AI pentesting
AI pentesting that proves exploitability
HyperSec provides autonomous AI pentesting for live applications. Attack agents explore your app and test likely weaknesses, then a Judge agent confirms or rejects each claim, so what reaches your report comes with evidence.
What AI pentesting means
AI pentesting uses software agents to do the work a human penetration tester does: explore an application, decide what to attack, run the test, and judge whether it worked. A traditional scanner replays a fixed list of signatures. An AI pentester reasons about your application's identity, state and business logic, chaining the steps a human attacker would.
That reasoning is what surfaces access-control and business-logic flaws, the class of defect that signature-based tools tend to miss.
How HyperSec tests a live application
Build context from real traffic
A browser signs in and crawls the scoped application through ai-mitm. As traffic flows, the proxy records endpoints, HTTP history and passive anomalies.
Separate planning from execution
For each endpoint, the Analyst writes concrete test scenarios. Each Tester receives one scenario and drives raw HTTP or the on-demand intruder against the live target.
A claim must survive review
The Judge returns Confirmed, False positive or Insufficient. Insufficient evidence sends specific feedback back to the Tester for a policy-limited retry. A finding is saved only once the Judge confirms it.
What confirms, or rejects, a finding
The Tester cites the request records it relies on as proof. HyperSec attaches the verbatim request and response appendices for the Judge and for human review. Every confirmed finding carries its risk, confidence, CWE, affected request, reproduction steps, machine-captured evidence, remediation guidance and retest status.
The Judge is an AI reviewer of the Tester's evidence. Treat a finding as evidence to inspect and retest, not as a verdict to accept unread.
What HyperSec tests for
The Analyst chains real attacks across these classes, reasoning about identity, state and context rather than matching a fixed signature.
Cross-site scripting (XSS)
Untrusted input rendered into a trusted page context.
Broken object-level authorization (BOLA/IDOR)
Access controlled by a guessable ID instead of a real ownership check.
Server-side request forgery (SSRF)
Coercing the server into making requests to internal systems.
SQL injection
Untrusted input reaching a database query.
Cross-site request forgery (CSRF)
Actions performed on a user's behalf without their consent.
XML external entities (XXE)
Malicious XML entities exploited during parsing.
Prompt injection
Untrusted content hijacking an LLM-driven feature's instructions.
Scoped to what you authorize
Every scan runs against the targets and accounts you approve, and nothing outside that scope is touched. Paid plans include domain verification. Scan data is encrypted at rest and in transit, and is never sold or used to train third-party models.
Start with a free surface scan
Paste a URL to get a surface scan and a basic A–F security grade in under 60 seconds. Paid plans unlock the full AI hacker scan, a findings list and PDF export.
Frequently asked questions
What is AI pentesting?
AI pentesting uses AI agents to carry out penetration-testing work: exploring an application, choosing attacks, running them and judging the results. HyperSec's agents test a live application the way an attacker would and report only findings backed by confirmed evidence.
How is AI pentesting different from a vulnerability scanner?
Traditional scanners match fixed signatures. HyperSec's agents reason about your application's actual logic, chaining the steps a human attacker would, which surfaces access-control and business-logic flaws that signature-based tools miss. Every finding is reviewed by a Judge before it reaches you.
Can AI pentesting replace a human pentester?
HyperSec automates exploratory testing of a live app and gives you evidence to inspect and retest. It does not remove your judgment about risk. Whether it satisfies a specific audit or customer requirement depends on that requirement, so check it before you rely on it.
What vulnerabilities does HyperSec test for?
Cross-site scripting (XSS), broken object-level authorization (BOLA/IDOR), server-side request forgery (SSRF), SQL injection, CSRF, XML external entities (XXE) and prompt injection.
How does HyperSec handle false positives?
Each scenario is reviewed by the Judge, who confirms it, rejects it as a false positive, or sends specific feedback to the Tester for a bounded retry. Only confirmed findings are saved.
How much does AI pentesting with HyperSec cost?
A surface scan and a basic A–F security grade are free (one scan credit per month). Paid plans start at $15 per month for the full AI hacker scan, a findings list and PDF export. The $100 per month plan adds unlimited scans, scheduled scans and API access, and a custom plan adds white-label reports. See the pricing page for current limits.
Is my data used to train models?
No. Scan results are yours. They are never sold or used to train third-party models.