Immutable checkpoint storage for ML training pipelines. Kernel-level protection, anomaly detection, score-gated rollback, and self-healing recovery. Built in Rust.

Static analysis and integrity verification for GGUF model files

Practical guardrails against silent GPU-side model corruption

Live-state attestation and drift detection for secure AI inference runtimes

Model integrity and provenance verification for LLMs and AI models. Generate, verify, and cryptographically secure your model artifacts.

Detect and defend against AI model poisoning attacks on ML training data

Blockchain-based ML model and file integrity verification using SHA-256, Proof-of-Work, and IPFS via Pinata