HiddenLayer released AISec Platform 2.0, the platform with the most context, intelligence, and data for securing AI systems across the entire development and deployment lifecycle. Tnew release includes Model Genealogy and AI Bill of Materials (AIBOM), expanding the platform’s observability and policy-driven threat management capabilities. With AISec Platform 2.0, HiddenLayer is establishing a new benchmark in AI security where rich context, actionable telemetry, and automation converge to enable continuous protection of AI assets from development to production. With AISec Platform 2.0, HiddenLayer empowers security teams to Accelerate model development, Gain full visibility, Automate model governance and enforcement and Deploy AI with confidence. AISec Platform 2.0 introduces: 1) Model Genealogy: Unveils the lineage and pedigree of AI models to track how they were trained, fine-tuned, and modified over time, enhancing explainability, compliance, and threat identification. 2) AI Bill of Materials (AIBOM): Automatically generated for every scanned model, AIBOM provides an auditable inventory of model components, datasets, and dependencies. Exported in an industry-standard format, it enables organizations to trace supply chain risk, enforce licensing policies, and meet regulatory compliance requirements. 3) Enhanced Threat Intelligence & Community Insights: Aggregates data from public sources like Hugging Face, enriched with expert analysis and community insights, to deliver actionable intelligence on emerging machine learning security risks. 4) Red Teaming & Telemetry Dashboards: Updated dashboards enable deeper runtime analysis and incident response across model environments, offering better visibility into prompt injection attempts, misuse patterns, and agentic behaviors.