Choosing API Security Solutions: 10 Criteria & 8 Solutions Compared

• End-to-end platform: Choose a platform that combines API discovery, testing, posture management, risk assessment, and runtime protection in a single solution.
• Deployment across multiple diverse environments: Ensure the solution provides consistent protection across cloud, on-premises, Kubernetes, hybrid, and multi-cloud environments.
• Automation of heavy-resource processes: Prioritize platforms that automate API discovery, inventory, risk prioritization, policy creation, and threat detection to reduce manual effort.
• Managed service and support SLA: Evaluate vendor support quality, response time SLAs, and optional managed security services for ongoing operational assistance.
• OWASP API Security Top 10 coverage: Verify comprehensive protection against the latest OWASP API Security Top 10 risks through detection, prevention, and reporting capabilities.

• API DDoS protection: Confirm the platform can detect and mitigate API-specific DDoS attacks while maintaining availability for legitimate users.
• WAAP integration: Look for seamless integration with WAAP capabilities to unify API security, WAF, bot management, and threat visibility.
• Validate runtime accuracy: Assess real-world detection accuracy, false-positive rates, and the platform's ability to identify context-aware attacks.
• Review deployment and operational complexity: Select a solution that minimizes deployment effort, operational overhead, and ongoing maintenance requirements.
• Assess integration with existing architecture: Ensure compatibility with existing API gateways, CI/CD pipelines, identity providers, SIEMs, and cloud infrastructure.

Runtime API protection platforms:

• Radware API Protection: WAAP-integrated platform combining API discovery, behavioral protection, bot mitigation, and API-specific DDoS defense.
• Salt Security: AI-driven API security platform focused on continuous discovery, posture management, and behavioral detection of business logic attacks.
• Akamai API Security: Edge-native API security with continuous discovery, runtime threat detection, and API testing integrated into CI/CD pipelines.
• Imperva API Security: Unified API and application security platform providing API discovery, risk assessment, runtime protection, and WAF integration.
• Wallarm API Security: Inline API protection platform supporting multiple API protocols with real-time attack detection and blocking.

Developer-focused testing and API gateway tools:

• StackHawk: Developer-focused DAST platform that automates API security testing within CI/CD pipelines before deployment.
• 42Crunch: API security platform centered on OpenAPI governance, contract validation, and shift-left security testing.
• Kong Gateway: High-performance API gateway providing authentication, rate limiting, traffic control, and extensible API management.

• API Security Solutions at a Glance
• Why Choosing the Right API Security Solution Matters

• How to Choose API Security Solutions
• Notable API Security Solutions

APIs Expand the Enterprise Attack Surface

APIs significantly increase the attack surface of an organization by exposing endpoints that interact with backend systems and data. Unlike traditional monolithic applications, modern architectures often rely on numerous APIs to connect microservices, third-party services, and client applications. Each API endpoint represents a potential entry point for attackers, making it essential to secure them individually and collectively. As organizations adopt APIs to enable digital services and integrations, the number and diversity of exposed interfaces multiply, further complicating security efforts.

Why some tools aren't enough: Traditional security controls like firewalls and intrusion detection systems are often insufficient for protecting APIs because these controls are not designed to understand the unique data flows, authentication mechanisms, and business logic that APIs rely on. Attackers can exploit overlooked or poorly managed APIs, including undocumented or "shadow" APIs, to bypass security measures and gain unauthorized access. Therefore, organizations must implement API-specific security solutions to reduce the risk posed by an expanded attack surface.

Runtime Behavior Reveals Hidden Security Risks

Many API security tools rely on static code analysis, software bills of materials, predeployment scans, or log data. These methods can identify some weaknesses, but they do not show how APIs behave after deployment. As a result, they may miss risks that appear only in live production traffic.

Why some tools aren't enough: Runtime monitoring can expose sensitive data in URLs or headers, missing security policies, weak authentication, and inconsistent authorization controls. It can also detect changes in API behavior and configuration over time. This gives security teams a more accurate view of actual risk and helps them prioritize issues based on real activity rather than theoretical findings.

Business Logic Attacks Require Specialized Protection

API attacks increasingly target business logic rather than traditional software flaws. Attackers can study application workflows, map dependencies between API calls, and misuse valid requests to manipulate normal business processes. Because the traffic may appear legitimate, these attacks can bypass conventional controls and remain difficult to detect.

