Application Security Tools: 6 Categories and Top 18 Tools in 2026

• Web Application and API Protection (WAAP): WAAP solutions extend WAF capabilities to secure both web apps and APIs against a broad range of attacks, including injection flaws, bot abuse, and DDoS events. Examples include Radware, F5, and AppTrana.
• AI Security: AI security tools help protect applications that leverage artificial intelligence, addressing unique risks such as prompt injection, data poisoning, and adversarial input attacks.
• Static Application Security Testing (SAST): SAST tools analyze source code to identify vulnerabilities before runtime. Examples include SonarQube, Checkmarx, and Veracode.
• Dynamic Application Security Testing (DAST): DAST tools test applications in a running state, simulating real-world attacks. OWASP ZAP, Burp Suite, and Acunetix are examples of DAST tools.

• Interactive Application Security Testing (IAST): IAST tools analyze applications from within while they run, combining static and dynamic techniques to provide precise, real-time vulnerability detection. Examples include Acunetix with AcuSensor, Black Duck Seeker, and Aikido.
• Software Composition Analysis (SCA): SCA tools identify vulnerabilities in open-source and third-party libraries. Black Duck and Snyk are examples of SCA tools.
• Kubernetes Web Application Firewalls (WAFs): Kubernetes WAFs protect containerized workloads inside Kubernetes clusters by filtering and inspecting HTTP traffic to block common web threats. Examples include Radware Kubernetes WAF, Prophaze, and Calico.

• Application Security Market and Trends
• Categories of Application Security Tools
• Notable Application Security Tools
  • Web Application and API Protection (WAAP)
  • Static Application Security Testing (SAST)
  • Dynamic Application Security Testing (DAST)
  • Interactive Application Security Testing (IAST)
  • Software Composition Analysis (SCA)
  • Kubernetes WAF

• Increasing number and sophistication of web, mobile, and API-based attacks: Attackers frequently target insecure APIs, broken authorization controls, and excessive data exposure. In response, organizations are adopting dynamic and interactive testing tools that simulate attacks against running applications.
• Regulatory requirements: Standards such as PCI-DSS 4.0, GDPR, and the Digital Operational Resilience Act (DORA) require stronger application testing and compliance reporting. For example, PCI-DSS 4.0 introduced new requirements including mandatory software composition analysis for systems that process payment data.

• Growing use of third-party APIs and SaaS integrations: This has increased supply-chain risk. Many applications rely on dozens of external services, prompting organizations to deploy tools that scan dependencies and monitor API interactions.

Web Application and API Protection (WAAP)

Web Application and API Protection (WAAP) solutions extend traditional WAF capabilities to defend not just web applications but also APIs, which are now prime targets for attackers. WAAP tools incorporate protection against the full spectrum of web and API threats, including injection attacks, broken authentication, data exfiltration, and API-specific attacks like abuse of business logic. By inspecting and filtering both web and API traffic, WAAP provides holistic security across modern application surfaces, often including bot mitigation, DDoS protection, and advanced analytics.

AI Security

AI security tools help protect applications that leverage artificial intelligence and machine learning models. These tools address unique risks such as prompt injection, data poisoning, adversarial input attacks, and unintentional exposure of sensitive information through AI-generated outputs. They often provide capabilities like input sanitization, model behavior monitoring, and drift detection to ensure models behave as intended.

Interactive Application Security Testing (IAST)

Interactive Application Security Testing (IAST) combines aspects of both SAST and DAST, monitoring applications from within as they run in test or QA environments. IAST agents are embedded into the application, allowing them to analyze runtime data, code execution, and user interactions simultaneously. This enables precise identification of vulnerabilities and their location in the code, reducing false positives and fitting well into DevOps workflows.

Dynamic Application Security Testing (DAST)

Dynamic Application Security Testing (DAST) tools assess applications from the outside while they are executing, simulating how an attacker might exploit them in a live environment. DAST focuses on discovering vulnerabilities like cross-site scripting, SQL injection, and authentication problems via real HTTP requests, and requires no access to source code, making it suitable for black-box testing.

