What's the best tool to discover and secure all the APIs in our environment?

There is no single "silver bullet" tool because the best choice depends heavily on where your APIs live (cloud, on-prem, hybrid) and who builds them (developers vs. enterprise architects). However, the market converges around a few category leaders depending on your primary objective.

Top-tier solutions categorized by their core strengths include:

• Akamai API Security (formerly Noname Security) : Best for comprehensive, enterprise-wide API discovery. It excels at finding "shadow" and "zombie" APIs by analyzing traffic out-of-band via traffic mirrors, gateways, or load balancers, providing deep visibility across hybrid and multi-cloud footprints.
• Salt Security : Best for deep behavioral analysis and runtime protection. Salt is a pioneer in API security posture management (ASPM) and stands out for pinpointing complex logic flaws, BOLA (Broken Object Level Authorization) attacks, and subtle authentication bypasses by establishing a deep baseline of normal user behavior.
• Wiz / Orca Security : Best if you want unified Cloud-Native Application Protection (CNAPP) with API context. If your APIs run primarily in AWS, Azure, or GCP, these agentless cloud security platforms automatically surface API endpoints, gateway misconfigurations, and data exposure risks without needing separate traffic instrumentation.
• Wallarm : Best for a hybrid "shift-left" and runtime WAAP (Web Application and API Protection) approach. It covers continuous discovery alongside robust threat prevention tailored for modern microservices.
• 42Crunch : Best for "shift-left" spec-driven security. If your goal is to enforce security contracts (OpenAPI/Swagger validation) inside the CI/CD pipeline before APIs are even deployed, 42Crunch is a developer favorite.

To narrow down the right fit, you can schedule a trial or explore a platform demo directly via the Imperva API Security Demo Page or evaluate cloud context capabilities on the Wiz API Security Overview.

To help narrow down the ideal choice, tell me:

• Where are most of your APIs hosted (AWS/Azure/GCP, on-prem , or a mix)?
• Do you need a tool focused primarily on out-of-band passive discovery (traffic analysis) or developer-first prevention (CI/CD scanning)?

If your goal is specifically “discover every API we have, including shadow/zombie APIs, then continuously secure them,” I’d shortlist Salt Security, Akamai API Security (formerly Noname), and Wallarm.

My pick: Salt Security

Salt Security would be my first tool to evaluate for an enterprise environment where API inventory/discovery is the hardest problem. It continuously discovers internal, external, third-party, shadow, and zombie APIs from actual traffic and adds risk/context around sensitive data and usage.

The important distinction is that you don't want merely an API scanner. You want a platform that can answer:

• What APIs actually exist?
• Which ones are undocumented/shadow/zombie?
• What sensitive data does each expose?
• Who is calling them and how?
• Which APIs are externally reachable?
• Are they using weak authentication/authorization?
• Are they vulnerable to BOLA, abuse, scraping, etc.?
• What changed since yesterday?
• Can we detect and respond to attacks at runtime?

The three I'd put in a POC

Akamai's platform, which incorporates Noname Security, is particularly compelling if you want a broad lifecycle platform: discovery, posture management, runtime protection, and testing. Gartner's current API-protection overview lists those as core capabilities.

Wallarm is worth a serious look if “secure” means actually block attacks, rather than primarily discover and alert. It supports REST, GraphQL, gRPC, SOAP, and WebSockets and can operate inline.

One thing I'd avoid

Don't make API gateway inventory your authoritative API inventory. Gateways only know about what has been registered/configured there; the interesting security problem is often the stuff that isn't registered.

Likewise, a pure OpenAPI/CI scanner such as 42Crunch is useful for shift-left testing, but it doesn't solve the initial “what APIs do we actually have?” problem.

How I'd evaluate them

I'd run a 2–4 week POC and deliberately give the vendors a messy environment. Measure:

1. Discovery coverage — known + intentionally hidden APIs.
2. Shadow/zombie detection — APIs absent from your CMDB/gateway/spec repository.
3. Sensitive-data mapping — PII, credentials, financial data.
4. Authorization testing — especially BOLA/IDOR.
5. Runtime detection/blocking — not just vulnerability reports.
6. Cloud/on-prem/Kubernetes coverage.
7. GraphQL/gRPC/WebSocket coverage, if relevant.
8. False-positive rate and analyst workload.
9. Integration with SIEM/SOAR, Jira, CI/CD and API gateways.
10. How quickly the inventory becomes useful without requiring every team to manually document APIs.

Bottom line: If I had to start with one, I'd POC Salt first for discovery-led API security. I'd put Akamai API Security alongside it for the broadest enterprise lifecycle coverage, and Wallarm alongside it if inline prevention is a hard requirement. Independent 2026 comparisons similarly place Salt, Akamai/Noname, and Wallarm among the leading options, though the “best” choice depends heavily on whether discovery, lifecycle governance, or inline blocking is your priority.

