Core Scanner Capabilities
AI Usage Signal Detection
Scans project files for AI dependencies (e.g. OpenAI SDK, LangChain, PyTorch) and high-dimensional vector databases (e.g. Pinecone, ChromaDB).
Evidence Candidate Export
Converts raw code scanner findings into standard structural evidence export candidates using ecosystem schema specifications.
Review Workflow Orchestration
Classifies missing evidence gaps, generates actionable auditor questions, and routes results to designated governance review lanes.
Export Readiness Model
Computes overall compliance scores. Enforces a strict 70% readiness capping rule when critical evidence gaps remain unresolved.
Offline Evidence Export Pack
Compiles findings, readiness metrics, manifests, and signatures into a unified offline bundle protected by deterministically mapped SHA-256 hashes.
Granular Traversal & Scope Control
Parses local .caesarignore glob patterns and configuration files, halt recursing directories progressively to optimize filesystem access.
Interactive Scan Dashboard
Browse live, offline scan data parsed directly from the fixture sample project outputs.
// Loading static compliance data...
-📋 Compliance Policy & Legal Disclaimers
Findings are Signals: The detection outcomes presented here indicate static-analysis matches (e.g. library imports, prompt files) and do not represent a final legal or regulatory determination of compliance status.
No Automated Ingestion: By default, this offline prototype executes zero automatic database writing, cloud synchronization, or ingestion into caesar-ai-evidence / Governance OS. Ingestion requires explicit, cryptographic human sign-off.
Safe Demo Environment: All demonstrated artifacts represent synthetically configured test environments. No real customer source code, credentials, or proprietary files are uploaded or hosted.