Static Application Security Testing (SAST)

Static Application Security Testing (SAST) tools analyze application source code, bytecode, or binaries for security vulnerabilities without executing the program. Operating early in development, SAST allows teams to detect and remediate vulnerabilities before deployment and can be integrated directly into development environments and CI/CD pipelines. However, SAST tools may produce false positives and require contextual knowledge to interpret results.

Software Composition Analysis (SCA)

Software Composition Analysis (SCA) tools identify vulnerabilities and license compliance issues in open-source and third-party components used within an application. By automatically scanning dependency trees, SCA tools alert developers to known vulnerabilities in external packages and recommend safer alternatives or patches, while also tracking open-source licenses to avoid legal and compliance issues.

Kubernetes Web Application Firewalls (WAFs) are specialized tools designed to protect containerized applications running inside Kubernetes clusters. Unlike traditional WAFs at the network or application perimeter, Kubernetes WAFs are deployed natively within Kubernetes environments and integrate with cluster workloads, guarding against OWASP Top 10 threats by filtering and monitoring HTTP traffic and taking advantage of Kubernetes-native features like labels, namespaces, and service discovery.

Best for: Unified, AI-driven web app and API protection across environments
Strengths: WAF, API, bot, client-side and L7 DDoS in one platform
Things to consider: Advanced rules and reporting have a learning curve

Radware Cloud Application Protection Service is a cloud-based platform that combines several protection modules into one integrated, AI-powered service for web applications and APIs. The modules share attack data and react together, and Radware applies machine learning across them to detect anomalies and update security policies automatically. It is delivered through Radware’s SecurePath architecture, which is designed to provide protection across on-premise, private, public, and hybrid cloud environments, including Kubernetes.

The service covers the OWASP top security lists for web application security, API security, client-side security, automated threats, and LLM security, and is offered as a managed service backed by a 24x7 Emergency Response Team.

Key features include:

• Comprehensive protection: Combines WAF, API protection, bot management, client-side protection and Layer-7 DDoS mitigation in a single service so the modules share attack data and respond together.
• API protection: Discovers APIs automatically, builds tailored security policies, and uses continuous AI-driven mapping to detect and stop business-logic attacks in real time.
• Machine-learning defense: Uses an automated positive security model and behavioral-based algorithms to detect anomalies, block zero-day attacks, and keep false positives low.
• Bot management: Filters good and bad bot activity across websites, mobile apps and APIs, distinguishing human traffic from automated traffic.
• Client-side and DDoS coverage: Adds client-side protection against supply-chain script attacks and behavioral mitigation of HTTP-based application-layer DDoS assaults.
• Consistent, managed delivery: Applies the same policies across hosting environments through SecurePath without route changes or SSL certificate sharing, and is run as a managed service with an Emergency Response Team.
• LLM and account-takeover protection: Includes an LLM Firewall option for prompt-level protection of generative AI use and behavioral detection of distributed account-takeover attempts.

Limitations (as reported by users on G2):

• Reporting depth: Some users would like more depth and customization in built-in reports and dashboards.
• Learning curve: Mastering custom rules and policy tuning can take time and some security expertise.
• Initial setup effort: Onboarding and initial configuration can require coordination and effort to get right.

Source: Radware

Best for: Consolidating WAF, API, bot and DDoS across hybrid multicloud
Strengths: Integrated WAAP with broad deployment options
Things to consider: Complex configuration; needs a dedicated administrator

F5 provides web application and API protection by converging several defenses—WAF, API security, bot management and DDoS mitigation—into an integrated WAAP offering that is part of its broader Application Delivery and Security Platform. The aim is to reduce the tool sprawl and management overhead that come from running separate point products across on-premises, cloud and edge environments.protections through multiple form factors, including F5 Distributed Cloud (SaaS), BIG-IP Advanced WAF and WAF for NGINX, so teams can apply consistent policy across hybrid and multicloud deployments.

