HiddenLayer AI Runtime Security vs Radware LLM Firewall

HiddenLayer AI Runtime Security protects AI applications, agents, and agentic workflows during production operation. It provides runtime visibility, detects threats such as prompt injection, unsafe agent behavior, sensitive data exposure, and malicious tool use, and can block or redact actions under policy and platform capabilities. Teams can reconstruct agent sessions and search across tools, data, workflows, and execution paths. Deployment options include APIs, gateways, SDKs, and lightweight on-device integrations. Agent integrations include LangChain, LiteLLM, the OpenAI Agents SDK, AWS Strands, and TrueFoundry’s gateway. AWS coverage includes Bedrock models and agents, SageMaker models and endpoints, and Bedrock AgentCore agents using AWS Strands. Runtime events can feed SIEM, SOAR, and security operations workflows. Coding-agent protection uses an on-device integration, but available enforcement depends on the underlying platform. SDK languages listed are Python, TypeScript, and JavaScript. Pricing is available on request through a demo request. HiddenLayer was founded in 2022 and is based in Austin, Texas.

Radware LLM Firewall has no write-up on Specifiction yet; its figures are above.