AI Security TestingTesting that keeps up with how often you deploy.
Most teams ship code several times a day. The security review still happens once a year.
Agents close that gap by testing every change and proving what they find.
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What is AI security testing?
Where the testing runs
One agent, pointed at whichever part of the stack needs attention.
Pull requests
A review on every PR, scoped to the diff, gating the merge when something is exploitable.
Code
The agent reads the repo to find the route that reaches a dangerous call, then tries it for real.
Web apps and APIs
Session handling, access control, injection, and the logic bugs that only appear after you chain two requests.
Cloud
IAM, storage exposure, and what an attacker reaches after landing on one workload.
Internal infrastructure
Hosts behind the VPN, over a connector your team sets up.
AI features
Prompt injection, tool abuse, and data leakage in the LLM features you shipped last month.
What makes the results usable
The output matters more than the scan count.
Proof, not suspicion
Each finding carries the request and response behind it, so nobody argues about whether it is real.
A patch to review
The fix shows up as a pull request, which is where your developers already work.
Retest built in
After the patch merges, the agent runs its own exploit again to confirm the bug is gone.
Scope you control
Strict rules of engagement define what the agent may touch, the runtime enforces them, and you can step in mid-run.
Your infrastructure
Self-host the whole thing and keep source code, traffic, and findings inside your network.
Evidence for auditors
Continuous test records that span the whole audit period.
Continuous AI testing vs the annual engagement
Cadence changes what a security program can promise about the code running right now.
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
AI security testing
Annual pentest
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); | |
| 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()); |
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 testing with agents.
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