Detect ML supply‑chain malware in PyTorch Lightning environments

Detect ML supply‑chain malware in PyTorch Lightning environments targets a $25.0B = 250,000 organizations x $100K average annual security/DevSecOps spend relevant to ML and developer tooling total addressable market with medium saturation and a year-over-year growth rate of 18% - rapid growth for software supply-chain and ML security segments.

Key trends driving demand: ML proliferation -- more orgs reuse community models and packages, increasing attack surface for ML-specific supply-chain attacks.; Software SBOM & supply-chain rules -- regulation and procurement now demand provenance and tooling, increasing buyer pull.; AI-assisted code analysis -- LLMs and AST models make accurate static/dynamic malware pattern detection more practical at scale.; Shift-left security -- dev teams demand developer-friendly, CI-integrated security tools rather than ops-only solutions..