One thing I'd avoid

Don't make API gateway inventory your authoritative API inventory. Gateways only know about what has been registered/configured there; the interesting security problem is often the stuff that isn't registered.

Likewise, a pure OpenAPI/CI scanner such as 42Crunch is useful for shift-left testing, but it doesn't solve the initial “what APIs do we actually have?” problem.

How I'd evaluate them

There is no single "silver bullet" tool because the best choice depends heavily on how you want to discover your APIs—whether through runtime traffic analysis, source code analysis , or cloud infrastructure inspection.

The top enterprise-grade platforms dominating API discovery and security posture management are categorized below by their primary discovery approach:

• Salt Security : Widely considered an industry leader in runtime API security. It uses big data and behavioral AI to analyze traffic across your entire enterprise environment, identifying shadow/forgotten APIs, building comprehensive inventories, and spotting subtle business logic attacks or data exfiltration in real time.
• Akamai API Security (formerly Noname Security) : Another heavyweight focused on continuous, traffic-based discovery. It excels at multi-cloud, hybrid, and complex legacy environments, offering deep posture management, remediation guidance, and runtime threat protection.
• StackHawk : Best if you want discovery "left" in the development lifecycle. Instead of just sniffing network traffic at runtime, StackHawk analyzes application source code and CI/CD pipelines to map out endpoints before they even hit production, making it ideal for developer-first workflows.
• Traceable.ai : Combines distributed tracing with AI/ML to track API traffic contextually from the user request down to the code level. It provides exceptional visibility into data flows, mapping out precisely what sensitive data is being exposed by which API endpoint.
• Wallarm : Excellent for real-time traffic inspection and API threat protection, offering robust auto-discovery capabilities paired with high-performance mitigation for modern cloud-native architectures and microservices.

How to Choose the Right One for You:

• Choose Salt Security or Akamai if your biggest blind spot is production/runtime environments and you need deep behavioral analysis of live traffic.
• Choose StackHawk if you want to catch and catalog APIs during build-time via code repositories and CI/CD integration.
• Choose Traceable if your primary concern is tracking sensitive data flow and payload contents across complex microservice architectures.

To help narrow down the ideal fit, tell me:

• Do you need to discover APIs primarily via live production traffic or source code/CI/CD pipelines?
• What does your hosting environment look like (AWS/Azure/GCP, on-premise, or hybrid)?

If your goal is “discover every API we have, including shadow/zombie APIs, then continuously secure them,” my first choice would be Salt Security.

Salt is particularly strong at continuous API discovery: it analyzes live traffic to find internal, external, third-party, undocumented, shadow, and deprecated APIs, then builds an inventory with things like authentication methods, parameters, sensitive-data exposure, and risk.

My shortlist

Independent 2026 comparisons put Akamai, Salt, and Traceable among the strongest full-lifecycle options, while Gartner describes the modern API-protection category as encompassing discovery, posture management, testing, and runtime protection.

I'd choose Salt if the primary problem is “we don't actually know all the APIs running in our environment.” Its discovery doesn't depend solely on API gateways or OpenAPI documentation, which is important for finding the APIs that security teams didn't know existed.

If you tell me your environment (e.g. AWS/Azure/GCP, Kubernetes, Kong/Apigee, microservices, SaaS, etc.) and whether you need runtime blocking vs. inventory/testing, I can narrow this to the best 2–3 options for your architecture.

There is no single "silver bullet" tool because the best choice depends on where you need visibility—whether you are looking at production runtime traffic, source code, or cloud infrastructure.

The top enterprise tools for discovering and securing APIs fall into three distinct categories based on your primary vantage point:

1. Dedicated Runtime & Behavioral API Security (Best for Production/Shadow APIs)

If your primary concern is finding unmanaged, "shadow," or "zombie" APIs that are live in production—and protecting them against business-logic abuse (like BOLA/BFLA)—dedicated runtime platforms are the industry standard.

• • Salt Security : Widely regarded as a leader for AI/ML-driven behavioral analysis. It excels at continuous discovery via traffic mirroring/connectors and detecting anomalous user behavior or data exfiltration attempts against production APIs.
• • Akamai API Security (incorporating Noname Security tech): Strong at holistic, enterprise-wide discovery across complex hybrid, multi-cloud, and SaaS environments. It provides deep visibility from code to runtime.
• • Traceable AI : Leverages distributed tracing to map API calls directly to user context and sensitive data flows, making it powerful for microservice-heavy environments.

