HiddenLayer AI Runtime Security review
A security-focused runtime layer for monitoring and controlling production AI activity.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
HiddenLayer AI Runtime Security is designed for enterprises operating AI applications, agents, and agentic workflows in production. It monitors runtime activity and detects prompt injection, indirect attacks, jailbreak attempts, unsafe agent behavior, malicious tool use, and sensitive-data exposure. Security teams can use it to apply inline blocking, redaction, and policy enforcement, while AI coding agents can receive lightweight, on-device protection. Python, TypeScript, and JavaScript are supported for SDK-based work.
Its strongest fit is the combination of runtime visibility and security operations workflows. The product can reconstruct agent workflows for investigation and integrate with SIEM and SOAR processes, giving security teams a path from detection to response. It also connects with TrueFoundry AI Gateway, OpenAI, Anthropic, Google Gemini, Azure Foundry, AWS Bedrock, Mistral, Llama, Databricks Foundation Model API, and AWS SageMaker. Hybrid deployment supports SaaS, on-premises, and air-gapped environments across the broader platform, which suits organizations with varied infrastructure requirements.
Pricing follows a contact-sales model, so evaluation begins through a demo or sales conversation rather than a self-serve tier. The published product scope centers on enterprise runtime protection, policy enforcement, investigation, and ecosystem integration instead of open-source deployment. Choose HiddenLayer AI Runtime Security if your team needs continuous oversight across models, gateways, agents, and security operations. A narrower monitoring tool may be a better fit for teams that do not need policy enforcement, workflow reconstruction, or enterprise deployment flexibility.
HiddenLayer AI Runtime Security pros and cons
- Where it wins
- Continuous visibility across AI applications, agents, and workflows
- Detects injection, jailbreaks, sensitive data, and unsafe tool use
- Hybrid deployment with SIEM, SOAR, model, and gateway integrations
- Where it doesn't
- Pricing requires a contact-sales process
- The product is proprietary rather than open source
- Its enterprise security focus may exceed simpler AI monitoring needs
HiddenLayer AI Runtime Security fact sheet, pricing and score →
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