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Free, Hands-On API Security Certification

Agentic AI DAST

API Security
Testing.

Wallarm API Security Testing is an agentic AI DAST scanner that finds business logic and API vulnerabilities before they reach production, running as a public Docker container in your CI/CD pipeline, with a reproducible proof-of-exploit on every finding and no false positive triage queue.

Every finding ships with a reproducible proof-of-exploit. No false positive triage queue.

Get A Demo

30 min · 50 endpoints

Public Docker container

Proof-of-exploit on every finding

ci-runner

$docker run --rm \

wallarm/security-testing \

scan --spec openapi.yaml \

--target staging.api.acme.com

✓ pulled image · 47 endpoints

✓ planned 18 attack chains

executing strategy: BOLA

Scan result · BOLA detected High

POST /v2/orders/{id}/charge

Exploitation chain

1 Auth as user_a · get session token 200

2 GET /v2/orders → enumerate IDs 200

3 Swap to user_b's order_id —

4 POST /v2/orders/204/charge → charged user_b Exploit

Trusted By

The world's most demanding teams run on Wallarm.

Learn More About Wallarm's Customers

The Problem

Your DAST scanner
can't read your code.

Your developers ship daily. Your DAST tool runs quarterly, surfaces noise, and misses BOLA. Your pentest happens twice a year. The gap is the part attackers reach first.

What you have

What it catches

What it Misses

SAST

Code patterns

X Runtime exploits

Traditional DAST

Known signatures

X Business-logic flaws (BOLA, BFLA)

Manual pentest

Whatever the tester thinks of

X Whatever changed since last quarter

The DAST Gap

53%

of lost API Security deals in 2025 cited DAST as the gap.¹ Gartner now treats DAST as mandatory for API Security.²

Source: 1. Wallarm sales analysis, 2025; 2. Gartner API Security guidance

The Solution

DAST that thinks
like a pentester.

Wallarm Security Testing is an LLM-driven DAST scanner that runs in your CI/CD as a Docker container. It plans multi-step attacks, executes them against your staging environment, validates each finding with a reproducible proof-of-exploit, and ships the evidence to your AppSec queue. No false positives. No noise.

Business-Logic

Find business-logic flaws

BOLA, BFLA, broken auth, and other multi-step attacks that signature-based scanners can't reach. The agent builds the chain a pentester would.

Proof

Validated proof-of-exploit

Every finding ships with the exploitation chain, the principals used, and the evidence collected. No false positives to triage. Reproducible by anyone.

CI/CD

CI/CD-native

Public Docker container. Drop into any pipeline, trigger per release or by cron, run against staging. No platform integration, no agent install, no maintenance window.

Prompts

Configure with prompts

Enable, disable, modify, or add scanning strategies through prompts. No engineering work to extend coverage to a new vulnerability class.

Threat-Informed

Informed by production attacks

Scanning context is sharpened by Wallarm's API Security telemetry, real attacks observed across the platform. Tests look like the threats your users will actually face.

Throughput

30 minutes per scan

A 50-endpoint scan completes in 30 minutes. CI/CD-friendly throughput. Scales to thousands of endpoints with parallel runs.

Technical Brief

Why traditional DAST
missesbusiness-logic flaws.

A technical brief on agentic vs signature-based DAST, the BOLA detection problem, and how Wallarm Security Testing's architecture closes the gap.

Read The Brief

FAQ

Frequently asked questions

How is Wallarm Security Testing different from traditional DAST scanners?

Traditional DAST tools fuzz endpoints with known attack patterns and report what hits. They don't reason about application logic, so they can't find BOLA, BFLA, or any multi-step business-logic flaw. Wallarm Security Testing uses an LLM agent to plan, execute, and validate attack chains the way a human pentester would. It finds the vulnerabilities the signature-based scanners can't reach.

How is Wallarm Security Testing different from SAST?

SAST analyzes source code statically. It catches insecure patterns in the code but misses anything that only manifests at runtime: business-logic flaws, broken auth, and how endpoints interact in production. Wallarm Security Testing runs against the actual application in staging and finds what actually exploits, not what statically looks risky.

What does Wallarm Security Testing cost?

Pricing scales with scan volume. Small teams scanning weekly start at $3,000 per year. Large teams scanning thousands of endpoints daily are at the high end of the published tier table. LLM token cost is roughly $5 per 50-endpoint scan, included in the price. Bring-your-own-LLM is available for large customers.

Can I bring my own LLM?

Yes, for large customers. If your security or compliance posture requires the testing prompts and target data to stay within your tenant of OpenAI, Anthropic, or Bedrock, Wallarm Security Testing supports that configuration. Contact sales for sizing.

How do I integrate Wallarm Security Testing with my CI/CD pipeline?

Pull the public Docker container, point it at your staging environment, supply an OpenAPI spec or Postman collection, and trigger per release or by cron. Standard exit codes for pipeline integration. No platform install, no agent on the target.

What types of vulnerabilities does Wallarm Security Testing find?

OWASP API Top 10 (BOLA, BFLA, broken auth, excessive data exposure, mass assignment, security misconfiguration, etc.), classic injection attacks, and multi-step business-logic flaws specific to your application. Coverage extends through prompt-defined strategies. Add a new vulnerability class without engineering work.

See Wallarm Security Testing
run on your APIs.

30-minute walkthrough on a live scan. Bring an OpenAPI spec, leave with a vulnerability report.