With AI models now core to enterprise innovation and digital transformation, ensuring their security has never been more critical. HiddenLayer, a leader in AI cybersecurity, has announced AISec Platform 2.0, setting a new industry benchmark in protecting AI models and assets. Released ahead of the 2025 RSA Conference, this version delivers greater context, deeper intelligence, and enhanced automation to help security teams manage AI risk at every stage—from development to deployment.
AISec Platform 2.0: Innovations for AI Protection
1. Model Genealogy: Enhancing AI Model Explainability and Security
- Tracks model origin, training datasets, fine-tuning iterations, and modifications.
- Enables forensic traceability for better risk management, auditing, and compliance.
- Supports secure and responsible AI deployment in regulated industries.
2. AI Bill of Materials (AIBOM): Visibility into Model Components
- Auto-generates a machine-readable inventory of datasets, libraries, and dependencies.
- Facilitates supply chain risk detection and enforces license and usage policies.
- Enables organizations to meet regulatory demands for AI transparency.
3. Community-Driven Threat Intelligence
- Aggregates data from public AI model repositories (e.g., Hugging Face).
- Enriches threat insights through expert analysis and peer community inputs.
- Offers real-time detection of novel vulnerabilities and misuse scenarios.
4. Advanced Dashboards and Red Teaming
- Provides security teams with deeper telemetry and incident response tools.
- Detects anomalies including prompt injection, agentic misuse, and unauthorized access.
- Empowers red teaming with contextual runtime analytics for AI environments.
Impact for Security and AI Teams
1. Faster Time-to-Production
- Cuts down model development timelines from months to weeks through risk-aware automation.
- Promotes continuous integration and deployment (CI/CD) for AI.
2. End-to-End AI Asset Visibility
- Reveals who is using each model, how, and with what levels of access.
- Tracks model movement and interactions across cloud and on-premise environments.
3. Automated Governance and Enforcement
- Utilizes policy-based automation to enforce AI usage controls and ensure compliance.
- Offers tailored security recommendations based on model risk profiles and telemetry data.
4. Secure and Scalable AI Deployment
- Transforms AI from a potential liability into a scalable, secured enterprise asset.
- Bridges the gap between data science and security operations with shared visibility and tooling.
Built for the Future of AI Threat Management
AISec Platform 2.0 positions HiddenLayer as a pivotal player in the emerging AI security stack. With features purpose-built for agentic systems and integration with third-party threat intelligence, the platform not only protects today’s AI but also lays a strong foundation for countering future risks. Whether in government, finance, healthcare, or tech, organizations can now deploy AI with speed and confidence—without compromising on security.
