Patent Pending Hybrid-Intelligence Penetration Testing Program
AI-augmented testing with custom LLMs, guided by senior offensive-security engineers
Safeguard your organization with a penetration testing program that combines autonomous, custom-trained language models with expert human leadership. Our hybrid approach accelerates discovery, confirms validity, and translates findings into clear, prioritized actions for both engineering and executive stakeholders.
Why Our Approach
- Speed and coverage: AI agents rapidly enumerate assets and assess attack paths across cloud, on-premises, and SaaS environments.
- Accuracy with accountability: Senior, industry-certified engineers validate critical findings and reproduce proofs of concept.
- Decision-ready outputs: Plain-language reporting aligned to CVSS and MITRE ATT&CK, with risk narratives suitable for boards and auditors.
Methodology
Discovery & Mapping – AI Agents perform AI-driven reconnaissance to build a live, comprehensive asset inventory. Agents operate in parallel and simultaneous modes to accelerate service, endpoint, API, and cloud configuration discovery.
Vulnerability Analysis – Custom LLMs correlate context, configurations, and CVEs to surface exploitable weaknesses. Agents auto-generate candidate test cases and payloads, queuing back-to-back evaluations to maximize coverage with minimal delay.
Exploitation & Chaining – Graph reasoning links discrete weaknesses into realistic attack paths. LLM-powered code generation produces sandboxed proof-of-concepts, which Agents execute rapidly in parallel to validate impact and lateral-movement potential.
Human Validation – Senior engineers review and reproduce critical findings, add targeted business-logic tests, and remove noise. Human leads direct the AI Agents where deeper manual scrutiny is required and approve final severity and evidence.
Remediation & Retesting – Findings include prioritized, developer-ready guidance. Agents run automated re-evaluation loops after patches or configuration changes, providing swift back-to-back retests and closure verification.