HiddenLayer AI Runtime Security

What HiddenLayer AI Runtime Security is

HiddenLayer AI Runtime Security protects AI applications, agents, and agentic workflows in production through runtime visibility, threat detection, and policy-based enforcement. It detects and investigates prompt injection, unsafe agent behavior, sensitive data exposure, malicious tool use, and other runtime threats. Depending on policy and platform capabilities, it can block or redact unsafe actions and sensitive information. Teams can reconstruct agent interactions across tools, data, and workflows, then search across sessions and execution paths during investigations. Deployment options include APIs, gateways, SDKs, and lightweight on-device integrations. Agent integrations listed include LangChain, LiteLLM, the OpenAI Agents SDK, AWS Strands, and TrueFoundry’s gateway; AWS coverage includes Bedrock models and agents, SageMaker models and serving endpoints, and Bedrock AgentCore agents using AWS Strands. Coding-agent protection extends the product with an on-device integration, but enforcement depends on the underlying platform, and the product reports which controls are active and supported. Detections and enforcement events can feed existing SIEM, SOAR, and security operations workflows. Pricing is on request, and the product page directs prospective customers to request a demo.