Features
Autonomous multi-agent orchestration with 18 AI agents
Cascade control with dynamic routing and depth cap (3 levels)
Real-time SSE dashboard for live campaign monitoring
Infrastructure graph mapping hosts, paths, vulnerabilities
Publication-ready reports (ISO 27001, HackerOne, Bugcrowd)
CVSS 3.1 scoring and MITRE ATT&CK mapping
AES-256 sealed runtime and hardware-bound licensing
Binary integrity watchdog with 2-second checks
Anti-tamper detection (gdb, strace, frida, lldb)
Read-only rootfs + seccomp sandbox
Full-stack exploitation: SQLi, XSS, SSRF, RCE, etc.
Kubernetes attack chain: RBAC, DIND, node escape, etc.
Active Directory takeover: Kerberoasting, DCSync, ADCS
Detection of 14 technology signals for target profiling
AI discovery and shadow AI reconnaissance
Automated AI red teaming with continuous testing
Psychometric agent profiling and fingerprinting
AI attack surface enumeration and mapping
Runtime AI protection and context-driven guardrails
GuardBuster tool for AI guardrail evaluation
Exploitable risk detection prioritizing high-impact findings
AI security risk compliance reporting (GRC)
Automated AI agent hardening
Integration with CI/CD pipelines and Burp Suite
One-click deployment without specialized expertise
AI-BOM and shadow AI risk exposure
Agent-native reconnaissance before attack execution
Zero-day exploit research and public disclosure support
Supports AI chatbots, applications, agents, and infrastructure
