Cybersecurity Services
AI Penetration Testing
Penetration testing carried out by AI agents that plan, exploit and prove impact — full assessments in hours, repeated on every release instead of once a year.
- 4–12 hrs
- Typical Full Assessment Turnaround
- 100%
- Confirmed Findings Ship With A Working PoC
- 60–80%
- Lower Cost Than An Equivalent Manual Scope
- Time To First Finding
- Under 30 Minutes
- Targets
- Web, API, Network, Cloud, Active Directory
- Methodology
- OWASP WSTG, PTES, NIST SP 800-115
- Evidence
- Request, Response, Screenshot
- Retest
- Unlimited, Included
Problem
- The Issue
- Impact
Complete authenticated assessments finished in hours, not weeks
Every confirmed finding proven by a real, replayable exploit
Re-run on every release, not once a year
Penetration testing that moves at the speed you ship
AIPTx applies autonomous agents to the work a red team does by hand — reconnaissance, exploitation, privilege escalation, lateral movement and reporting.
The methodology does not change and neither does the standard of proof; what changes is that the engagement has no calendar, no hourly budget and no reason to stop at the first ten findings.
Why Pentest
- Key Benefits
The problem: annual pentesting stopped working
None of these are failures of the people doing the testing. They are structural limits of buying security testing by the consultant-day, and every one widens as your release cadence increases.
A traditional pentest describes a system as it existed on the day testing stopped — and the fifty-one releases that follow it are never tested at all.
- Months of untested releasesAn annual engagement validates the system as it stood on one day. Every release shipped between that day and the next engagement reaches production with no penetration test behind it.
- Scoping outlasts the releaseAgreeing scope, signing paperwork and waiting for a consultant slot routinely takes longer than the sprint that produced the change. By the time testing starts, the build under test is already several releases behind.
- Priced by the consultant-dayBilling by tester time means the budget decides how much gets tested rather than the attack surface does. A second environment or a newly shipped API becomes another engagement to buy instead of scope to extend.
- Scanners report possibilitiesSignature and version matching produces a list of things that might be exploitable and leaves the team to establish which ones are. That triage is manual, repeated per finding, and paid for out of the time meant for remediation.
- Findings arrive without evidenceA finding stated without the request that triggered it and the response that proves it is an assertion an engineer has to reconstruct before acting on it. With no blast radius attached, there is no basis for ranking it against anything else in the queue.
- Retesting is a separate purchaseVerifying a fix is sold as its own engagement, and usually as a single round. Teams either pay again to confirm the exploit stopped working or close the ticket on the developer's word.
Key Benefits
Why continuous penetration testing is a must for every business
Results In Hours
Findings land while the sprint is still open, so they are fixed in the release that introduced them.
Proof, Not Guesswork
A finding is confirmed only once the exploit succeeded and the evidence was captured.
Coverage On Every Release
A yearly test validates one release; testing on every deploy validates all of them.
Lower Total Cost
Priced per asset, so a second environment does not mean a second engagement.
Unlimited Retests
Every fix is validated by replaying the original attack, and regressions re-open automatically.
Audit-Ready Evidence
SOC 2, ISO 27001, PCI DSS and HIPAA exports generated per run, with the retest trail attached.
How It Works
- Approach
- Workflow
How AIPTx runs a penetration test
Every engagement follows the same phases a human tester works through — none cut short because a billable window closed.
- 01
Scope & Authorise
Verify ownership, record authorisation, set roles, exclusions and rate limits.
- 02
Reconnaissance
Enumerate subdomains, services, routes, schemas and cloud resources into a live inventory.
- 03
Attack Surface Modelling
Turn the inventory into a graph of entry points, trust boundaries, roles and data stores.
- 04
Exploitation
Prove candidate vulnerabilities for real, then escalate privileges and pivot to show reach.
- 05
Report & Retest
Ship evidence, owner and patch, then replay the exploit once the fix lands.
| Target Type | What We Test |
|---|---|
| Web Applications | OWASP Top 10, Business Logic, Multi-Tenant IDOR |
| APIs | REST, GraphQL, gRPC, BOLA, Mass Assignment, Rate Limits |
| Networks | External Perimeter, Internal Pivoting, Weak Protocols |
| Cloud Environments | IAM Privilege Paths, Public Storage, Metadata Services |
| Containers | Image CVEs, Registry Exposure, Kubernetes RBAC & Escape |
| Active Directory | Kerberos Abuse, Delegation, ACL Paths, Domain Escalation |
What We Cover
- Scope
What the agents actually do
The same engine covers the layers most programmes buy from three or four separate vendors, under one scope and one report.
