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FIND EVIL!

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FindEvil: the DFIR agent that can't alter evidence
FindEvil: the DFIR agent that can't alter evidence

Autonomous DFIR agent: cross-references disk vs memory to catch tampering, with read-only MCP tools that can't alter evidence. Blind-scored 100%, and reconstructs the real ROCBA intrusion

P J
0 0
Project Mantis
Project Mantis

An autonomous DFIR triage agent that replaces AI hallucinations with deterministic, courtroom-style evidence validation.

Angelo Ayton
1 0
Yomi Triage System: Autonomous DFIR Engine
Yomi Triage System: Autonomous DFIR Engine

Autonomous DFIR engine for SIFT. Combines Ring-0 eBPF for sub-second containment with an air-gapped MCP Vault to physically block LLM hallucinations and preserve evidence integrity.

Armand Al-Farizy
0 0
ForensicIQ
ForensicIQ

ForensIQ is an autonomous DFIR agent that investigates digital evidence on a SIFT Workstation over SSH. You point it at a case path.

Mide Mide Kinnah Joshua
0 0
ChainsawMCP
ChainsawMCP

Drop evidence, get answers. ChainsawMCP connects Chainsaw's Windows Event Log hunting to AI for fast triage across large log volumes, no EDR required.

Jason Mull
0 0
SIFT-AEGIS (Autonomous Expert Grounded Investigation System)
SIFT-AEGIS (Autonomous Expert Grounded Investigation System)

Autonomous DFIR that investigates, self-corrects, and delivers a verdict — with zero false positives and full audit trail.

Surendra Kumar
0 0
SIFT Sentinel
SIFT Sentinel

An autonomous DFIR analyst for the SANS SIFT Workstation. Claude reasons over real disk & memory evidence but can't spoliate it or assert an uncited finding — integrity enforced by architecture.

Pushpender Singh Ujjawal Saini
0 0
AgenticSIFT
AgenticSIFT

Python CLI that orchestrates Claude (Anthropic API) for hypothesis-driven DFIR on SIFT. The LLM drives investigation logic and interpretation; Python controls tool access and execution boundaries.

Joshua Buck-Rogers Ahsan Memon Harun GÜLEÇ Kevin Castillo + 1
0 0
evtx-sentinel
evtx-sentinel

Telling an AI not to lie doesn't stop it. So evtx-sentinel re-reads the actual evidence behind every finding before trusting it — and caught 17 mistakes it would have otherwise reported.

Sagarika Arun Yaswanth K B T R SAMIKSHA IT SREYA S IT + 1
1 0
NTP Enrichment
NTP Enrichment

When timestamps lie, investigations fail. Protocol-Sift auto-correlates log sources against NIST time delivering a clean, court-ready forensic timeline powered by AI.

michelle tieder Nadine Whitfield
3 0
Evidence Attribution Pipeline
Evidence Attribution Pipeline

Autonomous forensic AI agent that finds evil in disk images, memory dumps, and logs — verifying every finding before reporting.

Prajwol Rana
1 0
SIFT Eye
SIFT Eye

Autonomous DFIR agent using Claude Code + a read-only MCP server wrapping 32 SIFT tools. Architectural evidence protection, self-correcting analysis, structured audit trail.

Heartlin Machado
0 0
Aletheia sentinel
Aletheia sentinel

Autonomous DFIR on SIFT where every finding is a cryptographically-verifiable receipt — and the verdict tracks the evidence.

Holeyfield33-art Holeyfield
1 0
Council-SIFT
Council-SIFT

An adversarial verification Council for autonomous digital forensics and incident response agents, forcing unsupported findings to self-correct against real forensic tool output before human sign-off.

Ashar Legault
3 0
EvilTrace
EvilTrace

Autonomous DFIR agent that proves every finding - each conclusion traced to SHA-256-sealed tool output by a deterministic, LLM-free validator. SIFT-native.

Anand Kumar
1 0
find-evil — stop Protocol SIFT hallucinating IOCs
find-evil — stop Protocol SIFT hallucinating IOCs

Stops Protocol SIFT's agent from hallucinating IOCs — it routes forensic tool output through a deterministic extractor, then reconciles every finding against ground truth instead of eyeballing dumps.

Vinay Vobbilichetty
0 0
Fossick Intelligence
Fossick Intelligence

Autonomous DFIR in 33 seconds. Four AI agents analyze forensic images, stream findings live, catch contradictions, and route decisions to your team via Slack.

Roger Kor
0 0
Casefile
Casefile

Casefile: An autonomous incident-response agent that investigates evidence, tracks its own reasoning, and generates full forensic reports with a verifiable chain of custody.

Jalil El©
0 0
Autonomous Kubernetes Forensics using OpenCode AI Agent
Autonomous Kubernetes Forensics using OpenCode AI Agent

Autonomous AI-powered incident response too, translates a single natural language prompt into a multi-node Kubernetes cluster forensic investigation, timeline reconstruction, and graph visualization

Sanky Hack
0 0
Spoor — autonomous DFIR you can audit
Spoor — autonomous DFIR you can audit

Autonomous DFIR you can audit — every finding cited to evidence, every action logged in a tamper-evident chain, the evidence provably never touched. Hallucination rate: 0.000.

RECTOR SOL
0 0
dfirskills
dfirskills

A three-layer DFIR system that ingests artifact files, domain agents emit validated forensic claims. Orchestrator performs deterministic extraction with knowledge graph on every node and edge.

Patrick Flanigan
0 0
TRACE
TRACE

A DFIR agent that can't fabricate findings or damage evidence, by architecture. Every claim cites a verified raw-evidence line; no destructive command exists to run

Eienel Eienel
1 0
ClaimGuard
ClaimGuard

An MCP verification layer that makes an AI forensic agent prove every finding against the evidence, or stay silent

Michi Yamamoto
0 0
 Paladin Autonomous Security System
Paladin Autonomous Security System

Paladin is a self-driving cybersecurity platform for threat detection, response, and digital forensics.

Artikul T
0 0

49 – 72 of 118

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