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A fully autonomous forensic investigator with 140+ typed tools, quality-gated phases, adversarial self-review, and an architecture that makes hallucinated findings nearly impossible.
Turns Claude Code into a guardrailed DFIR investigation agent: one manifest over collected disk and memory evidence; correlates, self-corrects on contradictions, ships auditable reports.
An MCP verification layer that makes an AI forensic agent prove every finding against the evidence, or stay silent
Multi-agent DFIR triage that reads memory and disk images, pivots like a real analyst, and writes an complete incident report in minutes for pocket change. Forensics that never sleeps.
Autonomous incident response that can't hallucinate — every finding is grounded in the tool output that proves it, or it doesn't ship.
An autonomous DFIR agent using MCP to wrap Volatility 3 — eliminates context flooding, syntax hallucination, and false clean declarations from AI-driven memory forensics
A read-only Neo4j graph-correlation layer that extends Protocol SIFT, giving an autonomous DFIR agent cross-host, cross-time memory of a case, with read-only enforced by architecture.
AI attackers move at machine speed, while incident response remains manual. Our agent triages disk+memory at machine speed every finding cited, zero hallucinations, evidence read-only by design.
Autonomous DFIR at adversary speed. Architectural guardrails block evidence tampering in code. Self-corrects via cross-artifact verification. F1=1.00
EvidenceLoop helps DFIR analysts triage PCAPs on SIFT while keeping raw evidence local and validating every LLM-assisted finding.
MCP server that enforces forensic evidence integrity through architecture -- no write tools exist, SHA-256 sealing, and a DRS confidence gate.
Autonomous DFIR agent on SANS SIFT that processes evidence through a read-only MCP boundary, per-call audit log, and a self-correcting validator loop.
An autonomous DFIR agent that finds evil in under 10 minutes with a full attack timeline - calling 190+ typed tools through an MCP server, with parallel 4-AI calling and 8 workers make most efficient.
73 MCP tools (16 SIFT forensic wrappers) behind one MCP interface — an agent swarm runs days of disk + memory forensic triage in minutes, with every finding deterministic and hashed.
A custom MCP server that hands Claude 73 typed, read-only forensic functions — autonomous DFIR triage where every finding is traceable to a tool call and hallucination is structurally impossible.
AI incident response agent that livestreams threat-hunting reasoning to an interactive attack graph — and self-corrects when it hits false positives.
A DFIR agent: point it at digital evidence and it returns a signed verdict — is there evil here? — with every finding citing the exact tool call, in a chain of custody you can verify offline.
An autonomous AI defender for Windows DFIR that catches AI-using attackers, audits its own findings with a deterministic critic, and trains itself daily on the latest threat intel.
Autonomous forensic AI agent that finds evil in disk images, memory dumps, and logs — verifying every finding before reporting.
Autonomous DFIR on SIFT where every finding is a cryptographically-verifiable receipt — and the verdict tracks the evidence.
A forensic AI agent that catches its own mistakes. Every finding traces back to a specific tool call. No hallucinations reach the report.
Court-defensible autonomous DFIR. Five orchestrators on one typed MCP server. Real F1 measured across three forensics datasets.
When timestamps lie, investigations fail. Protocol-Sift auto-correlates log sources against NIST time delivering a clean, court-ready forensic timeline powered by AI.
We are closing the adversary speed gap. LogPose deploys a specialized AI crew via strict MCP endpoints, autonomously executing SIFT diagnostics to triage and self-correct in seconds
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