Enables autonomous DFIR investigation by turning the SIFT toolchain into evidence-safe MCP functions, with self-correction, corroboration, and traceable audit trails.
Adversarial autonomous DFIR. A court of AI agents — Prosecutor, Defender, Arbiter — investigates disk and memory evidence through a typed, read-only MCP server.
Enables autonomous digital forensics and incident response through 21 typed forensic tools covering disk, memory, registry, network, timeline, carving, and patterns, integrated with AI-driven reasoning and self-correction.
An autonomous DFIR agent that hunts timestomping and rename/move laundering on the SANS SIFT Workstation, driven by Claude Code, with a read-only architecture and self-correcting triage loop using the USN change journal.
Enables autonomous digital forensics and incident response by wrapping SIFT Workstation tools as MCP tools and orchestrating a multi-agent AI pipeline for evidence analysis and remediation planning.
First-line incident triage you can trust: ranked root-cause hypotheses where every claim cites a real evidence handle — and the agent abstains rather than guess.