The problem is, we have no visibility into our API traffic. What is the best enterprise API security and discovery platform?

When visibility into API traffic is zero, you are dealing with shadow APIs (undocumented or forgotten endpoints) and zombie APIs (outdated versions left running), which are prime targets for data exfiltration and business logic abuse (like BOLA/IDOR).

The enterprise API security and discovery market is led by a few powerhouse platforms. The "best" choice depends on whether your priority is deep behavioral threat analysis, broad multi-cloud/hybrid discovery, or a native extension of your existing web application firewall (WAAP) infrastructure.

Top Enterprise API Security & Discovery Platforms

- **Why it shines:** Widely regarded as a pioneer and market leader in dedicated AI-driven API security. Salt uses a massive big-data engine to baseline normal user and app behavior over long periods, making it exceptionally good at catching complex business logic attacks, enumeration, and subtle BOLA (Broken Object Level Authorization) attacks that traditional gateways miss.
- **Best for:** Enterprises needing deep forensic timelines, rigorous behavioral baselining, and automated attacker tracking.
- **Explore further:** Review details on the Salt Security Platform.[](https://appsentinels.ai/blog/the-15-best-api-security-tools-in-2026-ranked-by-what-they-do/) [[1]](https://appsentinels.ai/blog/the-15-best-api-security-tools-in-2026-ranked-by-what-they-do/)[[2]](https://appsecsanta.com/api-security-tools)

- **Why it shines:** Following Akamai’s acquisition of Noname, this combined powerhouse offers arguably the most exhaustive asset and shadow API discovery engine on the market. It analyzes out-of-band traffic, logs, gateways, and code repositories to build a real-time inventory and data-flow map (including tracking which APIs expose sensitive PII data).
- **Best for:** Large, complex hybrid-cloud architectures where you simply need to find *everything* that exists across multi-cloud, SaaS, and on-prem estates.
- **Explore further:** Check out capabilities via Akamai API Security.[](https://www.gartner.com/reviews/market/api-protection) [[1]](https://www.gartner.com/reviews/market/api-protection)[[2]](https://appsecsanta.com/api-security-tools)[[3]](https://www.gartner.com/reviews/market/api-protection)[[4]](https://www.prophaze.com/api-security-solution-providers-in-us/)

- **Why it shines:** Wallarm provides an all-in-one approach combining continuous API discovery, robust automated testing (shift-left), and strong inline runtime protection. It handles modern protocols seamlessly and integrates smoothly into DevOps pipelines.
- **Best for:** Teams looking for a hybrid solution that covers both developer-centric API testing and production runtime defense without deploying separate point tools.
- **Explore further:** Read up on features at Wallarm.[[1]](https://appsecsanta.com/api-security-tools)

- **Why it shines:** Automatically discovers and maps APIs using traffic inspection, external crawling, and repository scanning. Because it ties directly into F5’s broader distributed cloud and L7 networking fabric, it excels at applying instant inline enforcement (rate-limiting, schema validation, and behavioral anomaly blocking).
- **Best for:** Enterprises already leveraging F5 infrastructure or those needing heavy-duty edge/multi-cloud traffic orchestration and security.
- **Explore further:** Learn more at [F5 Distributed Cloud Services](https://www.f5.com/cloud).[[1]](https://www.gartner.com/reviews/market/api-protection)

How to Choose Your Next Step

• Choose Salt Security if your biggest fear is sophisticated, multi-step business logic and authorization attacks that require deep AI behavioral tracking.
• Choose Akamai API Security if your immediate crisis is pure asset blindness—you have massive shadow IT and need a guaranteed complete inventory of every active endpoint.
• Choose Wallarm or F5 if you want discovery tightly coupled with robust, real-time edge mitigation and inline traffic blocking.

To help narrow down which platform fits your environment best, tell me:

• Are your APIs primarily hosted in AWS/Azure/GCP, on-premises , or a hybrid mix?
• Do you already use an enterprise API Gateway (like Apigee, Kong, Mulesoft) or a WAF/WAAP vendor that you'd prefer to integrate with?

If your core problem is “we don’t know what APIs we actually have or what’s happening on them,” I’d shortlist Salt Security, Akamai API Security, and Traceable. I would not start with a traditional API gateway or WAF—they can protect traffic they see, but API security platforms are designed to discover the APIs you didn’t know about and understand their behavior.

My recommendation: Salt Security

salt.security would be my first evaluation if API visibility and runtime discovery are the primary requirements.