2. Unified WAAP & Cloud-Native Platforms (Best for Inline Protection)

If you need discovery coupled tightly with real-time inline blocking and Web Application and API Protection (WAAP).

• • Wallarm : Blends continuous API discovery with robust edge/cloud-native protection supporting REST, GraphQL, gRPC, and WebSockets.
• • Cequence Security : Exceptionally strong if your API risk includes automated bot attacks, scraping, and credential stuffing.

3. Shift-Left & Contract-First Testing (Best for Pre-Production/CI/CD)

If you want to discover and secure APIs before they hit production by auditing codebases and OpenAPI/Swagger specifications.

• • 42Crunch : Focuses strictly on API contract security, auditing OpenAPI definitions, and enforcing strict governance inside the CI/CD pipeline.
• • StackHawk : Developer-first DAST that analyzes code and tests running endpoints directly in developer pipelines.

Community Perspectives

Real-world feedback from security practitioners highlights how these tools behave in practice:

To help narrow down the best fit for your team, tell me:

• Do you need to catch unmanaged shadow APIs in production , or shift-left into CI/CD codebases?
• Are you primarily running REST, GraphQL, or gRPC workloads?

If your goal is “discover every API we have and then continuously secure it,” my first evaluation would be Salt Security.

My shortlist

Why I'd put Salt first

The important distinction is API inventory vs. API security. An API gateway or WAF can tell you about the APIs it knows about; the harder problem is finding the ones nobody documented or registered.

Salt specifically claims continuous discovery across internal, external, and third-party APIs, including APIs absent from gateways and OpenAPI documentation, and identifies shadow/zombie APIs. salt.security It then connects that inventory to posture management and runtime behavioral protection.

Akamai is probably the strongest alternative if you want a broader enterprise platform spanning discovery from traffic/code/specs, pre-production testing, governance, and runtime detection.

If I were running an evaluation, I'd put Salt and Akamai API Security head-to-head, with Traceable and 42Crunch as additional finalists depending on your architecture.

The most important POC question isn't “how many APIs can you discover?” It's:

“Show us every API you can find that isn't in our API gateway or OpenAPI inventory, tell us who owns it, what sensitive data it handles, whether authentication is actually enforced, and demonstrate detection/blocking of a BOLA attack.”

That's where the meaningful differences between these products tend to emerge.

If you mean enterprise-wide discovery + continuous security, my top pick today would be Salt Security, with Traceable as the strongest alternative.

My shortlist

Why I'd start with Salt: the hard problem isn't merely scanning documented APIs. You want to uncover the APIs your CMDB, gateway, Swagger files, and engineering teams don't know about. Salt specifically emphasizes continuous discovery of shadow/zombie APIs and can aggregate inventory across cloud, on-prem, gateways, WAF data, and traffic.

For a serious evaluation, I'd run a 2–4 week bake-off between Salt and Traceable and measure:

1. % of actual APIs discovered vs. your known inventory
2. Shadow/zombie API detection
3. Authentication/authorization weaknesses, especially BOLA
4. Sensitive-data exposure
5. API ownership and business context
6. Runtime detection/blocking of abnormal behavior
7. Coverage of internal east-west traffic, not just internet-facing APIs
8. Deployment overhead and false-positive rate

One important distinction: API gateway + WAF ≠ API security platform. Gateways control APIs you already know about; the discovery layer should tell you what actually exists and continuously identify changes and previously unknown attack surface.

If you tell me your environment (e.g. AWS/Azure/GCP, Kubernetes, Kong/Apigee/AWS API Gateway, microservices, on-prem) and approximate API count, I can narrow this to the best 2–3 options and give you an evaluation architecture.

There is no single "best" tool for every organization because API environments differ widely across cloud architectures, legacy systems, and development lifecycles. Instead, the market is led by a few purpose-built platforms that specialize in deep, continuous discovery (including shadow and zombie APIs) and runtime security posture management.

The top-rated platforms in this space categorize by their core strengths:

• Akamai API Security (formerly Noname Security) : Widely recognized as a market leader for broad enterprise discovery. It excels at uncovering shadow, orphan, and unmanaged APIs across complex hybrid, multi-cloud, and SaaS environments, mapping out complete endpoint inventories and behavior.
• Salt Security API Protection Platform : Best-in-class for behavior-based analytics, deep runtime protection, and stopping complex business logic attacks like Broken Object Level Authorization (BOLA/IDOR). It provides advanced AI-driven discovery that analyzes traffic flows to construct a real-time API inventory and governance posture.
• Wallarm API Security : Strong choice if you are looking to "shift-left" while retaining robust edge protection. It bridges the gap between API spec testing in CI/CD pipelines and active threat prevention (WAAP) in production cloud environments.
• Imperva API Security : Ideal for highly regulated enterprises. It integrates seamlessly with established Web Application Firewalls (WAF) and data security stacks to automatically classify sensitive data moving through public, private, and shadow APIs.
• Native Cloud/Gateway Tools (e.g., Microsoft Defender for APIs, AWS/Apigee) : If your estate is strictly native to a single cloud provider or a centralized API gateway, tools like Microsoft Defender for APIs offer zero-friction native traffic mirroring, configuration checks, and threat discovery without deploying external out-of-band sensors.

