Automated penetration testing
Automated penetration testing that confirms what it finds
HyperSec automates the exploratory part of a penetration test on your live web application. Attack agents explore the app and try likely weaknesses, and a Judge agent confirms or rejects each claim, so the report holds findings with evidence rather than a list of maybes.
What automated penetration testing means
Automated penetration testing runs the steps of a pentest without a person driving each request: map the application, decide what to attack, run the test and judge the result. It sits between a vulnerability scanner, which replays fixed signatures, and a manual engagement, which is thorough but scheduled a few times a year.
HyperSec's agents reason about how your application handles identity and state, so they can test access control and business logic as well as classic injection flaws.
How an automated run works
Map the app from real traffic
A browser signs in and crawls the scope you authorized. Endpoints, HTTP history and passive anomalies are recorded as the basis for testing.
Plan, then test
The Analyst writes concrete test scenarios per endpoint. Each Tester takes one scenario and runs it against the live target over raw HTTP or the on-demand intruder.
Confirm before reporting
The Judge returns Confirmed, False positive or Insufficient. Insufficient evidence goes back to the Tester with specific feedback for a limited retry. Only confirmed findings are saved.
What you get for each finding
Every confirmed finding carries its risk, confidence, CWE, affected request, reproduction steps, machine-captured evidence, remediation guidance and retest status. The verbatim request and response are attached, so you can inspect the proof instead of trusting a score.
When automated testing fits
After you ship
Run a scan against the deployed app when a release changes authentication, permissions or data access.
Between manual engagements
Cover the time between scheduled human pentests with testing you can repeat on demand.
Alongside code review
Pair pull request review, which reads the changed code, with an attack test of the running application.
Scoped to what you authorize, with stated limits
Every scan runs against the targets and accounts you approve, and nothing outside that scope is touched. Scan data is encrypted at rest and in transit, and is never sold or used to train third-party models.
The Judge is an AI reviewer of the Tester's evidence. Treat a finding as evidence to inspect and retest, and check whether a specific audit or customer requirement accepts automated testing before you rely on it.
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 automated penetration testing?
Automated penetration testing uses software to carry out the steps of a pentest: exploring an application, choosing attacks, running them and judging the outcome. HyperSec does this with AI agents against a live web application and reports only findings backed by confirmed evidence.
How is it different from a vulnerability scanner?
A scanner matches fixed signatures. HyperSec's agents reason about your application's actual logic and chain the steps a human attacker would, which surfaces access-control and business-logic flaws that signature-based tools tend to miss.
Does it replace a manual penetration test?
It automates exploratory testing of a live app and gives you evidence to inspect and retest. Whether it satisfies a specific audit or customer requirement depends on that requirement, so check it before you rely on it.
What does it 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 are false positives handled?
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 it cost?
A surface scan and a basic A–F security grade are free, with a monthly allowance of AI credits. 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 more AI credits, scheduled scans and API access, and a custom plan adds white-label reports. See the pricing page for current limits.