Build AI Agents and Applications Fast and Securely
Secure AI applications and AI coding agents with visibility, detection, and runtime protection across the AI lifecycle from development through production.


Trusted by Industry Leaders


Developers face a rapidly expanding AI attack surface
Developers today aren’t just building AI applications — they’re increasingly relying on AI coding agents and autonomous workflows that read files, call tools, execute commands, and interact with enterprise systems. While these capabilities accelerate development, they also introduce new runtime risks that traditional application security tools cannot see or control.
AI agents can take actions users never intended
Coding agents can read sensitive files, execute shell commands, install dependencies, or expose credentials. Organizations need runtime controls that detect, shape, and stop unsafe behavior before it creates risk.
Memory, retrieval, and tools create new attack paths
Modern agent harnesses introduce new indirect threats including memory poisoning, poisoned retrieval and context, and malicious skill or tool use. These attacks can persist across sessions, influence agent decisions, or trigger unsafe actions unless monitored and controlled at runtime.
Enterprise grade AI security built for developers
Secure AI Across the Entire Development Lifecycle
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
Protect coding agents at runtime
Secure agent harnesses and gain runtime visibility, detect threats, and enforce inline protections across AI applications, coding agents, and agentic workflows.

What developers gain with HiddenLayer
Build AI faster
Secure AI throughout the development lifecycle without slowing innovation.
Reduce AI risk early
Discover AI assets, secure models, and continuously test AI systems before deployment.
Protect AI at Runtime
Detect threats and enforce inline protections across AI applications, coding agents, and agentic workflows.
Integrate with Ease
Flexible deployment through APIs, gateways, SDKs, or lightweight on-device integrations.
Learn from the Industry’s AI Security Experts
Research, guidance, and frameworks from the team shaping AI security standards.
Ready to secure autonomous AI
Protect every agent, tool use, and memory interaction with real time enforcement.


