Repello provides Workstation Lens, an AI agent security platform that gives enterprises visibility into what Claude Code, Cursor, Codex, Copilot, and browser agents access on employee devices. The solution monitors agent actions, blocks unsafe behavior in real time, and pushes fixes across the fleet through existing EDR and MDM tools, with on-prem deployment options for organizations that need to keep scanning and findings within their own infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
AI coding and browser agents such as Claude Code, Cursor, Codex, and Copilot can read sensitive files, use stored credentials, run arbitrary commands, and send data outside the company without security teams seeing what caused the action. Traditional endpoint security tools lack visibility into agent behavior, leaving organizations exposed to data exfiltration and credential theft from AI-driven workflows.
Solution
Repello's Workstation Lens provides continuous visibility into AI agent activity on employee workstations, showing which agents are running, what files they load, which commands they execute, and where they send data. The platform detects credential access, unsafe commands, and unknown outbound connections before execution, blocking risky behavior in real time. When issues are identified, security teams can push fixes—such as removing, updating, or blocking unsafe configurations—across every affected device through the EDR and MDM tools already in place. Workstation Lens can be deployed on-premises, keeping all scanning, findings, and remediation within infrastructure the organization controls. The product is part of Repello's broader three-phase AI security framework that connects discovery, adversarial testing, and runtime protection across the AI environment.
Target Audience
Primary customers are enterprise security teams and CISOs deploying generative AI tools across their workforce who need visibility and control over AI agent activity on employee devices.
Features
- Real-time monitoring of AI agent actions including file access, command execution, and outbound data connections
- Pre-execution blocking of credential access, unsafe commands, and unknown network destinations
- Fleet-wide remediation that pushes configuration fixes to all affected devices through existing EDR and MDM infrastructure
- On-prem deployment option that keeps scanning, findings, and remediation within organization-controlled infrastructure
- Discovery of unmanaged AI agents running on employee workstations
- Integration with the broader Repello platform including AI inventory, autonomous red teaming, and adaptive guardrails