Launch coincides with RSAC 2025 and introduces Model Genealogy, AIBOM, and enriched runtime telemetry to accelerate secure AI adoption.
HiddenLayer, the leader in securing artificial intelligence models and digital assets, announced the launch of AISec Platform 2.0—a significant upgrade to its flagship platform, offering the most robust context, intelligence, and data available for safeguarding AI systems throughout their entire development and deployment lifecycle.
Unveiled ahead of the 2025 RSA Conference, AISec Platform 2.0 introduces powerful new capabilities designed to help security professionals gain deeper insights, respond to threats more quickly, and maintain greater oversight over increasingly complex AI environments.
This latest version introduces two groundbreaking features—Model Genealogy and the AI Bill of Materials (AIBOM)—further expanding the platform’s capabilities in observability, compliance, and policy-based threat management. With these additions, HiddenLayer reinforces its leadership in the AI security space, delivering continuous protection 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.”
AISec Platform 2.0: Designed for Secure, Scalable AI
The latest release introduces a suite of advanced features aimed at providing contextual intelligence and seamless governance for AI at scale:
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Model Genealogy – Offers complete traceability into the evolution of AI models, detailing training sources, fine-tuning steps, and modifications over time. This feature enhances transparency, supports regulatory compliance, and improves threat detection accuracy.
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AI Bill of Materials (AIBOM) – Automatically generated for each scanned model, AIBOM delivers an exportable, industry-standard inventory of all components, datasets, and dependencies. This empowers organizations to assess supply chain vulnerabilities, enforce licensing requirements, and meet audit and compliance mandates.
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Enhanced Threat Intelligence & Community Insights – Leverages data from trusted public repositories like Hugging Face, enriched with expert analysis and peer-contributed insights. This provides organizations with real-time visibility into emerging machine learning threats.
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Red Teaming & Telemetry Dashboards – Upgraded dashboards offer deeper runtime observability and incident response tools. Teams gain actionable insights into prompt injection attacks, misuse patterns, and agent-driven behaviors.
Also Read: Endace Integrates with Microsoft Sentinel for Deep Network Visibility
Empowering Security Teams to Safely Scale AI
With AISec Platform 2.0, HiddenLayer delivers tangible benefits to security and AI teams alike:
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Accelerated AI model development, shrinking the timeline from experimentation to production from months to weeks.
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Complete visibility into model usage, including who is accessing models, where they’re deployed, and how they’re being used.
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Automated governance and policy enforcement, driven by intelligent recommendations and telemetry-backed controls.
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Confidence in secure AI deployment, enabling organizations to transform AI from a risk-prone initiative into a secure, scalable business asset.
Built to Protect the Future of AI
AISec Platform 2.0 positions HiddenLayer at the forefront of AI threat detection and response. With built-in support for agentic systems, integration of external threat intelligence, and comprehensive deployment observability, the platform empowers teams to stay ahead of evolving risks and fosters collaboration between cybersecurity and AI stakeholders.
