Best API Security Tools in 2026

Orca Security Orca API Security

Best for: Cloud security teams already using Orca CNAPP

Orca API Security solves a specific and underappreciated problem: you cannot secure APIs you do not know exist. Its SideScanning technology reads cloud workload data out-of-band, without agents, without code instrumentation, and without touching your runtime traffic. That means you get an API inventory across AWS, Azure, GCP, and four other cloud providers without deploying a single sensor. For teams already drowning in agent sprawl, that matters.

What separates Orca from pure-play API security tools is context. Because it shares a data collection layer with Orca's CSPM, CWPP, CIEM, and DSPM modules, it can correlate an exposed API endpoint with the identity permissions attached to the workload running it, the misconfigurations in the surrounding infrastructure, and the sensitive data that endpoint can reach. That cross-domain correlation is genuinely hard to replicate with point tools.

The trade-off is scope. Orca API Security is a posture and discovery tool, not a runtime protection engine. It will find your shadow APIs and flag authentication weaknesses, but it does not sit inline to block malicious requests. If you need real-time attack prevention, you will need to pair it with a WAF or a dedicated API protection tool. It also integrates with Jira and PagerDuty for alerting, and Splunk and Snowflake for data export, which covers most enterprise workflows.

This module makes the most sense if you are already an Orca customer or evaluating Orca as your CNAPP. Buying it standalone would be unusual and probably not cost-effective. For cloud security teams that want API visibility folded into their existing cloud risk program without adding operational overhead, it is a natural fit.

Cloudflare API Shield

Best for: Teams routing traffic through Cloudflare wanting inline API protection

Cloudflare API Shield does something most API security tools do not: it enforces a positive security model at the network edge, across 330 global locations, before malicious traffic ever reaches your origin. Instead of looking for known-bad patterns, it defines what valid API traffic looks like using OpenAPI schema validation and then blocks everything that does not conform. That approach is effective against zero-day exploits and novel attack patterns that signature-based tools miss.

The ML-based discovery engine finds shadow APIs by analyzing traffic patterns, which is useful for organizations that have grown their API surface organically and lost track of what is actually exposed. The payload scanning for data exfiltration is a practical addition: it catches sensitive data leaking in API responses, not just in requests. DDoS protection for APIs is included as part of the broader Cloudflare network, which is a meaningful advantage over tools that treat volumetric attacks as a separate problem.

The practical constraint is obvious: this tool only protects APIs that route through Cloudflare. If you have internal east-west API traffic between microservices, or APIs on infrastructure that bypasses Cloudflare, API Shield does not see them. It is fundamentally a perimeter tool. The OpenAPI integration is solid, but you need to have or generate schemas for your APIs to get the most out of schema validation.

For teams already using Cloudflare for CDN or DDoS protection, adding API Shield is low-friction and the unified analytics across web and API traffic is genuinely useful. For teams not on Cloudflare, the switching cost is the real question to answer before evaluating this tool.

Akamai API Security

Best for: Enterprises needing AI API discovery and shift-left CI/CD testing

Akamai API Security stands out in 2026 for one specific reason: it explicitly discovers and inventories AI-related APIs, including endpoints connected to GenAI models, LLMs, and Model Context Protocol servers. As organizations wire up internal tools to OpenAI, Anthropic, and self-hosted LLMs, those API connections become attack surface. Most API security tools were not built with that in mind. Akamai was.

Beyond AI API coverage, the platform's CI/CD integration for shift-left testing is well-implemented. It runs automated tests that simulate malicious traffic against APIs before they reach production, which means you catch OWASP API Top 10 issues like BOLA and improper input validation at the pipeline stage rather than after a breach. The business logic visualization is also worth noting: seeing how API traffic flows across your infrastructure helps security teams understand what an attacker would see, not just what your documentation says.

The native connection to Akamai CDN is both a strength and a constraint. If your traffic runs through Akamai, the integration is tight and the traffic assessment is deep. If it does not, you are adding a CDN dependency to get full value from the tool. The managed security service option is useful for organizations that want expert coverage without building an internal API security practice, but it adds cost and a dependency on Akamai's SOC team.

