> Traditional LLM + forensics tools are dangerous — models can run rm -rf if prompted badly, hallucinate evidence, and skip critical analysis steps. Prompt-based safety isn't enough for incident response where evidence integrity is everything.
>
> SIFT-Agent fixes this with three layers:
>
> 1. Architectural Enforcement — A custom MCP Server wraps 15 SIFT tools (Volatility3, YARA, SleuthKit, tshark) behind a type-safe layer. Destructive commands don't exist in the tool registry — they're physically impossible to execute, not just "please don't."
>
> 2. Self-Correction Loop — 7 validation rules detect forensic gaps (missed network analysis, no timeline, unverified hashes). The agent autonomously re-runs missing steps until the triage is complete. In testing, 60% of gaps were auto-closed without human intervention.
>
> 3. Immutable Audit Trail — Every tool invocation logged with millisecond timestamps and exit codes in JSONL format. 28 audit entries in a 5-minute demo, fully traceable.
>
> Built in Python using Protocol SIFT's analysis framework. 14/14 tests passing, all 5 demo scenarios verified on a live SIFT Workstation.
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