• Continuous API discovery: Salt analyzes real-time traffic to discover internal, external, third-party, shadow, deprecated, and undocumented APIs.
• Traffic-level visibility: You get endpoint details, parameters, authentication methods, usage patterns, sensitive-data exposure, and risk context—not merely an inventory of OpenAPI specifications.
• Runtime security: It goes beyond cataloging APIs into behavioral detection and protection against API-specific attacks.
• Good fit for an enterprise with an existing heterogeneous stack: API gateways, cloud providers, microservices, and legacy APIs don't have to be consolidated first.

The three I'd put in an enterprise bake-off

akamai.com now discovers APIs across traffic, code, specifications, gateways, cloud infrastructure, and external exposure points, while also providing posture management, testing, and runtime behavioral analysis.

traceable.ai is particularly interesting if you want to correlate API activity with application/service context. It continuously discovers internal, external, partner, shadow, and third-party APIs and can use network traffic and eBPF-based workload information for discovery.

What I'd actually test in a POC

Don't let vendors win the evaluation by showing you a pretty API catalog. Give each platform production traffic and measure:

1. Discovery coverage — What percentage of your real endpoints does it find?
2. Shadow/zombie detection — Can it find APIs absent from your gateway/OpenAPI inventory?
3. Traffic visibility — Can you see callers, identities, endpoints, parameters, responses, volume, and data sensitivity?
4. Data-flow mapping — Can you answer “Which APIs expose sensitive data, and who is consuming it?”
5. Behavioral detection — Can it distinguish normal API behavior from BOLA/BFLA, scraping, abuse, and anomalous usage?
6. Ownership — Can it map an API to the application, service, team, repository, and owner?
7. Coverage outside the gateway — This is critical. If traffic bypasses your API gateway, does the product still see it?
8. Time to value — How much configuration is required before you get a meaningful inventory?

That #7 is especially important given your problem. A platform that only tells you what your gateway already knows isn't solving the visibility problem.

Bottom line: I'd start with Salt, then run a serious bake-off against Akamai API Security and Traceable. If you tell me your environment—e.g. AWS/Azure/GCP, Kong/Apigee/MuleSoft/Akamai, Kubernetes, number of APIs, and whether you need inline blocking or just out-of-band visibility—I can narrow this to a specific recommendation and give you a vendor-by-vendor enterprise comparison, including architecture, deployment model, and likely pricing structure.

If your core problem is “we have no visibility into our API traffic,” I’d put Salt Security at the top of the enterprise shortlist.

My recommendation: Salt Security

Salt is particularly strong when the starting problem is API discovery + runtime visibility, rather than simply API gateway protection. It continuously analyzes API traffic and builds an inventory of internal, external, third-party, shadow, and zombie APIs, including APIs that aren't documented in OpenAPI or registered with a gateway.

It also enriches that inventory with things you'd actually want for security operations: authentication methods, traffic behavior, sensitive-data exposure, risk, and ownership/context.

And importantly, it isn't just an inventory product: Salt uses behavioral analysis of API traffic to detect things such as BOLA, business-logic abuse, account takeover, data exfiltration, and low-and-slow attacks.

The other enterprise contender: Akamai API Security

I'd put Akamai Technologies / Akamai API Security alongside Salt in a serious POC.

Akamai's current platform has particularly broad discovery: traffic, source code, API specifications, gateways, cloud infrastructure, and external exposure points. It also covers shadow/zombie APIs, runtime behavioral analysis, posture management, and pre-production API testing.

This becomes especially attractive if you're already heavily invested in Akamai's edge/WAAP ecosystem, because API Security can complement Akamai's inline protection rather than replacing it.

How I'd shortlist them

The market comparisons currently put Salt and Akamai among the leaders, with the distinction that Salt is particularly discovery/runtime-focused while Akamai combines discovery with its broader edge-security portfolio.

One important qualification

Don't buy based on a vendor's “API inventory” demo. For your situation, I'd make the POC prove that it can answer:

1. What APIs are actually receiving traffic?
2. Which ones aren't in our gateway/OpenAPI inventory?
3. Who is calling each API, and how?
4. What sensitive data is each endpoint returning?
5. Which APIs are internet-facing vs. internal?
6. Which APIs are stale, zombie, or abandoned?
7. Can we see API behavior over time, not just individual requests?
8. Can it detect BOLA/business-logic abuse using legitimate credentials?
9. Can we correlate an API to an application, owner, repository, and environment?
10. How much of our production traffic can we analyze without putting the security product inline?