Key features include:

• Integrated WAAP platform: Brings WAF, API security, bot management and DDoS mitigation together to reduce tool sprawl and improve policy consistency.
• Application-layer protection: Uses WAF capabilities as the core enforcement point to block common exploits and emerging application-layer attacks, including OWASP Top 10 and zero-day risks via virtual patching.
• API discovery and security: Discovers and catalogs API endpoints, baselines normal behavior, and protects APIs from development through runtime to reduce blind spots and abuse.
• Bot and automation defense: Detects and mitigates automated threats using multiple signals and applies step-up challenges only when needed to limit fraud and abuse.
• DDoS resilience: Defends against blended, multi-vector DoS and DDoS attacks across distributed architectures using a mix of on-premises and cloud mitigation.
• Continuous security assessment: Continuously assesses the external attack surface to identify exposed apps and APIs and inform prioritized remediation.
• Flexible deployment: Offers SaaS, on-premises (BIG-IP) and NGINX-based form factors for consistent protection across hybrid multicloud environments.

Limitations (as reported by users on G2):

• Complex configuration: Setup requires understanding many configuration settings and can be difficult for less-experienced administrators.
• False positives: Default configurations can generate false-positive alerts that sometimes affect legitimate traffic.
• Steep learning curve: The platform takes time to learn and tends to require a capable, dedicated administrator.
• Logging and dashboards: Some users find the log dashboard and log-search experience need improvement for troubleshooting.
• Availability concerns: A few reviewers report extended outages and would like stronger high availability.

Source: F5

Best for: Fully managed WAAP with built-in vulnerability remediation
Strengths: Managed SOC, virtual patching, DAST-fed protection
Things to consider: Reporting window and custom rules are limited

AppTrana, from Indusface, is a cloud-based WAAP platform that unifies web application firewall, API security, DAST scanning, bot mitigation and DDoS protection, with managed security services layered on top. It is designed to reduce operational overhead by discovering the attack surface, scanning for vulnerabilities, protecting applications at the edge, and remediating findings through managed virtual patching.

Onboarding is done through a DNS change, after which AppTrana discovers domains, apps, APIs and AI workloads, continuously scans them, and applies protection in block mode with 24x7 expert monitoring.

Key features include:

• Autonomous vulnerability remediation: Combines continuous DAST scanning with managed virtual patching so findings are addressed quickly and exposure windows are reduced.
• API discovery and protection: Automatically identifies APIs, including shadow and unmanaged endpoints, and applies positive security policies to them.
• Managed security operations: Provides 24x7 monitoring and rule management through a managed SOC, with experts tuning protections as attacks happen.
• Bot and DDoS mitigation: Uses behavioral and AI-driven analysis to distinguish legitimate traffic from attacks and to block credential stuffing, scraping and account-takeover attempts.
• Continuous discovery: Identifies web applications, APIs, and external-facing assets, including shadow assets, to keep attack-surface coverage current.
• Block mode from day one: Designed to run in block mode from onboarding, supported by a zero-false-positive guarantee and managed tuning.

Limitations (as reported by users on G2):

• Reporting limits: Reporting can be hard to drill into and the monitoring window is constrained, restricting historical analysis.
• Certificate management: Installing and replacing third-party certificates is reported as complex and under-documented.
• Pricing for smaller teams: Cost is a drawback for startups and when protecting multiple application instances.
• Custom rules and tuning: Custom rules need more flexibility, and reducing false positives during onboarding can take several rounds with the vendor.
• Latency in some regions: Routing through distant regions can add latency where local points of presence are unavailable.

Source: Indusface

Best for: Deep static code review integrated into CI/CD pipelines
Strengths: Taint and dataflow analysis with IDE and CI/CD feedback
Things to consider: False positives; advanced editions cost more

SonarQube, from Sonar, is a static application security testing tool that analyzes source code to find quality, reliability and security issues early in development. It emphasizes deep analysis, including taint and dataflow tracking across first-party and third-party code, to surface complex vulnerabilities that simpler static analysis can miss.

