A vendor-neutral protocol for recording why, by whom, under which policies, scopes, risks, and human-review conditions an AI agent action was authorized, restricted, deferred, or denied.
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Updated
Jul 22, 2026 - Python
A vendor-neutral protocol for recording why, by whom, under which policies, scopes, risks, and human-review conditions an AI agent action was authorized, restricted, deferred, or denied.
TITMAS Evidence Runtime: verifiable execution records and evidence layer for AI agents.
Walkthrough demo for the execution-evidence path in the Digital Biosphere Architecture.
Open execution-evidence schema, simulated fixtures, and validator for AI-agent receipts.
Windows AppCompatCache (ShimCache) forensic analyzer — reads the AppCompatCache value from a SYSTEM hive and r
Background Activity Moderator (BAM/DAM) forensic analyzer — per-user last-execution evidence from the Windows SYSTEM hive. Rust: bam-core reader + bam-forensic analyzer/CLI.
Evidence protocol and benchmark harness for verifying autonomous agent task completion.
UserAssist forensic analyzer — decodes Windows GUI execution evidence (NTUSER.DAT) and flags masquerade/staging anomalies. Rust: userassist-core reader + userassist-forensic analyzer/CLI.
Execution-evidence contract for task runtimes and AI agents.
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