Given your specific statement that you currently have no visibility into API traffic, I'd weight #1–#7 more heavily than generic OWASP scanning or API gateway features.

Bottom line: start with Salt and Akamai in the POC, with Salt as my first call. If you tell me roughly how many APIs you have, whether you're AWS/Azure/GCP/on-prem, what API gateways/WAFs you use, and whether you need blocking or primarily visibility, I can narrow this to a much more definitive recommendation.

The other enterprise contender: Akamai API Security

I'd put Akamai Technologies / Akamai API Security alongside Salt in a serious POC.

Akamai's current platform has particularly broad discovery: traffic, source code, API specifications, gateways, cloud infrastructure, and external exposure points. It also covers shadow/zombie APIs, runtime behavioral analysis, posture management, and pre-production API testing.

This becomes especially attractive if you're already heavily invested in Akamai's edge/WAAP ecosystem, because API Security can complement Akamai's inline protection rather than replacing it.

How I'd shortlist them

The market comparisons currently put Salt and Akamai among the leaders, with the distinction that Salt is particularly discovery/runtime-focused while Akamai combines discovery with its broader edge-security portfolio.

When visibility hits zero, traditional WAFs and network firewalls usually fall short because they don't understand API context, data payloads, or dynamic state.

The "best" enterprise platform depends on where your blind spots hurt the most, but the market is anchored by a few standout leaders purpose-built for deep API discovery, shadow-endpoint mapping, and runtime posture management.

Top Enterprise API Security & Discovery Platforms

• Akamai API Security (formerly Noname Security) — Best for comprehensive, end-to-end enterprise discovery. Since Akamai acquired Noname, it has remained an industry heavyweight for mapping shadow, zombie, and undocumented APIs across massive hybrid, multi-cloud, and on-prem architectures. It excels at continuous out-of-band traffic analysis and deep data-classification.
• Salt Security — Best for behavioral analytics and stopping complex business logic attacks (like BOLA/IDOR). Salt pioneered the API-native security category and uses heavy machine learning to build continuous user behavior baselines, making it elite at catching attackers who look authenticated and legitimate to basic gateway logs.
• Wallarm — Best for unified API discovery and WAAP (Web Application and API Protection) integration. Wallarm handles high-frequency modern protocols (REST, GraphQL, gRPC, WebSockets) gracefully and bridges the gap between shift-left API testing and active runtime defense.
• Cequence Security — Best if your traffic visibility issues are heavily tied to automated abuse, credential stuffing, scraping, and bot-driven API fraud. Cequence started rooted in advanced bot mitigation before expanding into a full lifecycle API discovery and protection posture.
• 42Crunch — Best for "shift-left" API contract governance. If you want to stop blind spots before code even reaches production, 42Crunch audits and enforces OpenAPI/Swagger specifications right inside the CI/CD pipeline.

How to choose your direction

• If you don't even know what APIs exist in your environment (shadow/orphan APIs), start with Akamai (Noname).
• If you are getting hit with stealthy data exfiltration and account takeovers that bypass basic rules, look closely at Salt Security.

To help narrow down the right fit, tell me:

• Where does most of your traffic live? (e.g., AWS/Azure, Kubernetes, traditional API gateways like Apigee/Kong)
• Are you primarily trying to find what's hidden (discovery), or are you actively bleeding data / seeing attacks (runtime protection)?

If your biggest problem is “we have no visibility into our API traffic,” you should prioritize an API discovery + runtime API security platform, not just a WAF or API gateway add-on. The right platform should answer:

• What APIs exist (including shadow, zombie, and undocumented APIs)?
• Who is calling them?
• What data is being exposed?
• Which APIs are risky or drifting from their intended behavior?
• Are attackers abusing valid credentials or business logic?
• Can we detect BOLA/API authorization issues and anomalous usage?

For a large enterprise, these are the platforms I would shortlist:

My recommendation by scenario

If you have zero API inventory today

Start with:

1. Akamai API Security if you are already an Akamai customer.
2. Salt Security if you want a vendor-neutral API security layer focused on runtime discovery and attack detection.

These are the two I would put through a proof-of-concept first.

If your APIs are mostly microservices inside Kubernetes

Look closely at:

• Salt
• Traceable/Harness
• 42Crunch (as a complementary developer control)

You need east-west visibility, not only north-south internet traffic.