Akamai API Security fits large enterprises with complex API estates, active AI integrations, and development teams that need security embedded in their pipelines. Smaller teams or those without Akamai CDN relationships will find the value proposition harder to justify against more deployment-agnostic alternatives.

Imperva API Security

Best for: Enterprises needing hybrid deployment with real-time BOLA blocking

Imperva API Security is one of the few tools in this category that handles both north-south and east-west traffic, including encrypted microservices communication. That matters in modern architectures where the most sensitive API calls often never leave the internal network. Most perimeter-focused tools are blind to that traffic. Imperva is not.

The real-time BOLA detection deserves specific attention. Broken Object Level Authorization is consistently the top-ranked risk in the OWASP API Security Top 10 because it is hard to detect with static analysis or schema validation. Imperva uses a hybrid behavioral and rule-based engine to catch BOLA at runtime, and it can trigger automated inline mitigation through its Cloud WAF or WAF Gateway integration. That closed-loop response, from detection to block, without a human in the loop, is operationally significant for teams that cannot staff 24/7 manual response.

The deployment flexibility is a genuine differentiator. Agent-based, agentless, cloud-managed, self-managed: Imperva supports all of them. That means it can fit into environments where other tools cannot, including on-premises infrastructure and regulated industries where data cannot leave the building. The bot protection integration through Imperva Advanced Bot Protection adds another layer for APIs that are targeted by credential stuffing or scraping attacks.

The trade-off is complexity. A platform that does this much has a corresponding configuration surface. Teams without dedicated security engineering resources may find the initial setup and tuning demanding. The integrations with Kong, MuleSoft, Azure APIM, Apigee, and F5 are valuable for enterprises with mature API gateway infrastructure, but they require those gateways to already be in place.

Harness Traceable AppSec

Best for: Dev-forward teams securing microservices and GenAI APIs end-to-end

Traceable AppSec takes a lifecycle view of API security that most tools in this category do not. Rather than treating discovery, testing, and protection as separate products, it connects them: APIs discovered at runtime feed into security testing, and testing results inform runtime protection policies. That closed loop reduces the gap between what your security team knows and what your development team ships.

The testing methodology is worth understanding. Traceable builds test cases from real and replayed traffic, not just from API specifications. That means it tests the APIs that are actually running, with the parameters that real users send, rather than the idealized version in your OpenAPI doc. The result is fewer false positives and more relevant findings. For teams that have been burned by scanners that generate hundreds of low-signal alerts, that distinction matters.

The GenAI API security capability is a practical response to a real problem. As development teams integrate LLM APIs into applications, those endpoints carry prompt injection risks, data exfiltration paths, and authorization gaps that traditional API security tools were not designed to detect. Traceable's coverage here is notable, though the depth of that coverage relative to Akamai's AI API discovery is worth evaluating in a proof of concept.

The main gap in the database record is integrations: the data shows none listed, which is unusual for an enterprise platform and worth probing in a vendor conversation. Deployment is cloud-only, which rules it out for on-premises or air-gapped environments. For cloud-native teams building on microservices and containers who want security woven into the SDLC rather than bolted on at the perimeter, Traceable is a strong candidate.

Salt Security Salt Collect

Best for: Teams needing deep runtime behavioral analysis of live API traffic

Salt Security Salt Collect does one thing and does it with focus: it ingests real API traffic and builds behavioral baselines from it. The insight behind this approach is that most API attacks, especially BOLA, authentication abuse, and business logic exploitation, look normal at the request level. They only become visible when you analyze sequences of calls, user behavior over time, and deviations from established patterns. Static schema validation and signature matching miss them entirely.

The downloadable collector model means Salt Collect can be deployed in environments where inline or cloud-based tools cannot reach, including hybrid infrastructure and on-premises API gateways. The sensitive data tracing capability tracks how data moves through APIs in motion, which is useful for compliance programs that need to demonstrate data flow controls, not just access controls.

