Secure AI Coding Agents - Guardrails for Code Agents
A coding agent runs commands, edits files, and calls tools with real credentials. Scope what it can touch, gate the dangerous actions, and log every move.
Direct answer
Securing AI coding agents means constraining what an autonomous code agent can do, since it executes commands, modifies files, and calls APIs with real access. Agentshield enforces least-privilege permissions on a coding agent, so it can only touch the repos, files, and tools you allow; it holds destructive actions such as force-pushes, deletes, or production deploys for human approval; and it records every command and change in an immutable audit trail. The agent stays useful without becoming a way to run arbitrary code against your systems.
Try it live
Watch Agentshield block an attack in real time.
Pick a scenario and drive the inspection lane yourself. No signup needed.
Run a request
Inspection lane
INSPECTINGPolicy trace
High-risk action held for approval
Audit trail
- § · → → →
The risk
A coding agent that is prompt-injected or simply wrong can run a destructive command, leak a secret from the environment, or push bad code straight to production.
How Agentshield handles it
Agentshield scopes the coding agent to specific repositories, paths, and tools, denying anything outside that scope. It inspects inputs and tool outputs for injection, holds high-impact actions behind a human gate, applies data-loss prevention so secrets in the environment cannot be exfiltrated, and logs every command and file change for review.
The controls