Your AI coding agents can access secrets, modify infrastructure, and push code — with zero oversight. AgentGuard gives engineering teams real-time visibility and policy control over every action.
Works with every major AI coding agent
AI coding agents run with broad permissions. They read secrets, modify databases, push to production — and nobody reviews their actions until something breaks.
Agents read .env files, API keys, and database credentials. One hallucinated curl command can leak production secrets to a third-party API.
Agents execute shell commands with full user privileges. rm -rf, database drops, and force-pushes happen without human review.
When an agent modifies infrastructure at 2 AM, there's no record of what happened, why it happened, or who approved it. Good luck with your SOC 2 audit.
AgentGuard sits between your AI agents and your infrastructure. Every action is logged, evaluated against your policies, and either allowed, flagged, or blocked — in under 12ms.
Lightweight SDK wraps your agent's tool calls. File reads, shell commands, API calls, git operations — every action flows through AgentGuard before execution.
Actions are checked against your policy engine in real time. Define rules in YAML or use pre-built templates — block destructive commands, require approval for sensitive files.
Safe actions pass through instantly. Risky actions get blocked or routed to a human for approval. Every decision is logged with full context for audit trails.
rules:
- name: "Block destructive shell commands"
match:
tool: "bash"
pattern: "rm -rf|DROP TABLE|--force"
action: block
- name: "Require approval for secrets"
match:
tool: "read_file"
pattern: "*.env*|*credentials*|*secret*"
action: require_approvalFour capabilities that give you complete oversight without slowing down your engineering team.
See every file read, shell command, API call, and git operation as it happens. Filter by agent, repository, risk level, or developer. Full context for every action — including the prompt that triggered it.
Write policies in YAML that match on tool, file pattern, command, or content. Block, flag, or require human approval. Ship with 15+ pre-built templates covering OWASP, SOC 2, and internal security baselines.
Sensitive actions pause and wait for human approval via Slack or the AgentGuard dashboard. Set per-team, per-repo, or per-agent rules. Approvals auto-expire if not acted on within your configured window.
Every agent action is recorded with immutable, timestamped audit logs. Export to your SIEM, generate compliance reports for SOC 2 and ISO 27001 audits, and prove exactly what your AI agents did — and didn't — do.
"We gave Claude Code access to our staging infra and within a week it had read every secret in our vault. AgentGuard would have caught that on action one."
"The policy engine is exactly right. YAML rules that evaluate in milliseconds, not another ML model deciding what's 'safe.' Deterministic security for non-deterministic agents."
"Our SOC 2 auditor asked how we govern AI agent access. The answer was 'we don't.' AgentGuard was the fastest path to having a real answer."
Start free for 14 days. No credit card required. Pay only for what you use.
For engineering teams adopting AI agents
For organizations with compliance requirements
Volume discounts for 50+ developers
AgentGuard provides lightweight SDKs that wrap your agent's tool calls — file operations, shell commands, API calls, and git operations. The SDK adds less than 12ms of latency per action. For Claude Code, it's a single line in your MCP config. For Cursor and Copilot, we provide IDE extensions.
Policy evaluation runs in under 12ms median. For allowed actions, you won't notice any latency. For blocked or flagged actions, the agent receives a clear error message explaining why the action was denied and what alternative is available.
AgentGuard ships with policy templates for SOC 2 Type II, ISO 27001, HIPAA, and PCI DSS. Our audit logs are immutable, timestamped, and exportable — exactly what auditors want to see when they ask "how do you govern AI agent access?"
Yes. Policies are defined in YAML and can match on tool type, file pattern, command content, time of day, repository, or developer. You can block, allow, flag for review, or route to a human approver. Policies are version-controlled and testable.
Most teams are monitoring agent actions within 15 minutes. Install the SDK, connect your policy file, and start seeing live data. No infrastructure to deploy — AgentGuard runs as a hosted service with an on-prem option for Enterprise customers.
14-day free trial. No credit card. Setup in 15 minutes.
See every action your AI agents take — before it becomes an incident.