It integrates into IDEs and CI/CD pipelines to scan branches, pull requests and merges as code is committed, and can enforce quality gates that block builds failing defined standards. SonarQube is available as a managed cloud service and as a self-hosted server.

Key features include:

Limitations (as reported by users on G2):

• Resource usage and bugs: Users report bugs and heavy memory consumption that can affect usability.
• False positives: Triaging false positives can be tedious and slow down code review.
• Complex configuration: Setup and rule tuning are challenging, particularly for less-experienced users.
• Tiered features: Some scanning and analysis capabilities are limited unless higher editions are purchased.
• Cost: Advanced features sit behind editions that users describe as expensive.

Source: SonarQube

Best for: Fast, developer-first SAST with reduced noise
Strengths: Rule-based plus AI detection with in-PR remediation
Things to consider: Custom-rule syntax has a learning curve

Semgrep Code is a static application security testing tool that combines rule-based static analysis with AI-driven techniques to improve accuracy and cut false positives. Its multimodal approach uses deterministic rules to catch classic issues such as cross-site scripting and SQL injection, and AI analysis to surface more complex flaws such as broken access control and business-logic vulnerabilities.

Semgrep applies organization-specific context to both rule-based and AI scans, filters out noise, and delivers step-by-step remediation guidance directly in pull requests so developers can fix issues before security teams review them.

Key features include:

Limitations (as reported by users on G2):

• Learning curve: Setup and customization can be difficult for new users.
• Custom-rule syntax: Writing custom rules has a learning curve that can slow initial adoption.
• Limited guidance: Some users want clearer documentation for creating rules and interpreting findings.
• Feature breadth: A few reviewers note it may need supplementary tools for fully comprehensive coverage.

Source: Semgrep

Best for: SAST embedded directly in developer repositories
Strengths: Pre-commit scanning with AI-assisted fixes
Things to consider: Integrations and interface can be challenging

Mend SAST embeds static security testing into developer workflows to find and fix vulnerabilities in both human-written and AI-generated code. It integrates directly into repositories and developer tools, emphasizing early detection and fast feedback so issues are caught before code is committed.

Mend pairs detection with automated, AI-assisted remediation and ties findings to recent code changes, and is part of the broader Mend AppSec platform that also covers software composition analysis.

Key features include:

Limitations (as reported by users on G2):

• Integration friction: Integrations can require extra tooling or workarounds, and complex multi-project setups are challenging.
• Implementation effort: Initial onboarding and agent configuration can take time and support involvementen.
• Interface: Separate SAST and SCA portals and the dashboard are described as clunky by some users.
• False positives: Some reviewers cite findings that are not reachable or are hard to verify.
• Pricing: Cost and the pricing structure are seen as on the higher side.

Source: Mend

Best for: Free, open-source dynamic testing and manual pentesting
Strengths: Intercepting proxy with active and passive scans
Things to consider: Community support; interface feels dated

Zed Attack Proxy (ZAP) is a free, open-source dynamic application security testing tool, now maintained as ZAP by Checkmarx, that is widely used to find vulnerabilities in running web applications. It works as an intercepting proxy, letting testers capture and modify HTTP traffic between the browser and the application while performing both automated and manual security testing.

ZAP supports active and passive scanning, crawling of traditional and JavaScript-heavy applications, and a large marketplace of community add-ons, and it can be automated through APIs and an automation framework for CI/CD use.

Key features include:

Limitations (as reported by users on G2):

• False positives: Scans can surface false-positive findings that must be validated manually.
• Sparse documentation: Some users report there is not enough documentation for handling errors and troubleshooting.
• Support model: Official support is limited, with users relying largely on the community.
• Dated interface: The interface is described as old-styled and cluttered compared with some commercial tools.
• Performance at scale: Scanning large applications can be resource-intensive and slow.

