HiddenLayer: What to Know About AI Model Security and Its Technology

HiddenLayer: Securing the AI Model Era: As businesses deploy more AI models, cybersecurity is moving beyond traditional software protection. HiddenLayer focuses specifically on securing AI models, workflows, and agents against emerging threats. Its platform provides visibility, protection, and governance across the AI lifecycle.

Why AI Models Need Security: AI models can contain vulnerabilities, malicious modifications, and hidden components that traditional security tools may miss. HiddenLayer says conventional application-security approaches are not designed to fully understand neural networks. This creates a new security challenge as organizations increasingly rely on third-party and open-source models.

AI Supply Chain Security: HiddenLayer scans AI models before organizations deploy them into production environments. Its technology can inspect model architectures, layers, weights, and other artifacts for tampering or anomalies. It also tracks model genealogy, helping organizations understand where models came from and how they were derived.

AI Discovery: The platform identifies AI assets across an organization's environment, including potentially unapproved or “shadow AI” deployments. This gives security teams visibility into models and AI workflows that may otherwise remain difficult to track. That visibility can support stronger governance and risk management.

Runtime AI Protection: Security does not end when an AI model reaches production. HiddenLayer's runtime security technology detects and responds to AI attacks while systems are operating. Its platform targets threats including prompt attacks, model extraction, unauthorized tool usage, and data leakage.

Red Teaming AI Systems: HiddenLayer also offers AI attack simulation to test systems against evolving threats. Red-teaming can expose weaknesses before attackers find them in real-world environments. The goal is to strengthen AI resilience by continuously testing models, applications and agentic systems.

Governance and AI Guardrails: AI security also requires rules governing how models behave and how they are used. HiddenLayer provides governance controls and AI guardrails intended to enforce safer, policy-aligned behavior. Organizations can use these capabilities to manage risk across models and business units.

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