One command center that correlates AI-native attack paths with conventional cyber findings — not two disconnected tools.
Modern systems blend LLMs, agents and MCP with conventional apps, cloud, containers and Kubernetes — but security tooling still treats “AI security” and “cybersecurity” as two unrelated disciplines producing two unrelated reports. This command center orchestrates both through one policy engine, one evidence model and one attack graph.
150+ authorized AI attack scenarios across LLM, RAG, agent, MCP, A2A, multimodal and voice
Pluggable adapters for established tools — Burp Suite, OWASP ZAP, Nmap, Nuclei, Trivy, Semgrep, Gitleaks
Ephemeral, least-privileged, fully-auditable execution workers with a hard kill switch
Cross-domain attack-graph correlation linking AI findings to conventional cyber findings
Durable workflow orchestration for long-running, multi-day assessment campaigns
Executive and technical reporting with remediation tracking and continuous retesting
Designed and reviewed against all ten — see how I evaluate every architecture.
I design and ship systems like this one — from architecture through to production.
