Enterprise API security and discovery platform

If your biggest problem is “we have no visibility into our API traffic,” I would start by evaluating a dedicated enterprise API security platform that combines continuous API discovery, runtime traffic analysis, shadow API detection, sensitive-data visibility, and threat detection.

A traditional WAF, API gateway, or API management platform isn't necessarily enough. You need to discover APIs that aren't registered in your gateway, understand how APIs are actually used in production, and identify risky behavior—not just protect endpoints you already know about.www.ciopages.com+2

My top 3 enterprise API security platforms

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1. Salt Security

(My first shortlist candidate)

Best for: Runtime API visibility and behavior-based threat detection.

Salt is a strong starting point if you want to discover unknown APIs, establish behavioral baselines, identify API abuse, and understand threats across an existing enterprise environment. It emphasizes discovery and security analytics without requiring you to replace your current gateways and WAFs.www.ciopages.com+5

Website:salt.security

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2. Akamai API Security

Best for: Broad enterprise discovery and API governance.

Akamai discovers APIs across traffic, code, specifications, and connected infrastructure, including shadow and zombie APIs. It's especially worth evaluating if you already use Akamai, but its API Security product also targets environments beyond Akamai's own edge.www.akamai.com+1

Website:akamai.com/products/api-security

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3. Traceable

Best for: Detailed runtime visibility across distributed applications and microservices.

Traceable emphasizes discovering internal and external APIs, identifying sensitive data in traffic, mapping API relationships, and detecting suspicious behavior. Its distributed tracing and workload visibility options make it particularly interesting for cloud-native environments.docs.traceable.ai+2

Website:traceable.ai

These are my initial shortlist, not a definitive ranking. The best choice depends heavily on where your traffic flows and how much of it you can expose to the platform.

What I would insist on during a vendor evaluation

The key question isn't which vendor has the longest feature list. It's whether the platform can actually see your traffic.

These criteria reflect the core differences between API security platforms: how they discover APIs, collect runtime evidence, detect threats, and feed findings into remediation workflows.www.ciopages.com+2

My recommendation: Shortlist Salt Security and Akamai API Security first, then include Traceable if deep application and microservice context is important to your team. Ask each vendor to run a proof of value against representative production traffic, ideally with read-only or mirrored traffic initially. Measure how many previously unknown APIs they discover, how much traffic they actually observe, and how useful their alerts are.

One important caveat: no discovery platform can inventory traffic it never observes. Validate the collection architecture before comparing detection features.

One question to narrow this down

Where does most of your API traffic run today?

1. What's your infrastructure?

Primarily AWS / cloud-native

Primarily Azure or GCP

Primarily on-premises / data center

Hybrid: cloud, on-prem, and internal services

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2. What's the biggest gap?

We don't know which APIs exist

We can't see API traffic or usage patterns

We can't detect attacks or abuse of legitimate APIs

All three: discovery, visibility, and protection

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3. What sits in front of your APIs?

AWS API Gateway / ALB

Apigee

Azure API Management

Kong

Multiple gateways, load balancers, or direct service traffic

Not sure / no centralized gateway

[Find the best fit]

When you have zero visibility into your API traffic, you are dealing with a classic "shadow API " and lack-of-telemetry problem. Traditional API gateways only show you what goes through them, leaving internal (east-west), legacy, and unmanaged (shadow) APIs completely blind to your security team.salt.security+1

The enterprise market for dedicated API security and discovery platforms is led by a few standout platforms, categorized by how they capture traffic and secure your environment:startwithidentity.com

1. Salt Security
   • Best for: Deep behavioral analytics, out-of-band discovery, and stopping complex business logic attacks (like BOLA/IDOR).
   • How it works: It uses an out-of-band architecture (processing traffic copies/metadata rather than inline proxying) to build a massive "API Security Graph" of your entire environment. It doesn't rely strictly on pre-defined gateway instrumentation, making it elite at unearthing shadow, zombie, and rogue internal APIs.
   • Key Advantage: Exceptional machine learning baseline capabilities that drastically reduce false positives and track multi-step attacker behaviors over time.salt.security+2
2. Akamai API Security (incorporating Noname Security)
   • Best for: Comprehensive data discovery and unified edge-to-core posture management.
   • How it works: Following Akamai's acquisition of Noname, this combined powerhouse offers robust discovery by sniffing traffic via log files, gateway integrations, and network taps, mapping out every data field and asset in your inventory.
   • Key Advantage: Excellent at sensitive data discovery (PII, PCI) transiting your APIs, backed by Akamai's massive global infrastructure and robust mitigation controls.rfp.wiki+2
3. Traceable AI (now integrated via Harness)
   • Best for: Distributed tracing-heavy architectures and modern cloud-native/microservices environments.
   • How it works: Relies heavily on distributed tracing and OpenTelemetry instrumentation to track data flows across microservices.
   • Key Advantage: Deep user-to-API attribution and strong alignment with modern application performance monitoring (APM), alongside strong coverage for GenAI/LLM-specific risks (like prompt injections) if your APIs tie into AI tooling.appsentinels.ai+242Crunch
   • Best for: "Shift-left" contract and specification validation (OpenAPI/Swagger compliance).
   • How it works: Focuses heavily on auditing API definitions and enforcing strict security conformance in CI/CD pipelines before code even hits production.
   • Key Advantage: Great for development governance, though less of a pure passive traffic discovery tool compared to Salt or Akamai.gartner.com+1