Source: ZAProxy

Best for: Scalable black-box testing of web apps and APIs
Strengths: Automated DAST with attack replay and DevOps integration
Things to consider: False positives; scans can be slow

Rapid7 InsightAppSec is a dynamic application security testing solution that automates black-box testing of web applications and APIs to find vulnerabilities in running environments. It focuses on scalable assessment across large application portfolios, accurate detection with fewer false positives, and integration with development workflows to streamline remediation.

InsightAppSec includes an attack-replay capability so developers can reproduce and validate findings, and it maps results to compliance frameworks for reporting.

Key features include:

Limitations (as reported by users on G2):

• False positives: Reviewers report false positives, including flags on tests that are not actually vulnerable.
• Coverage gaps: Some users feel certain critical or high-severity vulnerabilities are not reliably detected.
• Remediation tracking: The scanner does not always mark vulnerabilities as remediated once fixed, creating manual cleanup.
• Cloud deployment: Configuring scans for applications hosted in cloud environments can be difficult.
• Scan speed: Scans against a target can take a long time.

Source: Rapid7

Best for: DAST inside CI/CD with API coverage
Strengths: Tunneling onboarding, auth-aware scans, API testing
Things to consider: Sold within Checkmarx One; pricing is complex

Checkmarx DAST is a dynamic testing tool, part of the Checkmarx One platform, that identifies vulnerabilities in live applications across the development lifecycle. It is designed to fit modern DevOps workflows, enabling continuous testing on every build and coverage of complex application environments.

It uses built-in tunneling and ready-made scan templates to onboard internal apps quickly, supports complex authentication flows for full coverage, and centralizes findings for prioritization alongside other Checkmarx results.

Key features include:

Limitations (as reported by users on PeerSpot):

• Maturing dynamic testing: Users note that dynamic testing and API security capabilities still need strengthening.
• Scan speed: Scans and builds can be slow and are not always optimized for CI/CD.
• False positives: Findings can require triage and tuning to reduce noise.
• Pricing complexity: Cost is described as high, with complex module- and usage-based licensing.
• Reporting and UI: Reporting, dashboards and the interface are areas users would like improved.

Source: Checkmarx

Best for: Grey-box scanning with runtime code visibility
Strengths: AcuSensor pinpoints code; broad API testing
Things to consider: Per-target licensing; deep scans can be slow

Acunetix, with its AcuSensor component, provides interactive application security testing by combining dynamic scanning with runtime instrumentation. When AcuSensor is installed, Acunetix operates as a grey-box (IAST) scanner rather than a black-box DAST scanner, gaining visibility into back-end code execution during a scan. AcuSensor works with applications written in Node.js, PHP, Java (including Spring) and ASP.NET.

This runtime visibility lets Acunetix map hidden and unlinked files, discover APIs used by the application, and pinpoint the exact line of source code or stack-trace location for many vulnerabilities, which helps developers remediate faster.

Key features include:

Limitations (as reported by users on G2):

• Pricing: Licensing is seen as expensive, with recurring annual increases and limited fit for small teams.
• Per-target licensing: A scanned URL can be locked to the license for the contract term, making targets hard to swap.
• Setup complexity: Initial setup, scan configuration and integrations can be difficult for non-expert users.
• Scan performance: Deep scans of large applications can be slow and resource-intensive.
• Support and reliability: Some users report slow support and occasional scan or authenticated-login issues.

Source: Acunetix

Best for: IAST with active verification and data tracking
Strengths: Verifies findings, tracks sensitive data, CI/CD fit
Things to consider: Heavy footprint; premium pricing

Black Duck Seeker is an interactive application security testing tool that analyzes web applications during runtime to identify vulnerabilities with active verification and sensitive-data tracking. It monitors application interactions in the background during normal testing, processing large volumes of HTTP requests and automatically retesting findings to confirm whether they are real and exploitable.

Seeker integrates into CI/CD and DevOps workflows through native integrations, APIs and plugins, discovers known and unknown APIs, and maps findings to compliance standards while pinpointing vulnerable lines of code.

