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Launch coincides with RSAC 2025 and introduces Model Genealogy, AIBOM, and enriched runtime telemetry to accelerate secure AI adoption.
HiddenLayer, the leading provider of security for AI models and assets, announced the release of AISec Platform 2.0, the platform with the most context, intelligence, and data for securing AI systems across the entire development and deployment lifecycle. Unveiled ahead of the RSAC Conference 2025, this upgrade introduces advanced capabilities that empower security practitioners with deeper insights, faster response times, and greater control over their AI environments.
The new 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 the proliferation of agentic systems, context is key to driving meaningful security outcomes,” said Chris “Tito” Sestito, CEO and Co-founder of HiddenLayer. “The new AISec Platform delivers the necessary visibility into interoperating AI systems to ensure and enable security across enterprise and government environments.”
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AISec Platform 2.0: Contextual Intelligence for Secure AI at Scale
AISec Platform 2.0 introduces:
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.
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.
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.
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.
Empowering Security Teams and Accelerating Safe AI Adoption
With AISec Platform 2.0, HiddenLayer empowers security teams to:
Accelerate model development by reducing the time from experimentation to production from months to weeks.
Gain full visibility into how and where AI models are being used, by whom, and with what level of access.
Automate model governance and enforcement through white-glove policy recommendations and telemetry-driven enforcement tools.
Deploy AI with confidence, transforming it from a high-risk initiative into a scalable, secure enterprise function.
Built for the Future of AI Security
AISec Platform 2.0 also lays the foundation for a new generation of AI threat detection and response. With integrated support for agentic systems, external threat intelligence, and deployment observability, HiddenLayer enables organizations to stay ahead of emerging risks while empowering security and AI teams to collaborate more effectively.
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