• Choose Salt Security if your primary nightmare is hidden shadow/internal APIs and you need an out-of-band platform that creates an immediate, passive inventory without re-architecting your network or breaking production traffic.salt.security+1
• Choose Akamai API Security (Noname) if you need heavy-duty data leakage prevention (PII tracking) and want a platform backed by a massive enterprise security ecosystem.rfp.wiki+1
• Choose Traceable AI if your engineering teams already live and breathe OpenTelemetry/distributed tracing and you want deep code-level tracing for your traffic.salt.security

To help narrow down the right fit, could you share:

• How your traffic is hosted (purely AWS/Azure/GCP, multi-cloud, on-prem, or hybrid)?
• What your primary environment looks like (heavy microservices, legacy monoliths, or a mix)?

If your team is struggling to understand what’s happening across your API traffic, I’d recommend evaluating a dedicated API discovery and security platform rather than relying solely on API gateway logs or a traditional web application firewall (WAF).

The key is to get a continuously updated inventory of your APIs, visibility into actual production traffic, and security analytics that help you distinguish normal usage from suspicious behavior. Platforms such as Traceable, Salt Security, and Akamai offer capabilities aimed at this problem.www.traceable.ai+2

My top enterprise recommendations

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1. Traceable

(My first evaluation)

Best fit if your biggest problem is understanding API traffic in depth, including request patterns, service dependencies, user activity, and security events.

• Continuously discovers documented and undocumented APIs.
• Provides traffic analytics, transaction tracing, and investigation tools.
• Detects suspicious behavior, sensitive-data exposure, and API attacks.
• Offers SaaS, cloud, and self-managed deployment options.www.traceable.ai+2

Explore:Traceable API Security

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2. Salt Security

Best fit if you need broad API discovery and behavioral threat detection across a complex enterprise environment.

• Finds internal, external, third-party, shadow, and legacy APIs.
• Analyzes API usage, parameters, authentication, and sensitive data exposure.
• Connects with existing gateways, cloud, and security operations tools.
• Also emphasizes discovering APIs used by AI agents and MCP servers.salt.security+2

Explore:Salt Security

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3. Akamai API Security

Best fit if you want API discovery, governance, and protection within a broader application security strategy, particularly if you already use Akamai.

• Discovers APIs across runtime traffic, code, documentation, gateways, and cloud.
• Analyzes abnormal behavior, API abuse, and sensitive-data exposure.
• Supports security testing and integrations with SIEM and remediation workflows.
• Offers a native integration for analyzing traffic managed by Akamai Cloud.www.akamai.com+2

Explore:Akamai API Security

How I'd choose

These are starting points for an evaluation, not a claim that one vendor wins every deployment. The right choice depends on where your traffic flows and what you need to see.

What to validate in a proof of concept

Before purchasing, ask each vendor to demonstrate these capabilities using your actual traffic:

• Coverage: Can it see internal east-west traffic as well as external north-south traffic, including APIs that bypass your gateway?
• Traffic analytics: Can you filter by endpoint, HTTP method, status code, caller, latency, request volume, and errors?
• Security context: Can it identify sensitive data exposure, broken authorization, suspicious request sequences, and API abuse?
• Deployment and privacy: What traffic data is collected, how is sensitive payload data handled, and can your data remain in your environment?
• Operational fit: Can it integrate with your SIEM, cloud infrastructure, gateways, and incident-response workflow?

One important distinction: API security platforms focus on discovering and securing APIs. If your primary problem is performance troubleshooting, latency analysis, and distributed tracing rather than security, an observability platform may be a better starting point—or a useful complement.

One question to narrow this down

When you say you're struggling to see what's happening with your API traffic, which is closest to your situation?

What do you most need to solve?

We don't know all the APIs we have or who is calling them.

We need to detect attacks, abuse, and unauthorized access.

We need to troubleshoot traffic volume, errors, latency, and usage patterns.

We need both traffic visibility and API security.

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Where does your API infrastructure run?

Primarily public cloud

Primarily on-premises or private cloud

Hybrid or multi-cloud

[Get a tailored recommendation]