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AI-assisted penetration testing
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AI-Assisted Penetration Testing

Pen testing at AI speed, with human depth.

A faster way to get a rigorous penetration test. Our certified testers are augmented by AI to cover more ground in less time, recon, triage and coverage accelerated by machines, exploitation and judgement owned by experts. Same rigour, delivered in days.

Overview

The speed of automation, the judgement of an expert.

Traditional penetration testing is thorough but slow, a skilled tester can only cover so much ground in a day, and much of that time goes on reconnaissance, triage and paperwork rather than actual attack thinking. AI-assisted penetration testing flips that ratio.

We use AI to compress the mechanical work, mapping the attack surface, correlating vulnerabilities, generating and tuning payloads, deduplicating findings and drafting the report, so our certified testers spend their hours where they matter: exploitation, business-logic abuse, chaining weaknesses into real attack paths, and eliminating false positives. You get broader coverage, a faster turnaround, and findings a human has personally verified.

This is an opt-in way to run your engagement. If you need results quickly, a product launch, a customer security review, a board deadline, a CI/CD cycle, it is often the better choice. Every finding is still validated and signed off by a qualified tester under a documented AI rules-of-engagement.

And it is private by design. We run on locally-hosted, self-hosted AI models, your code, traffic, credentials and findings are processed inside a controlled environment we operate, never sent to a public AI cloud. Acceleration does not mean handing your sensitive data to a third party.

Why choose this

Two things, at once: fast and high-skill.

You usually have to pick one. AI-assisted testing is how we give you both.

Fast results

AI collapses the slow parts of a test, reconnaissance, attack-surface mapping, vulnerability correlation and reporting. Engagements that traditionally take weeks are delivered in days, so you can remediate and ship sooner, and meet the deadline that is actually driving the test.

High-skill testing

Speed changes nothing about who does the hard part. Certified, experienced testers drive exploitation, business-logic attacks and the chaining of weaknesses into real attack paths, the work AI cannot do. The depth is unchanged; only the drudgery is automated away.

Your data stays yours

We run on locally-hosted, self-hosted AI models by default, nothing is sent to a public AI service like ChatGPT. Your data is processed inside a controlled environment we govern, which supports data-residency and localisation needs (RBI, DPDP) that public AI APIs simply cannot meet.

Fewer false positives

AI triages and deduplicates raw findings; a human then verifies every reported issue by hand. You are not handed a noisy scanner dump, you get a short list of confirmed, exploitable findings your engineers can act on with confidence.

Broader coverage

Machine speed means more of your surface gets meaningful attention, more endpoints, parameters and edge cases probed within the same window, instead of a sample bounded by how many hours a tester has.

Better value

Less time spent on mechanical work means a lower cost per asset tested, making regular, repeatable testing affordable rather than an annual luxury.

The same report you trust

Risk-rated findings, evidence, reproduction steps and prioritised remediation, written in two registers for engineers and for the board. Empanelled, inspection-ready output, produced faster.

How it works

What AI accelerates, and what stays human.

We are deliberately clear about the division of labour. AI does not exploit your systems on its own, and it does not sign off findings. People do.

AI accelerates

  • Reconnaissance and OSINT gathering
  • Attack-surface and asset mapping
  • Vulnerability scanning and correlation
  • Payload generation and tuning
  • Deduplication and noise reduction
  • First-draft evidence and reporting

Experts own

  • Exploitation and proof-of-concept
  • Business-logic and authorisation abuse
  • Chaining weaknesses into attack paths
  • False-positive elimination and verification
  • Risk rating and remediation guidance
  • Final review and sign-off

Your data never leaves a controlled environment

By default we run on locally-hosted, self-hosted models, your data is not sent to any third-party AI cloud. Every engagement runs under a documented AI rules-of-engagement covering what is processed, which local model handles it, retention and secure destruction, so acceleration never comes at the cost of confidentiality, control or data residency.

Traditional vs AI-assisted

Same rigour. Different pace.

DimensionTraditional VAPTSICHERTEN AI-Assisted
TurnaroundTypically 2–4 weeksDays
Coverage breadthBounded by tester hoursAI-expanded
False-positive handlingManual triageAI-triaged, human-verified
Business-logic depthExpert-ledExpert-led, unchanged
Cost per assetHigherLower
Final sign-offCertified testerCertified tester, unchanged
What we test

Across your whole surface.

Web applicationsPortals, dashboards, customer apps.
APIs & microservicesREST, GraphQL, service-to-service.
Mobile appsiOS and Android builds.
External & internal networksInfrastructure, services, hosts.
Cloud environmentsAWS, Azure and GCP configurations.
Continuous / CI-CDRepeatable testing on every release.
Is this right for you?

When to opt for AI-assisted.

You’re on a deadlineA launch, customer review or board date is driving the test.
You ship oftenFrequent releases need testing that keeps pace.
You have a broad surfaceMore apps and endpoints than a manual test can fully cover.
Budget mattersYou want rigorous testing at a repeatable cost.

Prefer a fully manual, deep-dive engagement? That option is always available, some high-assurance or regulator-facing tests call for it. Talk to us and we’ll recommend the right approach for your goal, not just the fastest one.

FAQ

Straight answers

Do you send our data to ChatGPT or other public AI services?
No. By default we run AI-assisted testing on locally-hosted, self-hosted models. Your source code, traffic, credentials and findings are processed inside a controlled environment we operate, not sent to a public, third-party AI cloud, and never used to train anyone else’s model. If a specific engagement would benefit from a particular hosted model for a narrow task, that is only ever done with your explicit written approval and scoped controls.
Where is our data processed, can it stay in India?
Because the models are self-hosted, testing data stays inside the environment we agree with you, which can be kept in-country. That directly supports data-residency and localisation expectations, for example the RBI’s requirements for payment data and DPDP considerations, in a way that public AI APIs cannot, since those route your data to external infrastructure you do not control.
What exactly happens to our data during the test?
Everything is governed by an AI rules-of-engagement agreed before we start: what is in scope, which local model processes it, how long anything is retained, and how it is securely destroyed afterwards. Sensitive data is kept out of scope wherever it is not needed. Nothing is shared beyond the testing environment.
Is AI-assisted testing as thorough as a manual test?
For the parts that matter most, exploitation, business logic, verification, it is the same, because those are done by the same certified testers. AI removes the mechanical overhead, which typically means broader coverage in less time, not less depth. For a small number of very high-assurance engagements a fully manual approach is still preferable, and we will tell you when that is the case.
Does the AI exploit our systems automatically?
No. AI accelerates reconnaissance, correlation and triage. A human tester makes every exploitation decision and performs the actual attacks under the rules-of-engagement. Nothing is exploited or signed off without expert oversight.
Will this satisfy a regulator or a customer’s security review?
Yes, and the local-model approach is often a point in your favour during a vendor security review, because you can show that testing data was never exposed to a public AI service. The deliverable is the same rigorous, evidence-backed report from a CERT-In empanelled team; where a framework requires a particular testing method, we scope to it.

Get a rigorous test, without the wait.

Tell us your surface and your deadline. We’ll scope an AI-assisted engagement that meets both.