The trade-off is that behavioral analysis requires time to establish baselines. In the first days or weeks of deployment, the tool is learning, not protecting. Teams that need immediate blocking capability will need to pair Salt Collect with a WAF or API gateway policy engine. The tool is better understood as a detection and investigation platform than a prevention tool.

The lack of listed integrations in the database is a gap worth investigating before purchase. For organizations that need to feed findings into a SIEM or ticketing system, that connectivity is essential. Salt Collect fits best in security teams that have the analyst capacity to act on behavioral findings and want deep visibility into API usage patterns, not just a list of vulnerabilities.

Cequence Security Cequence API Security

Best for: Teams needing inside-out and outside-in API discovery with bot protection

Cequence API Security approaches discovery from two directions simultaneously: inside-out, by analyzing internal traffic and infrastructure, and outside-in, by looking at what is visible from the internet. That dual approach catches different classes of shadow APIs. An internal service that accidentally exposes an endpoint externally shows up in the outside-in scan. An internal API that was never documented shows up in the inside-out analysis. Together, they give a more complete picture than either approach alone.

The Flow Graph feature is practically useful for security teams trying to understand API dependencies before making changes or assessing blast radius during an incident. Visualizing which APIs call which other APIs, and what data flows between them, is the kind of context that makes the difference between a useful finding and an actionable one. The automatic API specification generation is also valuable for organizations with legacy APIs that were never properly documented.

The ML-based sensitive data identification with regional pattern support is a detail that matters for multinational organizations. Detecting a Brazilian CPF number or a German IBAN requires different patterns than detecting a US Social Security Number. Cequence handles that differentiation, which is relevant for compliance programs operating across jurisdictions.

The bot protection integration and native mitigation capabilities, including blocking, rate limiting, and deception, mean Cequence can act on what it finds rather than just reporting it. That makes it more operationally complete than tools that stop at detection. The CI/CD integration and Postman collection support make it accessible to development teams, not just security teams. For organizations that want a single platform covering discovery, testing, and protection with strong bot defense, Cequence is worth a serious evaluation.

How to Choose the Right Tool

API security tools differ more than most security categories. Some sit inline and block traffic. Some read cloud workload data passively. Some focus on the SDLC. Some are modules inside platforms you may already own. Before you evaluate vendors, answer three questions: Where do your APIs live (cloud, on-prem, hybrid)? Do you need to stop attacks in real time or build an inventory and posture program first? And do you have the engineering capacity to tune a behavioral analysis platform, or do you need something that works out of the box?

• Deployment model fit: If your APIs run on-premises or in a hybrid environment, cloud-only tools like Traceable AppSec and Cloudflare API Shield will leave gaps. Imperva and Salt Security support hybrid and on-prem deployments. Orca is cloud-only but covers six cloud providers. Match the tool's deployment model to where your APIs actually run before anything else.
• Discovery approach: Agentless discovery (Orca) is low-friction but limited to cloud workloads. Traffic-based discovery (Salt Collect, Cequence) finds APIs that are actively used. Edge-based discovery (Cloudflare, Akamai) finds what is publicly reachable. You may need more than one approach to cover your full API surface, especially if you have both internal microservices and public-facing endpoints.
• Real-time blocking vs. detection: Tools like Cloudflare API Shield and Imperva can block malicious requests inline. Tools like Salt Collect and Orca are detection and visibility platforms that require a separate enforcement layer. If you need to stop an attack in progress without human intervention, you need an inline tool or a tight integration between a detection tool and a WAF.
• BOLA and business logic coverage: BOLA (OWASP API1:2023) is the hardest API risk to detect because it requires understanding authorization context, not just request syntax. Imperva has explicit real-time BOLA detection. Salt Collect's behavioral baselining can surface BOLA patterns over time. Schema validation tools like Cloudflare will not catch BOLA if the request is structurally valid. Know which risks you are most exposed to before choosing.
• CI/CD and shift-left integration: If your development teams ship APIs frequently, you need security testing in the pipeline, not just at the perimeter. Akamai, Imperva, Traceable, and Cequence all support CI/CD integration. Cloudflare and Orca do not have shift-left testing as a core capability. For DevSecOps programs, pipeline integration is not optional.
• AI and LLM API coverage: If your organization is integrating GenAI models or LLMs into applications, those API connections are new attack surface. Akamai explicitly covers GenAI, LLM, and MCP server APIs. Traceable also addresses GenAI API security. Most other tools in this list were not designed with that use case in mind. If AI APIs are part of your environment, weight this criterion heavily.
• Platform vs. point tool: Orca API Security only makes sense if you are already in or evaluating the Orca CNAPP. Cloudflare API Shield only makes sense if your traffic routes through Cloudflare. Buying a module to justify a platform relationship is a different decision than buying a dedicated API security tool. Be honest about whether you are solving an API security problem or extending a platform investment.
• Operational capacity: Behavioral analysis tools like Salt Collect require analyst time to review findings and tune baselines. Platforms like Cequence and Imperva have more automation but more configuration surface. If your security team is small, prioritize tools with strong out-of-the-box detection and automated mitigation over tools that require significant ongoing tuning.