Authenticated Multi-Role Testing
Session persistence, role matrix cross-testing, SSO and MFA flows across every role you supply.
Web Application Exploitation
Injection, XSS, SSRF, deserialisation, file upload abuse, race conditions and workflow manipulation.
API & Integration Testing
OpenAPI and Postman imports, schema fuzzing, mass assignment, BOLA and rate-limit abuse.
Network & Infrastructure
External perimeter and internal testing through a connector: exposed services, defaults, patch gaps.
Cloud & Container Assessment
AWS, Azure and GCP IAM paths, storage exposure, image CVEs, Kubernetes RBAC and escape paths.
Attack Chain Reconstruction
Findings assembled into validated routes to crown-jewel assets, with the cheapest break highlighted.
Proven Impact
- Outcomes
What changes once testing is continuous
The value is not that a machine tests faster. It is that testing stops being an event you prepare for and becomes a property of your release process.
- Hours
- Results while the sprint is still open
- 0
- Unverified issues in the confirmed queue
- 52×
- More coverage at a weekly release cadence
- 60–80%
- Lower cost than an equivalent manual scope
- Unlimited
- Retests, included on every fix
- On demand
- Audit and customer evidence exports
Where It Fits
- Use Cases
Where teams put AI penetration testing to work
Across industries. Across environments. For every modern business.
SaaS & Product Engineering
Gate the release candidate in the pipeline so a critical finding blocks promotion to production.
Financial Services
Prove exposure across customer-facing apps, payment paths and internal networks continuously.
Healthcare
Test patient-facing systems and integrations without touching data or risking availability.
E-commerce
Attack checkout, pricing and account flows before someone abuses the logic in production.
M&A & Due Diligence
Map and test an inherited estate — including the shadow infrastructure never on the asset list.
Government & Public Sector
Meet regular-testing mandates with evidenced runs and a full remediation trail.
FAQ
AI penetration testing questions
Is AI penetration testing a replacement for human pentesters?
For the recurring, breadth-first work — yes, and it runs far more often than any human schedule allows. For a bespoke engagement against novel business logic, a physical or social-engineering component, or a regulator that demands a named tester, humans still matter. Most teams run AIPTx continuously and bring specialists in once a year for depth.
Will the agent damage my production environment?
Destructive actions are disabled by default. The agent will not delete data, run denial-of-service payloads or exhaust resources, and every run is bound by a configurable request rate. Exploitation proves access — reading a single record, writing to a scratch path — rather than causing harm.
How do you avoid false positives?
By requiring exploitation. A finding is marked confirmed only when the attack succeeded and the request, response and resulting state change were captured. Anything identified by version fingerprint or heuristic alone is labelled unproven and ranked in its own tier.
Does the report satisfy SOC 2, ISO 27001 or PCI DSS?
Yes. Each run produces an executive summary, a full technical report with evidence, a remediation plan and a retest attestation, with findings mapped to the relevant control sets — the same artefacts a consultancy would hand over, plus the trail showing when each issue was actually closed.
Can it run inside our CI/CD pipeline?
Quick assessments are designed for pull-request gates through the GitHub, GitLab and Jenkins integrations, and you can fail a build on a severity threshold or consume SARIF output in your existing code-scanning view. Deeper engagements usually run against a release candidate or on a schedule.
How long does a test take, and how soon can we start?
There is no scheduling lead time: point the agent at a target and the first proven findings arrive within the hour. A quick assessment finishes in minutes and is built for a pull-request gate, a standard run against a release candidate takes a few hours, and a deep engagement against a large authenticated application runs overnight rather than over the six weeks a consultancy would quote.
Run a real penetration test this afternoon
Point AIPTx at a target, supply credentials for the roles you want covered, and watch the first proven findings arrive within the hour.
Explore other services
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Find, rank and fix weaknesses across the whole estate.
Web Application Security
Deep authenticated testing for the apps you ship.
Attack Surface Management
Discover and watch everything you expose to the internet.
Autonomous Pentesting
The agents that plan, exploit and prove, and how each step is evidenced.