If your biggest concern is customer-facing API abuse

Consider:

• Cequence
• Akamai
• Salt

Especially for scraping, account takeover attempts, credential stuffing, and automated abuse.

What I would test in a POC

Do not let vendors win based on dashboards. Give them a real traffic mirror and measure:

1. Discovery accuracy

• How many APIs did it find?
• How many undocumented endpoints?
• Does it identify owners?

2. Business-context understanding

• Can it distinguish normal users from suspicious behavior?
• Can it detect abnormal sequences (for example, harvesting IDs)?

3. Sensitive data visibility

• Does it identify PII, credentials, tokens, regulated data?

4. Integration effort

• Traffic mirroring?
• API gateway integration?
• Kubernetes/service mesh support?
• SIEM/SOAR integration?

5. Operational noise

• How many alerts require human review?
• Can developers understand remediation guidance?

A common enterprise architecture is API discovery/runtime security + API gateway/WAF + CI/CD API testing, because no single layer usually covers inventory, business-logic abuse, and developer lifecycle controls equally well.

If you tell me your environment (AWS/Azure/GCP, Kubernetes or not, API gateway—Kong/Apigee/MuleSoft/AWS API Gateway/etc., and approximate API count), I can narrow this to a top 2–3 recommendation.

When visibility into API traffic is the core issue, you are dealing with a classic shadow and zombie API problem . Traditional API gateways only see what was explicitly registered, leaving a massive blind spot across microservices, legacy endpoints, and developer changes.

The enterprise API security and discovery market broadly splits into dedicated behavioral leaders, consolidated WAAP (Web Application and API Protection) vendors , and shift-left testing platforms.

The top enterprise choices depend on how you ingest traffic and your specific visibility goals:

1. Salt Security API Protection Platform — Best for deep behavioral analytics and anomaly detection. Salt is widely recognized as a pioneer and market leader in dedicated API security . It uses a patented AI engine to establish deep behavioral baselines per endpoint . Rather than just looking for signature matches, it tracks slow-moving, multi-step attacks (like BOLA/IDOR) across extended user sessions . It is built for massive enterprise footprints, though it operates primarily as a SaaS model.
2. Akamai API Security (formerly Noname Security) — Best for comprehensive enterprise discovery and posture management. Following Akamai's acquisition of Noname, the combined powerhouse offers some of the broadest discovery engines in the industry . It ingests traffic from multiple sources—gateways, load balancers, and external reconnaissance—to map shadow and zombie APIs across hybrid and multi-cloud environments.
3. Wallarm API Security Platform — Best for cloud-native microservices and multi-protocol visibility. Wallarm excels at real-time traffic analysis and supports a wide variety of non-standard or modern protocols (REST, GraphQL, gRPC, SOAP, and WebSockets). It blends API discovery with shift-left testing and a robust WAAP runtime engine, keeping false positives remarkably low.
4. Traceable AI — Best for trace-based observability and distributed environments. By leveraging distributed tracing (OpenTelemetry and similar mechanisms), Traceable ties API security directly into code-level execution paths . If you need to trace an anomalous request all the way down to a specific microservice dependency or map complex business-logic abuse across a fragmented architecture, Traceable provides granular visibility.
5. Akto — Best for flexible, multi-vector discovery (Code to Runtime). Akto stands out by offering a wide array of discovery connectors—pulling data from code repositories, traffic logs, sidecars, and cloud connectors without forcing rigid architectural bottlenecks.

How to Choose

• If your priority is stopping complex business logic and BOLA attacks via heavy machine learning on production traffic, go with Salt Security.
• If you need an all-encompassing inventory across a chaotic, distributed multi-cloud sprawl, look at Akamai API Security.
• If your architecture is heavily containerized/microservices-heavy and relies on deep tracing or diverse protocols, evaluate Wallarm or Traceable AI.

To help narrow down which platform fits your environment best, tell me:

• Where does most of your traffic live (AWS/Azure/GCP, Kubernetes, or hybrid on-prem)?
• Do you primarily need passive out-of-band traffic sniffing or in-line blocking/enforcement?

When you have zero visibility into your API traffic, you are dealing with shadow (undocumented) and zombie (forgotten/unmaintained) APIs . Selecting the "best" enterprise API security and discovery platform depends heavily on whether your primary need is behavioral threat detection, edge traffic filtering, or code-level analysis.

