AI Pentesting Tools

AI Pentesting ToolsThree categories hiding behind one label.

Vendors describe wildly different products with the same phrase.
Here is what separates them, and the questions that sort a shortlist quickly.

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What counts as an AI pentesting tool?

The label covers any security product where a model does part of the offensive work. In practice the market splits three ways. Autonomous agents drive a whole engagement and exploit what they find. A second group keeps a traditional rules engine and bolts a model onto triage or report writing. Then come the managed services, where a vendor runs its own agents in its own cloud and sends you results. What separates them is evidence, because a tool that hands you a working request has already done your triage.

The three categories

Knowing which one you are looking at answers most of the evaluation questions early.

Autonomous agents

A model plans and executes the attack, adapting as the target responds. Output is a proven exploit. Strix, XBOW, and RunSybil live here.

AI-assisted scanners

A conventional engine finds the candidates and a model cleans up severity and wording. Fast and cheap, though the underlying coverage stays the same as before the model showed up.

Managed AI pentests

The vendor runs agents in its own cloud on a schedule and delivers a report. Less setup for you, but more expensive and less frequent.

Questions that separate them

Ask these during a trial and the differences show up within an hour.

Does it hand me a working exploit?

Ask for the request and response behind a finding. Tools without them are asking you to do the triage.

What happens to my source code?

Find out where the code sits during a test and how long it stays there. Some teams cannot answer that in a way legal accepts.

Does it run on a pull request?

A tool that only runs on a schedule will always be late to code that shipped yesterday.

Does the fix come with it?

A finding plus a patch closes the loop. A finding on its own creates a ticket.

Can I choose the model?

Model choice controls both your bill and whether the tool can run inside a regulated network.

Can I watch it work?

A live agent graph shows every agent, the action it is taking, and the requests it sends, so you can follow the whole test in real time.

Autonomous agents vs AI-assisted scanners

The two categories teams most often confuse during a bake-off.

Who plans the attack

Autonomous agent (Strix)

The model

AI-assisted scanner

A fixed rules engine
Adapts mid-test

Autonomous agent (Strix)

yes

AI-assisted scanner

no
Proof of exploitability

Autonomous agent (Strix)

Working request per finding

AI-assisted scanner

Severity estimate
Chained vulnerabilities

Autonomous agent (Strix)

yes

AI-assisted scanner

no
Business logic coverage

Autonomous agent (Strix)

yes

AI-assisted scanner

no
Triage burden

Autonomous agent (Strix)

Low

AI-assisted scanner

High
Fix delivery

Autonomous agent (Strix)

Pull request

AI-assisted scanner

Advisory text
Typical runtime

Autonomous agent (Strix)

Minutes to hours per target

AI-assisted scanner

Minutes

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
2323 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);
2529 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

What buyers ask while shortlisting.

Security products where a model performs offensive work: mapping a target, choosing payloads, exploiting a weakness, or writing up what happened. The strongest ones prove a finding with a request you can replay.

Try one on your own stack

The open source agent runs locally. The hosted platform starts free.