Secure the AI Harness Behind Autonomous Agents
Agent Harness Security protects AI coding agents at runtime, providing visibility, threat detection, and inline enforcement where agents plan, reason, call tools, and take action.
Trusted by Industry Leaders
The AI Harness Is Where Work, and Risk, Happens
AI agents no longer just generate responses; they execute work. An agent harness connects AI agents to memory, tools, files, shell commands, and enterprise systems, enabling them to plan, reason, and take action. As organizations adopt AI coding agents such as Claude Code, Cursor, and GitHub Copilot, the harness itself becomes a new security boundary. The same capabilities that make agents productive also introduce a new and largely invisible attack surface that traditional security tools cannot see. HiddenLayer Agent Harness Security protects these AI coding agents with runtime visibility, threat detection, and inline enforcement purpose-built for AI-assisted software development.
The orchestration layer obscures agent behavior
Agentic harnesses continuously plan, reason, invoke tools, and execute tasks across multiple systems, but most of this activity is invisible to security teams. Without runtime visibility into the full execution flow, organizations cannot see how actions are connected, investigate suspicious behavior, or enforce policies before risky actions occur.
Memory, retrieval, and tools create new attack paths
Modern agentic harnesses introduce indirect threats such as memory poisoning, poisoned retrieval and context, and malicious skill or tool use, allowing attackers to influence agent behavior across entire workflows.
How HiddenLayer Secures Agent Harnesses
Runtime Activity Visibility
Trace agent activity from the initial prompt through execution, providing complete runtime visibility and an auditable record of agent behavior.
Agentic Threat Detection
Detects threats that emerge as coding agents interact with codebases, tools, and external sources. Identify and respond to threats before they become security incidents.
Inline Protection
Block unsafe actions, redact sensitive information, and enforce security policies inline, supported by the underlying coding agent platform.
Platform-Aware Enforcement
Automatically apply the strongest protections supported by each coding agent platform while providing complete transparency into configured and enforced policy actions.
Secure AI Coding Agents Without Slowing Developers Down
Protect AI coding agents with runtime controls that fit naturally into developer workflows.
Gain Complete Runtime Visibility
Understand how AI coding agents interact with repositories, files, tools, shell commands, and enterprise systems.
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Stop Hidden AI Attacks
Detect and block indirect prompt injection before it influences agent behavior.
Protect Source Code and Proprietary Data
Help prevent sensitive code, credentials, and proprietary information from being exposed during AI-assisted development.
Security Built Into the Workflow
Apply inline security controls inside the coding workflow without disrupting how developers work.
Build with Confidence
Adopt AI coding agents securely with governance, auditability, and runtime protection built for enterprise software development.
The Data Backs Us Up
Reduction in exposure to AI exploits
Disclosed through our security research
Issued patents
Learn from the Industry’s AI Security Experts
Research, guidance, and frameworks from the team shaping AI security standards.
Ready to Secure AI Coding Agents?
Protect AI coding agents with runtime visibility, AI-native threat detection, and inline enforcement built for modern software development.