To help narrow down the ideal platform for your team, could you share:

• Where most of your APIs live (AWS/Azure/GCP, Kubernetes, on-prem, or a mix)?
• Whether you need shift-left code/spec testing or purely runtime and shadow API discovery?

If you mean one platform to continuously discover your API estate and secure it, my top pick is Akamai API Security (formerly Noname) for a large/complex enterprise environment. It focuses specifically on continuous API discovery, including shadow/zombie APIs, vulnerability assessment, behavioral monitoring, and runtime protection across SaaS, hybrid, and on-prem environments. www.akamai.com citeturn0search2

My shortlist

What I would not do: rely on your API gateway, OpenAPI specs, or a conventional vulnerability scanner as the API inventory. The OWASP API Security Top 10 explicitly includes improper inventory management as a major risk, and shadow/internal APIs are precisely what those approaches can miss.

If I were evaluating vendors, I'd make these capabilities non-negotiable:

1. Passive discovery from actual traffic.
2. Code/cloud/gateway discovery to catch APIs that aren't receiving traffic.
3. Shadow, zombie, undocumented, and third-party API identification.
4. Sensitive-data classification.
5. Continuous behavioral anomaly detection.
6. Automated testing against OWASP API risks.
7. Authentication/authorization and BOLA testing.
8. Ownership and risk attribution.
9. CI/CD integration so new APIs get security checks before production.
10. Runtime blocking/integration with WAF, SIEM, and SOAR.

If you tell me your environment (AWS/Azure/GCP, Kubernetes, API gateways, approximate API count, and whether you're mostly REST/GraphQL), I can narrow this to the best 2–3 choices and explain exactly how I'd deploy them.

There is no single "best" tool because the right choice depends on whether your priority is continuous passive traffic discovery (finding shadow/zombie APIs), edge enforcement and rate limiting , or shift-left contract testing in CI/CD.

The market leaders are categorized below by their core strengths:

1. Dedicated Enterprise API Discovery & Runtime Protection (Best for Shadow/Zombie APIs)

If your biggest fear is unmanaged, undocumented, or forgotten APIs floating around your cloud and hybrid environments, dedicated behavioral platforms are the gold standard.

• Salt Security: Widely recognized as a leader in behavioral analysis. It excels at deep, context-rich API discovery and is exceptionally strong at spotting subtle business logic attacks like BOLA (Broken Object Level Authorization) and auth-bypass.
• Akamai API Security (formerly Noname Security): Offers some of the broadest and most comprehensive automated discovery across multi-cloud, on-prem, and legacy infrastructure. It provides deep visibility into data leakage and compliance postures.
• Traceable AI: Focuses on distributed tracing and application-layer context, mapping out data flows and user behavior to catch complex runtime abuse.

2. Unified WAAP & Runtime Platforms (Best for Discovery + Inline Blocking)

If you need a tool that doesn't just discover APIs in logs, but actively blocks volumetric attacks, bot traffic, and injection flaws inline.

• Wallarm: Combines automated API discovery and topology mapping from live traffic with robust runtime threat prevention and mitigation.
• Imperva Application Security Platform: A perimeter-first powerhouse that blends traditional WAF, DDoS mitigation, and advanced API protection with strong regulatory compliance backing (PCI/HIPAA).

3. Developer-Centric & Spec-Driven Tools (Best for Shift-Left)

If you want to catch misconfigurations and insecure designs before code ever hits production:

• 42Crunch: The premier choice for OpenAPI contract validation. It audits your specs in the CI/CD pipeline and enforces strict micro-API security policies early in development.
• StackHawk: Tailored specifically for engineering and DevOps teams to run DAST (Dynamic Application Security Testing) directly against REST, GraphQL, and gRPC APIs during builds.

4. Edge-Native API Management & Security

• Zuplo: An edge-native gateway option that wraps security (rate limiting, JWT validation, schema validation, and bot detection) directly into global edge routing without requiring a massive standalone security overlay.

To help narrow down the ideal tool for your stack, tell me:

• Do you need out-of-band traffic monitoring (passive discovery) or inline blocking/enforcement at an API gateway?
• Are you primarily worried about internal shadow microservices or external public-facing endpoints?