AI-powered penetration testing

AI does not replace the pentester: it makes them more effective. We combine AI tooling with the judgement of our experts to deliver faster audits, with broader coverage and lower cost.

How does AI improve traditional pentesting?

Traditional tools generate noise: thousands of findings of which 80% are false positives or low-relevance results. AI lets us prioritise automatically, generate adaptive payloads, analyse large volumes of source code in minutes and correlate findings to identify attack chains. The result: more real vulnerabilities in less time.

How we apply AI to pentesting

  • Automated source-code analysis with LLMs for vulnerability detection
  • Generation of adaptive payloads for injection and business-logic testing
  • Intelligent prioritisation of findings by real impact (not theoretical CVSS)
  • Automatic correlation of vulnerabilities to identify attack chains
  • Accelerated reconnaissance: enumeration, subdomains, exposed services
  • Dependency and CVE analysis in real time during the test
  • Intelligent fuzzing of APIs and web applications
  • Report generation with automated business context

Hybrid AI + human methodology

  1. AI-assisted reconnaissance: We automate reconnaissance and enumeration with AI to cover the entire attack surface in less time.
  2. Analysis and prioritisation: AI models classify and prioritise attack vectors. Our experts validate them and add business context.
  3. Human-led exploitation: Exploiting complex vulnerabilities, business logic and chaining attacks together requires human judgement. This is where the expert makes the difference.
  4. Post-exploitation and escalation: AI-guided lateral movement and privilege escalation, validated manually.
  5. Intelligent reporting: A report generated with AI assistance and reviewed by experts: prioritised by real impact with business context.

Deliverables

  • Executive report prioritised by business impact
  • Technical report with a PoC for each real finding
  • Coverage analysis: percentage of the attack surface assessed
  • Efficiency comparison vs traditional pentesting
  • Re-test included

Use cases

  • Complex web applications that require exhaustive coverage within a limited timeframe
  • Pre-launch security reviews with tight deadlines
  • Source-code audits of large repositories
  • Companies seeking the best coverage/cost ratio in their assessments
  • Bug bounty programmes that need a systematic starting point

Frequently asked questions

Is AI-powered pentesting as rigorous as manual testing?

It is more rigorous in coverage (AI does not tire and never skips steps) and less so in pure creativity. That is why we combine both: AI guarantees systematic coverage while the human expert brings creativity, context and advanced exploitation.

Which AI tools do you use?

We combine proprietary tooling with recognised industry solutions, tailored to each type of assessment. We do not rely on a single vendor or on generic AI tools that have not been validated for security work.

Is it cheaper than traditional pentesting?

Generally yes, because automation reduces the hours spent on manual reconnaissance. But the main value is not the cost: it is the broader coverage achieved in the same amount of time.