Conclusion

API security is not a solved problem, and no single tool in this list covers every angle. Cloudflare API Shield is the fastest path to inline protection if you are already on Cloudflare. Imperva is the most complete option for hybrid environments with a need for real-time BOLA blocking. Akamai is the strongest choice for enterprises with AI API exposure and active DevSecOps programs. Orca makes sense if you are building a cloud security program and want API visibility without adding agents. Salt Collect, Traceable, and Cequence each have specific strengths in behavioral analysis, lifecycle coverage, and dual-direction discovery respectively. Start with your deployment environment and your most pressing risk, then match the tool to that reality rather than the other way around.

Frequently Asked Questions

What is the difference between API security testing and API runtime protection?

API security testing scans APIs before or during deployment to find vulnerabilities like injection flaws, authentication gaps, and OWASP API Top 10 issues. Runtime protection monitors live traffic to detect and block attacks as they happen. You need both: testing catches design flaws before they reach production, and runtime protection handles attacks against APIs that are already live.

How do these tools find shadow APIs?

Different tools use different methods. Orca reads cloud workload data out-of-band to find APIs running in cloud infrastructure. Cloudflare and Akamai analyze traffic patterns at the edge to find endpoints that are being called but not documented. Cequence uses both internal traffic analysis and external scanning. The method matters because each approach finds different classes of shadow APIs.

Can I use one of these tools to meet PCI DSS or GDPR API security requirements?

Several tools in this list include compliance monitoring features, including Akamai, Imperva, and Cequence. They can help you demonstrate continuous API monitoring and data classification, which are relevant to PCI DSS and GDPR. However, compliance coverage depends on your specific control requirements, and you should map each tool's NIST and regulatory coverage to your actual audit scope before purchasing.

Do I need an API gateway to use these tools?

No. Most tools in this list can operate without an API gateway, using traffic mirroring, agents, or out-of-band scanning. Imperva integrates with gateways like Kong, MuleSoft, and Apigee if you have them, but it also works without them. Cloudflare API Shield acts as its own enforcement point at the edge.

What is BOLA and why do so many of these tools specifically call it out?

BOLA stands for Broken Object Level Authorization, and it is the top-ranked risk in the OWASP API Security Top 10. It occurs when an API does not properly verify that the requesting user is authorized to access a specific object, allowing attackers to access other users' data by manipulating IDs in requests. It is called out specifically because it is structurally valid traffic that bypasses schema validation and most signature-based detection.

Is agentless API discovery as thorough as traffic-based discovery?

Not always. Agentless discovery, like Orca's SideScanning, finds APIs by reading cloud workload configurations and metadata, which means it can find APIs that have never received traffic. Traffic-based discovery finds APIs that are actively being called, which may miss dormant endpoints but gives richer behavioral context. The best coverage comes from combining both approaches.

How this list was made

Commercial products only, one product per company, companies that were acquired are excluded. Ranked by market signals and an editorial review. Paid placements are labeled. Read the full methodology at /methodology.