Build AI Apps With Security Embedded
Detect attacks, enforce safety rules, and protect models without slowing development.


Trusted by Industry Leaders


Application Developer's Challenges With Securing AI
Developers face four unsolved AI security risks
Attacks, unsafe outputs, untrusted models, and no testing standard.
No way to see or secure all AI endpoints
AI is embedded everywhere but visibility is fragmented.
Enterprise grade AI security built for developers
Each module removes a major source of development risk.
01
Eliminate blind spots across all AI powered services
Automatically identify every AI endpoint, model, and workflow across development and production.

02
Only deploy models you can trust
Scan model files and URLs for malware, CVEs, backdoors, and integrity issues before deployment.

03
Continuously test against real world attacks
Red team your AI with real attack techniques before users or attackers find failures.

04
Enforce protection while your AI is running
Monitor prompts, outputs, memory, and tool usage in real time with automatic blocking.

What developers gain with HiddenLayer
Ship faster with built in security
No model changes required.
Prevent unsafe AI behavior
Guardrails enforced automatically.
Catch failures early
Continuous red teaming before users find issues.
Simple integration
API, proxy, or SDK based deployment.
Learn from the Industry’s AI Security Experts
Research, guidance, and frameworks from the team shaping AI security standards.
Secure your AI powered applications
Add discovery, scanning, testing, and runtime defense with one integration.


