HiddenLayer AI Guardrails

What HiddenLayer AI Guardrails is

HiddenLayer AI Guardrails applies safety, compliance, and policy boundaries to LLMs, agents, and AI applications. It can control for toxicity, bias, regulatory restrictions, prompt injection, data leakage, and sensitive information exposure. Its data protections detect and prevent PII, PHI, and proprietary data from appearing in generated content. The platform also inspects MCP and framework traffic, with real-time threat detection and prompt-injection blocking.

The product is model-agnostic and agentless, requires no training data, and is designed to work across architectures without exposing intellectual property, model weights, prompts, or customer data. Its wider lifecycle coverage includes AI Discovery, AI Supply Chain Security, AI Attack Simulation, and AI Runtime Security. Native connectors include GitHub Actions, Splunk, Microsoft Sentinel, JFrog Artifactory, Databricks Unity Catalog, Hugging Face gated repositories, AI gateways, and webhooks. AWS support covers Bedrock models and agents, SageMaker models and serving endpoints, and Bedrock AgentCore agents using AWS Strands.

Deployment options include cloud, on-premise, and hybrid environments, as well as AWS, Microsoft Azure, and Google Cloud marketplaces. HiddenLayer was founded in March 2022 by security and machine-learning professionals and is based in Austin, Texas. The listed HiddenLayer AI Security Platform plan is $5,000,000 a year on a 12-month contract; pricing is also available on request, and additional AWS infrastructure costs may apply. Prospective customers can request a demo.

Who it suits

HiddenLayer AI Guardrails suits enterprises and government organizations that need policy controls across LLMs, agents, or AI applications. It may fit teams that need data exposure protections, MCP traffic inspection, AWS support, or deployment across cloud, on-premise, and hybrid environments.

Limits

The listed HiddenLayer AI Security Platform plan costs $5,000,000 a year on a 12-month contract. Additional AWS infrastructure costs may apply.

Getting started

1. Visit the HiddenLayer AI Guardrails website.
2. Request a demo through the product page.
3. Discuss pricing on request and the listed 12-month platform plan.
4. Choose a deployment environment: cloud, on-premise, or hybrid.
5. Consider availability through AWS, Microsoft Azure, or Google Cloud marketplaces. The service also lists self-hosted and web platforms.

Verdict

Choose HiddenLayer AI Guardrails if your organization needs safeguards spanning AI content, MCP traffic, and the wider AI lifecycle, with deployment across varied architectures. The listed plan is a 12-month contract at $5,000,000 a year, so organizations seeking a lower-cost or self-serve option should look elsewhere.