Traditional SBOMs fail for AI. Learn how to generate CycloneDX 1.5 Artificial Intelligence Bill of Materials (AI-BOMs) to track model provenance, licenses, and architecture for EU AI Act compliance.
A deep architectural breakdown of how PIP resolves namespaces and how attackers hijack internal MLOps tools via Dependency Confusion.
How financial institutions can leverage Veritensor to enforce ICT Third-Party Risk Management (TPRM) and secure their AI supply chains under the Digital Operational Resilience Act (DORA).
A deep technical analysis of how attackers exploit Git LFS pointers to substitute legitimate ML models with malicious binaries, and how to cryptographically verify artifact integrity.
Architectural risks of compromising Hugging Face 'Write' tokens. How token leakage leads to the deployment of backdoors (Pickle RCE) within ML artifacts.
A deep architectural analysis of the PyTorch .pt Zip archive format, the myth of safe state_dict loading, and the limitations of weights_only=True.
Technical analysis of Pickle Virtual Machine vulnerabilities, Git LFS pointer manipulation, and enforcing cryptographic integrity for downloaded ML models.
A technical breakdown of how financial institutions can deploy Retrieval-Augmented Generation (RAG) while maintaining continuous threat monitoring and supply chain security mandated by the Digital Operational Resilience Act (DORA).
A deep dive into how committing configuration files leads to direct infrastructure compromise and downstream Supply Chain Attacks via PyPI.
A deep architectural breakdown of how Typosquatting exploits the pip installation lifecycle, utilizing setup.py for zero-click Remote Code Execution (RCE) during dependency resolution.