Why some tools aren't enough: Effective protection must understand how API workflows are supposed to operate. It should monitor sequences of calls, identify abnormal behavior, and adapt as application logic changes. This is especially important for attacks involving authorization bypass, access to sensitive workflows, or manipulation of content, pricing, and inventory.

API Security Must Support Compliance Requirements

Organizations in regulated industries must meet requirements for API protection, monitoring, reporting, and risk management. Frameworks such as PCI DSS 4.0, NIS2, and DORA increase the need for stronger controls around API activity, business logic attacks, and supply chain exposure.

Why some tools aren't enough: A suitable API security solution should provide continuous visibility into runtime behavior and produce information that can support audits and reporting. It should also help teams identify weaknesses, track remediation, and show how security controls are applied across the API environment. This reduces the effort required to demonstrate compliance and makes regulatory gaps easier to address.

1. End-to-End Platform That Includes Discovery and Management, Testing, Posture Management and Risk Assessment, and Runtime Protection

An effective API security solution should cover the entire API lifecycle rather than focusing on a single stage. This includes:

• Automatically discovering managed and unmanaged APIs
• Maintaining an accurate inventory
• Testing APIs during development
• Continuously assessing security posture
• Protecting APIs at runtime

A unified platform reduces security gaps that can occur when separate tools are used for different functions. Using one platform also simplifies operations by providing consistent visibility, policies, and reporting across development and production environments. Security teams can prioritize risks based on complete context, track remediation efforts, and detect threats without switching between multiple products or manually correlating data.

2. Deployment Across Multiple Diverse Environments

Most organizations run APIs across a combination of public clouds, private clouds, on-premises infrastructure, Kubernetes clusters, and edge environments. API security solutions should support these diverse deployment models while providing consistent visibility and policy enforcement regardless of where an API is hosted.

The solution should also accommodate different architectural approaches, including:

• Traditional applications
• Microservices
• Serverless workloads
• Multiple API gateways

Broad deployment support allows organizations to secure all APIs with a consistent approach as infrastructure evolves over time.

3. Automation of Heavy-Resource Processes

API environments change rapidly as new services, versions, and integrations are introduced. Manual processes for API discovery, inventory management, risk assessment, and policy creation are difficult to maintain at scale and often leave security teams with outdated information. Automation helps keep security controls aligned with the current API environment.

Organizations should look for solutions that automatically:

• Discover new APIs
• Classify sensitive data
• Identify configuration issues
• Prioritize risks
• Generate alerts for suspicious activity

Automating repetitive tasks reduces operational overhead, improves consistency, and enables security teams to focus on investigating and responding to high-priority threats.

4. Managed Service and Support SLA

The quality of vendor support can significantly affect the success of an API security deployment, especially when responding to critical incidents or implementing new capabilities. Organizations should evaluate:

• The availability of technical support
• Response time commitments
• The expertise of the support team

Well-defined service level agreements (SLAs) help ensure that issues are resolved within acceptable timeframes. Some organizations may also benefit from managed security services, where the vendor assists with monitoring, policy tuning, threat investigation, and ongoing optimization. This can be especially valuable for teams with limited API security expertise, allowing them to improve protection without increasing internal operational workload.

5. OWASP API Security Top 10 Coverage

The OWASP API Security Top 10 is a widely recognized framework outlining the most critical security risks facing APIs. API security solutions should provide comprehensive protection against these threats, which include issues like:

• Broken authentication
• Excessive data exposure
• Injection attacks

Coverage of the OWASP API Security Top 10 ensures that the most common and impactful vulnerabilities are addressed, reducing the likelihood of successful exploitation by attackers. When evaluating solutions, organizations should look for features that address each category in the OWASP API Security Top 10, such as granular access controls, input validation, rate limiting, and monitoring for unusual behavior.

6. API DDoS Protection

Distributed Denial of Service (DDoS) attacks targeting APIs are a growing concern as attackers seek to overwhelm endpoints and disrupt services. Effective API security solutions must include DDoS protection tailored to API traffic patterns, which differ significantly from traditional web applications. This involves:

• Detecting high-volume and low-and-slow attacks
• Automatically blocking malicious requests
• Ensuring that legitimate traffic is not affected

DDoS protection should be scalable to handle sudden spikes in traffic without introducing latency or downtime. API security solutions should integrate with broader network defenses and provide detailed visibility into attack attempts and mitigation actions. By including DDoS protection as a core feature, organizations can maintain API availability and performance even in the face of large-scale attacks, safeguarding business operations and customer trust.

