Repello
Repello provides an AI security platform that protects enterprises from threats introduced by AI agents running on employee workstations and in production environments. Its Workstation Lens product monitors tools like Claude Code, Cursor, and Copilot, blocking unsafe actions in real time and pushing fixes through existing EDR and MDM infrastructure. The platform also includes AI inventory, autonomous red teaming, and adaptive guardrails.
- Cybersecurity
- Artificial Intelligence
- Software Only
- AI Agents
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
AI agents running on employee workstations can read sensitive files, access credentials, execute commands, and transmit data outside the company without security teams seeing what caused it. Traditional endpoint security lacks visibility into agent behavior, leaving enterprises exposed to data exfiltration and unauthorized actions.
Solution
Repello's Workstation Lens provides AI agent security for employee workstations by monitoring what Claude Code, Cursor, Codex, Copilot, and browser agents access, which commands they run, and where they send data. The product discovers unmanaged agents, blocks unsafe actions in real time, and pushes fixes to every affected device through the EDR and MDM tools organizations already use. Security teams gain a complete view of agent activity—what agents employees run, what they load, how they change, and where they connect—while keeping all scanning, findings, and remediation within infrastructure the organization controls. The platform also includes Inventory for unified AI system tracking, ARTEMIS for autonomous red teaming, and ARGUS for adaptive guardrails, all following a 3-phase framework where discovery feeds continuous testing, testing calibrates runtime defenses, and runtime insights improve future testing.
Target Audience
Primary customers are enterprise security teams and IT departments that deploy AI coding assistants and browser agents across employee workstations and need visibility into agent behavior, data access, and exfiltration risks.
Features
- Real-time detection and blocking of credential access, unsafe commands, and unknown outbound connections before execution
- Fleet-wide remediation that removes, updates, or blocks unsafe agent configurations across every affected employee device in a single action
- Deployment and enforcement through existing EDR and MDM infrastructure, eliminating the need for new security tooling
- On-prem security architecture that keeps scanning, findings, and remediation within organization-controlled infrastructure
- Part of a 3-phase AI security framework where discovery feeds continuous testing, testing calibrates runtime defenses, and runtime insights improve future testing
- Complements platform products: Inventory for unified AI system tracking, ARTEMIS for autonomous red teaming, and ARGUS for adaptive guardrails