AI Penetration Testing

AI Penetration TestingAutonomous agents that prove what's exploitable.

AI penetration testing replaces the once-a-year engagement with autonomous agents that pentest your whole stack continuously.
They chain exploits, validate with proof-of-concepts, and ship merge-ready fixes.

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What is AI penetration testing?

AI penetration testing uses autonomous AI agents to perform the work of a human pentester — enumerating an attack surface, chaining vulnerabilities, and exploiting them to prove real impact — but continuously and at machine speed. The distinction that matters: unlike a scanner that flags potential issues against a signature database, AI pentesting agents actually exploit findings and produce a working proof-of-concept, then validate the fix. Strix is an open-source autonomous pentester whose agents run inside your own CI/CD across code, APIs, infrastructure, and cloud.

How AI agents run a pentest

Autonomous agents follow the same phases a skilled human pentester would — planning, discovery, attack, and reporting — without a person driving each step.

1. Enumerate

Agents map the full attack surface across code, APIs, web apps, infrastructure, and cloud — the way an attacker would.

2. Chain & exploit

They combine weaknesses into real attack paths and exploit them, instead of listing isolated, unconnected findings.

3. Validate with PoCs

Every finding is reproduced and proven exploitable, so you act on confirmed risk — not on a queue of unverified alerts.

4. Fix & retest

A merge-ready PR ships with each finding, and agents retest to confirm the vulnerability is actually gone.

AI penetration testing vs legacy scanners

Why autonomous agents that exploit and validate beat signature-matching scanners that only flag potential issues.

Capability

Strix AI agents

Legacy scanners

Approach

Exploits and chains vulnerabilities

Matches signatures and patterns

Proof of exploitability

Working PoC per finding

Potential issue flagged

False positives

Low — validated before reporting

High — manual triage required

Remediation

Merge-ready fix PR

Finding description only

Coverage

Code, APIs, web apps, infrastructure, and cloud

Varies by scanner type

Runs in CI/CD and pull requests

yes

Open-source & self-hostable

yes

Bring your own LLM (including local models)

yes

Best for

Teams wanting continuously validated offensive testing

Teams wanting fast signatures and basic coverage

Approach

Strix AI agents

Exploits and chains vulnerabilities

Legacy scanners

Matches signatures and patterns

Proof of exploitability

Strix AI agents

Working PoC per finding

Legacy scanners

Potential issue flagged

False positives

Strix AI agents

Low — validated before reporting

Legacy scanners

High — manual triage required

Remediation

Strix AI agents

Merge-ready fix PR

Legacy scanners

Finding description only

Coverage

Strix AI agents

Code, APIs, web apps, infrastructure, and cloud

Legacy scanners

Varies by scanner type

Runs in CI/CD and pull requests

Strix AI agents

yes

Legacy scanners

Open-source & self-hostable

Strix AI agents

yes

Legacy scanners

Bring your own LLM (including local models)

Strix AI agents

yes

Legacy scanners

Best for

Strix AI agents

Teams wanting continuously validated offensive testing

Legacy scanners

Teams wanting fast signatures and basic coverage

From issue to fix in seconds

Find critical issues, auto-validate, and auto-fix with merge-ready PRs.

←Issues/STR-00847

SSRF via URL Parameter in /api/proxy

OpenHigh · 8.6CWE-918

TL;DR

The /api/proxy endpoint accepts a user-supplied URL without validation. An attacker can access internal services, read cloud metadata, and exfiltrate credentials.

Impact

Access to cloud metadata at 169.254.169.254, potential credential theft, and internal network scanning.

Location

acme/api · proxy-handler.ts:23

GET/api/proxy?url=

Severity

High

CVSS

8.6

Fix Effort

Low

Discovered

2h ago

Discover & Validate

Pentests your entire attack surface continuously. Reproduces each finding, confirms exploitability with proof, and prioritizes by real impact.

FixReproduction

How do I fix it?

Validate and restrict the target URL using an allowlist of permitted hostnames. Reject private/internal IP ranges and enforce HTTPS-only.

proxy-handler.ts:23-29Copy

23	23	const targetUrl = req.query.url;
24		const resp = await fetch(targetUrl);
	24	const parsed = new URL(targetUrl);
	25	if (!ALLOWED_HOSTS.has(parsed.hostname)) {
	26	throw new ForbiddenError("blocked");
	27	}
	28	const resp = await fetch(parsed.href);
25	29	return res.json(await resp.json());

✓Fix verified — vulnerability no longer exploitable

→PR #247 fix/ssrf-proxy-handler ready to merge

Auto-Fix

Generates a fix, retests to confirm the vulnerability is gone, and delivers a merge-ready PR. Review, merge, done.

Frequently asked questions

Common questions about AI penetration testing.

AI penetration testing uses autonomous AI agents to enumerate an attack surface, chain vulnerabilities, and exploit them to prove real impact — continuously and at machine speed. Unlike a scanner, the agents produce a working proof-of-concept for each finding and validate the fix.

Keep exploring

Penetration Testing as a Service

Continuous PTaaS with proofs, fixes, and ownership inside your perimeter.

Strix vs Pentera

Application-layer autonomy versus enterprise network validation.

Strix vs XBOW

Managed enterprise pentesting versus open-source autonomy.

Start testing in minutes

Autonomous pentesting for engineering teams — with reproducible proofs and merge-ready fixes.

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