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.
Trusted by security teams at
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 | ✓ | — |
| Open-source & self-hostable | ✓ | — |
| Bring your own LLM (including local models) | ✓ | — |
| Best for | Proving and fixing real risk continuously | Broad cataloging of known issues |
From issue to fix in seconds
Find critical issues, auto-validate, and auto-fix with merge-ready PRs.
SSRF via URL Parameter in /api/proxy
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:23Severity
CVSS
8.6Fix Effort
LowDiscovered
2h agoDiscover & Validate
Pentests your entire attack surface continuously. Reproduces each finding, confirms exploitability with proof, and prioritizes by real impact.
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.
| 23 | 23 | const targetUrl = req.query.url; |
| 24 | const resp = await fetch(targetUrl); | |
| const parsed = new URL(targetUrl); | ||
| if (!ALLOWED_HOSTS.has(parsed.hostname)) | ||
| throw new ForbiddenError("blocked"); | ||
| const resp = await fetch(parsed.href); | ||
| 25 | 29 | return res.json(await resp.json()); |
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 and autonomous penetration testing.
What is 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.
Is AI penetration testing safe to run?
Yes. Strix runs each agent in an isolated sandbox you control, with defined rules of engagement and blast radius. Because it is open-source, it can run self-hosted or fully air-gapped inside your own infrastructure with a local LLM, so sensitive data never leaves your network.
Does AI pentesting replace human pentesters?
AI pentesting replaces the repetitive, continuous work — testing every deploy across the whole stack — and frees human experts for deep, creative testing and compliance attestation. Many teams use autonomous agents for continuous coverage and humans for periodic signed engagements.
How accurate is AI penetration testing?
Because the agents exploit and validate each finding with a proof-of-concept before reporting it, confirmed findings carry very low false-positive rates compared with signature-based scanners that flag potential issues for manual triage.
What can Strix's AI agents test?
Strix's autonomous agents test code, APIs, web applications, infrastructure, and cloud — continuously and on every pull request, with findings delivered as merge-ready fix PRs.
Is autonomous pentesting the same as AI penetration testing?
Yes. The terms are used interchangeably; "autonomous pentesting" emphasizes that AI agents run the engagement end to end — enumerate, exploit, validate, and fix — without a human driving each step.
Keep exploring
Penetration testing as a service
The pillar guide to pentesting and PTaaS — what it is, the types, how continuous testing closes the annual-pentest gap.
Learn more →Strix vs the field
Honest, sourced comparisons of Strix against XBOW, Cobalt, Aikido, NodeZero, and Pentera — and where each one wins.
Learn more →Start testing in minutes
Connect your GitHub repos and domains, and get fully set up in a few clicks.