. The market-leading security tools employ business-relevant threat intelligence to help teams detect weaknesses that create risk. They also provide documentation, which is key. Auditors, engineers, and executives require clear documentation to demonstrate how continuous vulnerability monitoring leads to correct change control procedures and proper prioritization. A key aspect of automated vulnerability management is the combination of vulnerability scanning with patch management to maximize system defenses. Automated Vulnerability Management: How Patch Management and Vulnerability Scanning Work Together Traditionally, organizations use automated vulnerability management to decrease MTTR by creating service tickets/change requests and deploying secure patch solutions. However, organizations can automatically respond to detected threats if vulnerability scanning systems maintain a close link to patch management systems. The practice of automated vulnerability management integrates the steps of patch approval with rollout and verification, creating a single operational workflow. This approach provides an automation-based vulnerability management process that operates during scheduled maintenance periods. At the same time, a solution’s documentation system produces results for both auditable and transparent outcome-tracking. Reporting and Analytics for Effective Vulnerability Management Programs Custom dashboards aren’t just for engineers. Executives rely on them as well. A tool’s reporting system needs to deliver exposure trend information alongside SLA performance data and straightforward resolution paths. Leading platforms display CVEs through business-oriented visualizations that show how attacks could affect specific applications. Comparing Network Vulnerability Tools and Open Source Vulnerability Scanners Enterprise-grade scalability in commercial network vulnerability tools comes from: Asset correlation Risk-based prioritization ITSM/CMDB integrations Advanced reporting Network vulnerability tools support broad discovery operations and program governance, while open-source scanners deliver fast and targeted vulnerability assessments for development pipeline testing. Open-source scanners enable teams to perform fast PR reviews and test new security policies within CI/CD environments. The validation process enables these policies to become active in enterprise-wide scans, which network vulnerability tools handle. What Are the Top 10 Vulnerability Management Tools? The following summary of these 10 solutions’ key characteristics and relevant applications will help you match the right vulnerability management tool to your specific infrastructure. Tool Key Highlights Best For Tenable Nessus Expert Deep-dive scanning for hosts & web apps, plus basic cloud/external checks; prioritization with EPSS/CVSS/VPR and 450+ templates Teams requiring thorough, traditional scanning with some modern additions Rapid7 InsightVM Prioritizes fixes based on real-world attacker behavior; great for team workflows Enterprises wanting to focus on the most likely threats and streamline IT tasks Qualys VMDR An all-in-one platform for discovery, prioritization, and patching Large organizations looking for a single, integrated tool for the whole process Wiz Agentless cloud security that maps out potential attack paths Cloud-first companies that need to see the bigger picture of their cloud risk Prisma Cloud Secures the entire development lifecycle (coding to deployment) Dev-heavy teams needing to align security across the entire build process CrowdStrike Falcon Adds real-time vulnerability scanning to CrowdStrike's endpoint protection platform Companies already using CrowdStrike for endpoint security Microsoft Defender Vulnerability Management Native vulnerability management that's deeply integrated into the Microsoft ecosystem Organizations heavily invested in Microsoft products Orca Security Agentless scanning that pinpoints which vulnerabilities are actually exploitable Multi-cloud teams who want to quickly focus on the most critical, reachable risks Arctic Wolf Managed Risk Managed service with a concierge team that runs your vulnerability program for you Resource-constrained teams that want experts to handle vulnerability management Cisco Vulnerability Management (formerly Kenna Security) Uses data science to predict threats and suggest the most efficient fixes Organizations using multiple scanners that need a smart way to prioritize all the data Evaluating Vulnerability Management Solutions for Enterprises Enterprises need vulnerability management solutions that : Integrate with change workflows and CMDBs Expose robust APIs for automation and role‑based access controls Provide localized reporting and support delegated administration for global teams AlgoSec: A Leader in Vulnerability Management Solutions for Enterprises Getting a list of vulnerabilities from a scanner is just the first step. AlgoSec helps users understand and take action in the following ways: The platform provides context for all vulnerabilities in your system. Connect your current scanners to AlgoSec so it can identify and match its results to your operational business applications. See which specific services are affected by a server defect—not simply that you have a server problem. AlgoSec automates fixes without breaking things. The system not only produces automatic remediation rules, but its validation process verifies your changes to stop any accidental disruption of business operations. It helps you prioritize smarter. Develop a task list to match your organizational needs, allowing you to concentrate on the threats that endanger your essential applications the most. This saves time and eliminates unnecessary information. Choosing the right tool means moving beyond a simple list of flaws to understanding their real-world business impact. A context-aware approach is the key to managing risk effectively and ensuring your remediation efforts are both safe and efficient. Ready to see how an application-centric approach can boost your vulnerability management program? Learn more about AlgoSec and request a demo today! Get the latest insights from the experts Schedule time with one of our experts Work email* First name* Last name* Company* country* Select country... Short answer* By submitting this form, I accept AlgoSec's privacy policy Continue
- AlgoSec application discovery Enhance the discovery of your network applications | AlgoSec
Streamline network management with AlgoSec Application Discovery. Gain visibility into application connectivity to optimize performance and enhance security policies. AlgoSec application discovery Enhance the discovery of your network applications ---- ------- Schedule a Demo Select a size ----- Get the latest insights from the experts Choose a better way to manage your network