The top enterprise-grade platforms dominating the market stand out for specific use cases:

• Salt Security API Protection Platform — Best for behavioral threat analysis and BOLA detection. Salt uses a patented AI/ML engine to build deep per-endpoint behavioral baselines. It excels at uncovering shadow APIs through traffic analysis and tracking slow, multi-step business logic attacks (like Broken Object Level Authorization) that traditional rule-based gateways miss.
• Akamai API Security (formerly Noname Security) — Best for comprehensive enterprise discovery across complex environments. Akamai delivers some of the broadest continuous API inventory and posture management capabilities in the industry. It identifies shadow and legacy endpoints across hybrid, multi-cloud, and SaaS infrastructures while leveraging massive edge infrastructure.
• Traceable AI — Best for microservices and distributed tracing. Traceable focuses on deep request-level observability. If your traffic visibility problem stems from massive, sprawling internal microservices architectures where you need to track data payloads and service-to-service dependencies, Traceable maps these relationships exceptionally well.
• Wallarm API Security — Best for unified WAAP and shift-left testing. Wallarm combines real-time API discovery with robust specification enforcement and runtime threat prevention, making it a strong fit for cloud-native engineering teams that want threat handling tightly coupled with CI/CD pipelines.
• StackHawk — Best for code-driven discovery. Unlike network-traffic sniffers, StackHawk analyzes your actual source code and runs dynamic tests directly in CI/CD pipelines, giving you a crystal-clear map of what APIs exist before they even hit a runtime environment.

To help narrow down which platform fits your environment, could you share:

• Where does most of your traffic live? (e.g., Kubernetes/Cloud-native, Multi-cloud/Hybrid , or traditional API Gateways)
• Are you looking primarily for passive traffic discovery or active runtime blocking?

If the core problem is “we have no visibility into our API traffic,” I’d shortlist Salt Security, Traceable, and Cequence rather than traditional API gateways. You want a platform that observes runtime traffic and builds a continuously updated inventory—not just a tool that inventories what your gateway or OpenAPI files already know about.

My pick: Salt Security

Salt Security is probably the strongest fit if API discovery and traffic visibility are the primary buying criteria.

Salt continuously analyzes API traffic to discover internal, external, third-party, shadow, and deprecated APIs, and exposes details such as parameters, authentication methods, data classifications, traffic patterns, and risk. Importantly, it says discovery doesn't depend solely on API documentation or gateway integrations.

The other two I'd evaluate

Traceable — arguably the best alternative if you want deep runtime observability + security analytics. It correlates API activity, users, data flows, and application context, and can discover APIs through traffic, gateways, cloud infrastructure, code, and eBPF. It also provides visibility into request volumes, API endpoints, data types, authentication, and security events.

Cequence — particularly compelling if you want API discovery + external attack-surface discovery + bot/fraud protection in one platform. Its approach combines outside-in crawling with runtime discovery, giving you both the attacker's view and the internal traffic view.

How I'd rank them for your specific problem

One important distinction: don't let a vendor win the evaluation merely by showing you a pretty API inventory. For your situation, I'd make the POC prove that it can answer:

1. What APIs are actually receiving traffic right now?
2. Which APIs aren't in our gateway/OpenAPI inventory?
3. Who is calling each API, from where, and how often?
4. What data is flowing through each endpoint?
5. Which APIs are internet-exposed?
6. Which endpoints have weak/missing authentication or authorization?
7. Which third-party APIs are our applications calling?
8. Can we see the actual request/response behavior and API-to-API relationships?
9. How quickly does a newly deployed API appear in the inventory?
10. Can the platform turn that visibility into enforcement/remediation?

If you have zero API traffic visibility today, I'd actually make “show me everything we've missed” the centerpiece of the POC. Run Salt, Traceable, and Cequence against the same production environment and compare their discovered inventories against what your API gateway says you have. That will tell you much more than feature matrices.

Bottom line: start with Salt. If Traceable gives you substantially better application/data-flow context in the POC, I'd choose Traceable; if bot, fraud, and external attack-surface protection are major requirements, I'd give Cequence serious consideration.

If your core problem is “we don’t actually know what API traffic we have”, I’d put Akamai API Security at the top of the enterprise shortlist, with Salt Security and Traceable as the two strongest alternatives.

My ranking for your use case

Why I'd start with Akamai

Akamai's current API Security platform is specifically designed to solve the visibility problem. It continuously discovers APIs across cloud, on-prem, hybrid, internal and external environments, including shadow and zombie APIs, and analyzes actual API traffic rather than relying solely on what your API gateway says exists. It also covers posture management, threat detection, active testing and response.

