Cursor AI security

Protect repositories using IDE-native AI agents.

Cursor-style coding agents live close to source code. That proximity is useful, but it also means sensitive files, Git actions, terminal commands, and repo-specific policy need a real control plane.

IDE proximity changes the risk

An IDE-native assistant can see context developers would never paste into a chat window. That makes data protection and scoped permissions especially important: protected files, private keys, auth code, payment logic, and infrastructure config should not be treated as ordinary autocomplete context.

Controls for Cursor-style workflows

  • Repo-level policy for sensitive folders and protected branches.
  • Secret detection and redaction before logs, reports, or model/tool exposure.
  • Approval workflows for auth, payment, infra, CI/CD, and migration changes.
  • Audit logs tying IDE actions back to an agent identity and session.
  • Network allowlists for package managers, model endpoints, and tool calls.

What Securie is building

AgentGuard starts with the coding-agent runtime wedge: identity, policy, data guard, action guard, approvals, and audit around agent sessions. The long-term platform expands beyond IDE agents into CI/CD, cloud, databases, browsers, SaaS tools, and enterprise agent identity.

Secure the IDE agent path before it becomes production access.

Read the identity model