Key features include:

Limitations (based on publicly available sources):

• Agent deployment: Agent installation can be inconsistent across some application types and environments.
• Rule customization: Predefined detection rules are reported as rigid and not always a fit for every application.
• Adaptive learning: The tool relies on static rules rather than adaptive AI/ML learning over time.
• Pricing: Pricing is premium and there is no openly available free trial.
• Deployment footprint: It requires a dedicated Seeker server in addition to agents, adding operational overhead.

Source: Black Duck

Best for: All-in-one AppSec across code, cloud and runtime

Strengths: SAST, SCA, DAST, secrets and runtime in one platform

Things to consider: Noisy first setup; scans slow on large repos

Aikido is a unified application security platform that brings multiple scanning capabilities into a single product spanning code, cloud and runtime. Rather than a dedicated standalone IAST agent, it combines static analysis, software composition analysis, secrets detection, infrastructure-as-code scanning, container scanning, cloud posture management, dynamic testing and runtime protection, with an emphasis on reducing false positives and noise.

Teams can start with the module they need and expand into the full platform, and Aikido adds AI-assisted autofix and continuous testing across the software development lifecycle.

Key features include:

Limitations (as reported by users on PeerSpot):

• Scan speed: Initial or full scans can take time on large codebases.
• Pricing: Some reviewers find the cost steep, particularly for smaller users.
• Noisy initial setup: First connection can surface a large number of findings, making early triage difficult.
• Secret-detection false positives: Benign values are occasionally misflagged as secrets.
• Remediation guidance: Users want more detailed fix instructions and more flexible alert configuration.

Source: Aikido

Best for: Automated open-source dependency governance
Strengths: Policy engine, contextual prioritization and SBOMs
Things to consider: Alert volume; strongest for Java ecosystems

Sonatype Lifecycle is a software composition analysis tool that automates identification and remediation of risk in open-source components. It integrates into development workflows to provide continuous visibility into dependencies, helping teams detect vulnerability, license and architectural risks early while reducing technical debt from the software supply chain.

Sonatype draws on proprietary intelligence that extends beyond public vulnerability data, prioritizes real risk using factors such as reachability, and supports automated remediation and SBOM generation across the development lifecycle.

Key features include:

Limitations (as reported by users on PeerSpot):

• Alert volume: Default policy and alert volume can feel excessive, especially for teams early in their security journey.
• Prioritization: Some users want better noise reduction and prioritization in large environments.
• Language coverage: Depth and language support are seen as strongest for Java ecosystems.
• Reporting interface: The reporting UI can be unintuitive for infrequent users.
• Licensing cost: Licensing is described as costly, with some uncertainty about how counts are calculated.

Source: Sonatype

Best for: Open-source risk with reachability analysis
Strengths: Transitive scanning and malicious-package detection
Things to consider: Pricing; scans can be slow

Checkmarx SCA, part of the Checkmarx One platform, helps organizations manage risk in open-source components by identifying vulnerabilities, malicious packages and license issues. It integrates into development workflows and emphasizes accurate detection and prioritization based on whether vulnerable code is actually reachable.

Checkmarx SCA scans direct and transitive dependencies to unlimited depth, draws on a large proprietary database of malicious packages, and provides remediation guidance, policy automation and SBOM support.

Key features include:

Limitations (as reported by users on PeerSpot):

• Pricing: Cost is seen as high relative to some competitors.
• Scan performance: Scans can be slow and performance is described as inconsistent.
• Support: Some users report that support quality has weakened over time.
• API security gaps: API security capabilities are seen as needing strengthening.
• No impact simulation: There is no quick way to test the effect of a change without rerunning a full analysis.

Source: Checkmarx

Best for: Developer-first open-source dependency fixes
Strengths: IDE and CI integration with risk scoring and fix PRs
Things to consider: False positives; pricing on higher tiers

Snyk is a software composition analysis tool focused on helping developers find and fix vulnerabilities and license issues in open-source dependencies throughout the development lifecycle. It integrates into IDEs, repositories, CI/CD pipelines and production environments to enable continuous scanning and monitoring.