That's important because an API inventory from your gateway alone can give you a dangerously incomplete picture. Akamai explicitly supports monitoring east-west as well as north-south traffic, and its platform is vendor-neutral, so you don't have to route everything through Akamai's CDN.

A particularly interesting 2026 addition is code-to-runtime mapping: Akamai can connect an API observed in production traffic back to repositories, code files and owners. That turns “we found a suspicious API” into “this endpoint belongs to this service and this team.”

When I'd choose Salt instead

I'd put Salt Security extremely high if you want a dedicated API-security platform with particularly strong behavioral analytics. Its discovery engine continuously identifies internal, external and third-party APIs and provides details such as parameters, usage patterns, risk and sensitive-data exposure.

When I'd choose Traceable

Traceable is particularly compelling if you want to correlate API traffic with application behavior and data flows. It builds an inventory of public, private, internal, partner, shadow and zombie APIs and uses traffic, workload and eBPF-derived information to maintain that inventory.

The important distinction

I wouldn't frame the buying decision as “which API scanner is best?”

Your problem is more fundamental:

Can the platform reconstruct our actual API estate from production traffic, including APIs that nobody documented or registered?

Then evaluate:

1. Traffic visibility — Can it see north-south and east-west traffic?
2. Shadow/zombie discovery — Can it find APIs outside the gateway/catalog?
3. Identity context — Who/what is calling each API?
4. Data context — What sensitive data is being returned?
5. Behavioral analytics — What does normal usage look like?
6. Business-logic detection — Can it identify abuse using valid credentials?
7. Ownership — Can it map an API to an application/team?
8. Runtime enforcement — Can you actually block or contain an attack?
9. Testing — Can discovered APIs automatically become security tests?
10. Deployment coverage — SaaS, Kubernetes, VMs, serverless, on-prem, multiple clouds, etc.

The market is converging around exactly these capabilities; a current 2026 buyer's guide describes discovery of previously unknown APIs and runtime detection of issues such as BOLA and business-logic abuse as key differentiators.

Bottom line: If you're an enterprise starting from “we have essentially no visibility into API traffic,” I'd run a bake-off between Akamai API Security, Salt, and Traceable, and make real production discovery the first acceptance criterion—not the vendor's demo inventory.

If you tell me roughly your API gateway/WAF stack (AWS/Azure/Kong/Apigee/F5/Akamai/etc.), Kubernetes vs. VM footprint, and approximate API call volume, I can narrow this to a #1 recommendation and a concrete evaluation architecture.

When organizations lack visibility into their API traffic, they are usually dealing with shadow APIs (undocumented endpoints), zombie APIs (forgotten legacy versions), and unmonitored data flows across hybrid or multi-cloud environments.

There is no single "best" platform for every enterprise, as the right choice depends heavily on whether your priority is runtime monitoring, code-level shift-left discovery, or broad WAAP (Web Application and API Protection) integration.

Top enterprise platforms stand out across specific categories:

• Akamai API Security (formerly Noname Security) is widely recognized as a premier choice for broad enterprise discovery . It excels at uncovering shadow, zombie, and complex AI/MCP endpoints across SaaS, hybrid, and on-premises infrastructure by combining traffic analysis with external reconnaissance.
• Salt Security is a leading choice for deep runtime behavior and abuse protection . It is exceptionally strong at analyzing continuous production traffic, mapping data lineage, and utilizing machine learning to detect subtle BOLA (Broken Object Level Authorization) and business logic attacks that bypass standard gateway rules.
• Traceable AI is ideal for distributed tracing and data flow visibility . It tracks API traffic at the user-transaction level across microservices, mapping exact sensitive data (PII/PHI) movements and offering specialized monitoring for GenAI and LLM integrations.
• Wallarm serves as a robust option for unified shift-left and WAAP protection . It bridges the gap between active runtime defense, automated API discovery, and CI/CD security testing with minimal overhead.
• StackHawk is the standout choice if you prefer an inside-out, code-driven approach . Rather than just passively watching traffic at the network edge, it scans source code repositories (GitHub, GitLab) to discover endpoints and test APIs directly within developer pipelines.

To help narrow down which platform fits your environment, could you share:

• Where most of your APIs live (AWS/Azure/GCP, on-premise, or a hybrid mix)?
• Do you need a solution that focuses primarily on production monitoring (protect-right) or codebase scanning (shift-left)?