7. WAAP Integration

Web Application and API Protection (WAAP) solutions combine multiple security functions, including web application firewalls (WAF), bot management, and API security, into a single platform. Integration with WAAP enables organizations to:

• Manage security policies consistently across web and API traffic
• Reducing complexity
• Improve overall protection

API security solutions should support seamless integration with WAAP platforms, allowing for unified threat detection, analytics, and incident response. WAAP integration also simplifies security operations by providing a centralized management console and automating policy enforcement. This reduces the risk of misconfigurations and ensures that security measures evolve with changing threats and business requirements.

8. Validate Runtime Accuracy

Accurate detection and prevention of API threats in real time is essential for effective security. API security solutions must demonstrate high runtime accuracy, minimizing false positives that can disrupt legitimate traffic and false negatives that allow attacks to go undetected. Solutions should leverage:

• Advanced analytics
• Machine learning
• Context-aware analysis

This helps distinguish between benign and malicious activity based on the behavior and intent of API requests. Validation of runtime accuracy should include rigorous testing in real-world scenarios, monitoring performance metrics, and regularly updating detection models to reflect evolving attack techniques. Organizations should seek solutions that provide transparent reporting on detection outcomes and allow for fine-tuning of rules and policies.

9. Review Deployment and Operational Complexity

Deployment complexity can have a major impact on the time required to improve API security and the ongoing cost of operating the platform. Some solutions require inline deployment, changes to network routing, or API gateway modifications, while others can analyze traffic using mirrored network data or logs. Organizations should evaluate:

• How quickly a solution can be deployed
• Whether it supports cloud, on-premises, and hybrid environments
• How much operational disruption it introduces

Operational requirements are equally important. Look for centralized policy management, automated updates, and integrations with existing monitoring and incident response workflows. Solutions that reduce manual tuning and simplify day-to-day administration allow security teams to focus on investigating real threats instead of maintaining the platform. Scalability, high availability, and clear documentation are also important for long-term operational success.

10. Assess Integration with Existing Architecture

API security solutions should integrate with the technologies already used to build, deploy, and operate APIs. This includes:

• API gateways
• Load balancers
• Identity providers
• SIEM platforms
• CI/CD pipelines
• Cloud services
• Container orchestration platforms such as Kubernetes

Broad integration support reduces deployment effort and enables security controls to fit naturally into existing workflows instead of creating isolated processes. Organizations should also evaluate how well a solution shares telemetry and security findings with other tools. Standard APIs, webhooks, and support for common data formats make it easier to automate incident response and correlate API events with other security data.

Best for: Teams needing WAAP-integrated API protection with DDoS defense

Strengths: Automated discovery, business logic defense, DDoS and bot control

Things to consider: Reporting and some analytics views could be more streamlined

Radware API Security is delivered as part of Radware's Cloud Application Protection Services. It automatically discovers API endpoints, including undocumented ones, and detects changes to them, then generates tailored security policies for each endpoint.

The solution continuously learns each API's business logic from real-time transactions to identify and block business logic attacks as they occur. It applies a positive security model that validates requests against the API schema and scans for embedded attacks, and it extends coverage to bot activity, account takeover, data leakage, and API-focused DDoS. It addresses the PCI DSS 4 requirement to protect against business logic vulnerability-based attacks.

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Source: Radware

Best for: Large enterprises with complex, high-volume API ecosystems

Strengths: Behavioral threat detection, discovery, posture and compliance

Things to consider: Reporting depth and some integrations still maturing

Salt Security's Agentic Security Platform is built to discover, protect, and govern APIs, including those that power AI agents. Its Illuminate capability gives real-time visibility into every API running in production, including shadow, third-party, and deprecated endpoints, without agents or manual tagging.

Patented behavioral analysis baselines normal API activity to detect attacker reconnaissance and stop threats such as low-and-slow attacks. The platform correlates activity back to a single entity and sends consolidated alerts to reduce alert fatigue, maps API posture to frameworks such as PCI DSS, GDPR, NIST, and SOC 2, and deploys out of band so it does not add latency.

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Best for: Global enterprises wanting edge-scale API protection and testing

Strengths: Continuous discovery, ML detection, CI/CD testing, edge scale

Things to consider: Setup and tuning can be complex; alert noise until baselined

Akamai API Security discovers, tests, and protects APIs across their lifecycle, from legacy REST APIs to GenAI, LLM, and MCP endpoints. It is platform-agnostic and can assess API traffic through a native connection to the Akamai CDN or from source code, automatically discovering and tagging shadow, zombie, and AI-related APIs.

