Italiano: această pagină nu e încă tradusă. Textul de mai jos e în English.
AI doesn’t replace the pentester — it removes the dead time. We built our own AI-assisted pentesting platform for exactly this: we combine the reasoning power and knowledge base of a language model with a methodology we created, where judgement and control remain with the human tester. The result is a deeper test on the same time budget, without sacrificing rigour or safety.
Our platform
- Frontier or self-hosted LLM — for sensitive environments, the model runs locally, at our site or yours, so no project information leaves the network. The same principle as our other services: data stays in the EU, and for classified environments, fully disconnected.
- In-house methodology with iteration loops — the AI proposes hypotheses and steps, the tester validates and executes them in a controlled manner, and the results feed back into the loop. Testing deepens step by step, not in a single automated pass.
- Strict safety instructions — guardrails that prevent any destructive or out-of-scope action. The AI proposes; nothing with impact happens without the tester’s confirmation.
- Pentester–AI interactivity throughout — interactive-pentester mode: the tester leads, the AI accelerates. It’s not a scanner that spits out a report, but a working partner the pentester dialogues with at every step.
Across the entire pentest workflow
The assistant works alongside the tester in every phase, not just at the beginning:
- Reconnaissance and analysis — rapid information correlation, synthesis, hypothesis generation
- Exploitation — the AI proposes vectors and payload variants, the tester confirms and executes under control
- Documentation — evidence and reproduction steps structured as the test progresses
Why it matters
It’s our “manual-first” principle, at a different speed: the tools cut the dead time, the judgement stays with the tester. You gain coverage and depth — more hypotheses explored, more paths followed to the end — without losing the human control that makes the difference between a good test and an expensive scanner.
What you get
- The same deliverables as any manual test: findings with evidence, reproduction steps, severity in business context and prioritised remediation
- A deeper test on the same time window, because the repetitive work is accelerated and the tester invests time where it matters