Snyk emphasizes risk-based prioritization using a risk score that weighs factors such as reachability, exploit maturity and EPSS/CVSS, and it automates fixes through pull requests with the required upgrades and patches.

Key features include:

Limitations (as reported by users on PeerSpot):

• Documentation: Some users find documentation insufficient, which can slow troubleshooting.
• False positives: It can flag vulnerabilities that are not reachable or exploitable, creating noise to filter.
• Language and depth: Reviewers want broader language coverage and stronger scanning depth.
• Integration friction: There can be friction integrating with some IDE plugins, build tools and CI/CD systems.
• Pricing and API access: Higher tiers can be expensive and API access is limited on lower plans.

Source: Snyk

Best for: Kubernetes-native application protection in CI/CD

Strengths: Scales with pods, auto-generated policies, OWASP coverage

Things to consider: Interface has a learning curve for new users

Radware Kubernetes WAF is a Kubernetes-native web application firewall for CI/CD environments orchestrated by Kubernetes. It is designed to fit these environments natively, scaling application security with Kubernetes pods and integrating with software provisioning, testing and visibility tools in the pipeline, with insight down to the pod and container levels.

The system combines signature-based and behavior-based security models to address known and zero-day threats, automatically generates granular protection policies based on application behavior, and supports both on-premise and cloud-based deployments. Radware provides NSS Labs recommended and ICSA Labs certified protection for microservices.

Key features include:

Limitations (based on publicly available sources):

• Learning curve: The interface can take time for new SOC users to interpret traffic and advanced configurations.
• Reporting customization: Reporting could offer more customization for SOC insights.
• Independent review coverage: As a specialized product, it has limited independent review coverage to draw on.

Source: Radware

Best for: In-cluster, no-sidecar Layer 7 protection

Strengths: Helm deploy, AI detection, east-west coverage

Things to consider: Reporting and dashboards are limited

Prophaze provides a Kubernetes-focused web application firewall that secures traffic within clusters at the application layer. It applies inline, AI-driven Layer 7 protection to requests, routes and pods without requiring sidecars or application changes, and is designed to protect east-west service-to-service traffic that never reaches a traditional perimeter WAF.

Prophaze deploys through a native Helm chart that drops into existing manifests, works across managed and self-managed Kubernetes, and integrates with common ingress controllers and service meshes such as NGINX, Istio, Traefik and Envoy.

Key features include:

Limitations (as reported by users on G2):

• Reporting: Logs and reports can be hard to fetch from the portal, and scheduled reports are not available.
• Dashboard customization: Users want customizable dashboards and attack-type-based visibility views.
• Pricing: Pricing is flagged as an upfront concern for enterprise deployments.
• Report detail balance: Exported reports can include excessive, unnecessary detail.
• User management: Some options for non-administrative user access are missing.

Source: Prophaze

Best for: Workload-level WAF inside Kubernetes clusters

Strengths: Ingress and east-west inspection with microsegmentation

Things to consider: Steep learning curve; needs networking skills

Calico, from Tigera, provides a workload-based web application firewall that protects Kubernetes applications from application-layer attacks inside the cluster. Unlike traditional edge-based WAFs, Calico applies controls at the workload level so it can inspect both ingress and internal service-to-service (east-west) traffic where communication actually happens.

The workload-centric WAF is part of Calico’s broader platform for Kubernetes networking and security, which also includes microsegmentation, workload-based intrusion detection and prevention, and observability of cluster traffic.

Key features include:

Limitations (as reported by users on G2):

• Complex setup: Installation can be daunting for those without networking or Kubernetes experience.
• Troubleshooting policies: Diagnosing network-policy behavior is difficult, especially for beginners.
• Configuration effort: Configuring Calico requires effort and networking know-how.
• Learning curve: Network policies and interface intricacies take time to learn.
• Feature gaps: Some users note limited enterprise options and no built-in service mesh.

Source: Tigera