Machine learning baselines behavior to flag anomalous usage, data leakage, tampering, and policy violations, and the solution analyzes APIs against the OWASP Top 10 API Security Risks. It runs 150+ dynamic tests in CI/CD to shift testing left, and it monitors both north-south and east-west traffic. It can pair with Akamai App & API Protector for inline blocking.

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Source: Akamai

Best for: Teams standardizing API and app security in one WAF console

Strengths: Unified discovery, BOLA detection, WAF-integrated mitigation

Things to consider: Edge-focused inventory; tuning and console depth take time

Imperva API Security is part of a unified application security platform that manages API discovery, risk assessment, detection, and mitigation from a single console across cloud, on-premises, and hybrid environments. It continuously discovers public, private, and shadow APIs, classifies them, and assesses risk against the OWASP API Security Top 10.

A hybrid behavioral and rule-based engine scores anomalies and detects Broken Object Level Authorization (BOLA) and other business logic abuse, while the integrated Cloud WAF and WAF Gateway enforce inline mitigation. It also supports shift-left testing by scanning an uploaded API specification file for posture gaps, and integrates with gateways such as Kong, MuleSoft, Azure APIM, Apigee, and F5.

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Source: Imperva

Best for: Cloud-native teams needing inline, multi-protocol API blocking

Strengths: Real-time inline blocking across REST, GraphQL, gRPC, SOAP, WS

Things to consider: Initial tuning and false-positive management take effort

Wallarm API Security is a real-time API protection platform that discovers every API in an environment and blocks attacks inline across REST, GraphQL, gRPC, SOAP, and WebSocket, without requiring an API specification. It builds an inventory from live traffic, including shadow, zombie, and rogue APIs, and surfaces sensitive data in transit.

It blocks the OWASP API Top 10, injections, BOLA, broken authentication, and 0-day exploits, and detects abuse such as credential stuffing and account takeover by behavior rather than signatures. It can block at the request, session, or IP level based on the attack pattern, scans public sources for leaked API keys, and pushes events to SIEM and workflow tools.

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Source: Wallarm

Best for: Dev teams shifting API security testing into CI/CD pipelines

Strengths: Automated DAST for REST, GraphQL, gRPC, SOAP in every build

Things to consider: Testing only; per-contributor pricing; setup effort for some

StackHawk is a dynamic application security testing (DAST) platform built to run inside developer workflows. It automates security testing for REST, GraphQL, gRPC, and SOAP APIs by simulating real-world attacks and identifying vulnerabilities before code reaches production.

Tests run on every pull request in CI/CD, and developers receive vulnerability details, request and response evidence, and fix documentation in the context of the code they are working on. The platform also tests LLM-integrated APIs for prompt injection, data disclosure, and output handling issues, and supports custom test scenarios for application-specific logic. It deploys through a Docker-based scanner that integrates with tools such as GitHub.

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Source: StackHawk

Best for: API contract governance and schema validation across teams

Strengths: OpenAPI audit, conformance scanning, micro-firewall protection

Things to consider: Effectiveness depends on accurate OpenAPI specs

42Crunch is a developer-first API security platform that standardizes and automates API security across the development lifecycle. It audits OpenAPI definitions against 300+ security checks and returns a security score with prioritized remediation, then scans live endpoints for conformance against the contract.

For runtime, it deploys a low-footprint, container-native micro-firewall that enforces traffic based on the API contract. The platform embeds in IDEs, code repositories, and CI/CD pipelines so checks run before code merges, and it gives security teams centralized management of standardized contracts and runtime policies. It can also build API contracts from traffic and other sources.

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Source: 42Crunch

Best for: Teams securing API traffic at a scalable gateway layer

Strengths: High-performance proxy with auth, rate limiting, plugin controls

Things to consider: Gateway controls, not dedicated API threat detection

Kong Gateway is a lightweight, cloud-native API gateway that routes and secures API traffic across cloud, on-premises, Kubernetes, and hybrid environments. It runs as a high-performance proxy and applies security and traffic controls through a plugin architecture.

Out-of-the-box and enterprise plugins cover authentication and authorization, including API keys, JWT, full OAuth 2.0, OpenID Connect, mutual TLS, and SAML, along with rate limiting, request validation, and role-based access control. It runs natively on Kubernetes through an ingress controller, supports declarative and GitOps-style configuration, integrates with secrets managers such as Vault, and offers FIPS 140-2 compliant data planes.

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Source: Kong