Full provenance tracking and reasoning transparency for every action across the attack lifecycle. Every finding includes a complete chain of evidence — from initial discovery through verification — with replay capability and confidence scoring.
Graph-based visualization of the complete attack path — from initial reconnaissance through exploitation and lateral movement.
Every decision made by the AI is recorded with full reasoning chains, LLM prompts, tool outputs, and intermediate results.
Every finding can be replayed on demand — raw requests, responses, timing, and evidence are captured and preserved.
Multi-factor confidence scoring based on evidence strength, reproducibility, attack complexity, and environmental factors.
Cryptographic chain of custody for every piece of evidence — tamper-proof audit trails suitable for compliance and legal proceedings.
Track finding status across scans — new, fixed, regressed, or unchanged — with visual diff and trend analysis.
Every action — scan, request, response, tool output, LLM decision — is captured in real-time with full context, timing, and metadata. Nothing is discarded.
Evidence is automatically linked into an attack chain graph. Each node represents a discrete action or finding, with edges representing causality and dependencies.
Each finding is independently replayed and validated. Confidence scores are calculated from evidence strength, reproducibility, and attack complexity.
The complete evidence graph is presented with interactive visualization, searchable provenance, and exportable chain-of-custody reports.
Every action in the attack lifecycle is captured with full context and metadata.
Interactive graph-based visualization of the complete attack path.
Independently replay every finding to verify and demonstrate exploitability.
Full visibility into how the AI reached each decision and finding.
See every step of the attack chain with complete evidence, reasoning, and replay capability.