See what each agent can reach
Map supported application dependencies and tool connections, plus coding agents, skills, and MCP servers on managed workstations.
AI agent governance
Know your agents. Test their boundaries. Verify your controls.
See the agents, tools, and data in scope. Challenge the behavior your policies prohibit, apply controls where Repello is connected, and give reviewers evidence of what happened.
The challenge
An approved agent can change tomorrow
Prompts, tools, MCP connections, and agent configurations evolve across applications and employee workstations. A one-time review cannot show whether the current workflow still respects its boundaries or whether a runtime policy acted when it mattered.
The Repello approach
Inventory maps supported applications and their dependencies; Workstation Lens discovers supported coding agents and components on managed devices. ARTEMIS tests behavior in connected applications. ARGUS and Workstation Lens enforce configured policies at their supported runtime points, with findings and events available for review.
How Repello helps
Test the boundary before rollout
Use ARTEMIS to probe prompt injection, sensitive-data disclosure, and unsafe tool use in connected application workflows.
Apply controls where agents operate
Use ARGUS for connected application interactions and Workstation Lens for covered actions in supported device sessions.
Give every decision its context
Review the relevant asset, attack path, or policy event. Distinguish a detected risk from an action that was actually blocked.
What Repello gives your team
Keep oversight useful as agents evolve
Answer the security questions that come up before deployment, after a change, and during an investigation.
Before an agent goes live
- Identify its supported data sources, tools, and connections.
- Test what it might reveal or do outside the intended task.
- Give the owner a concrete attack path and mitigation guidance.
After the workflow changes
- Revisit the inventory and retest changed prompts, tools, or configurations.
- Inspect current policy events and confirm whether an attempt was flagged or blocked.
- Provide technical evidence for security and risk reviews without replacing their decisions.
Framework context
Use established guidance to structure the review
Frame agent risks, describe attack paths, and organize governance questions with recognized AI security guidance. Repello supplies technical evidence, not a compliance verdict.
OWASP Top 10 for Agentic Applications 2026
Frame agent-specific security risks.
MITRE ATLAS
Describe adversary tactics and techniques involving AI systems.
NIST AI Risk Management Framework
Structure governance and risk-management reviews.
These references guide a review; they are not certifications. Repello does not assess your entire AI governance program or determine legal compliance.
Frequently asked questions
Questions security and risk teams ask.
Which agents can Repello bring into scope?
Inventory maps supported AI applications and their model, data, and tool connections. Workstation Lens discovers supported coding agents, skills, and MCP servers on managed employee devices. Coverage depends on the connector, agent, operating system, and deployment in use; Repello does not automatically inventory every third-party AI service.
How do we turn an AI policy into a control?
Start with a specific prohibited behavior, such as exposing protected data or using an unapproved tool. Test it with ARTEMIS in a supported application, then configure an ARGUS policy for the connected interaction or a Workstation Lens rule for a covered device action.
What should we review when an agent changes?
Recheck its current data and tool connections, scan supported workstation components, and rerun relevant ARTEMIS tests when prompts, tools, or configuration change. Review runtime events to see how active policies responded; a past approval is not evidence that the new version is safe.
What evidence can security and risk teams review?
Inventory provides supported asset relationships; ARTEMIS shows attack findings and mitigation guidance; ARGUS and Workstation Lens record relevant runtime activity and policy decisions. Review these records together to understand what was in scope, tested, observed, and enforced.
How can we verify that a prohibited action was blocked?
Review the attempted action and the blocked outcome in its policy event. A scan finding, red-team result, or alert identifies a risk, but none alone proves that a live action was stopped.
Does Repello replace our GRC or approval process?
No. Repello supplies technical visibility, testing, runtime controls, and evidence. Your teams still own risk acceptance, approvals, legal interpretation, and the organization's control record.
Does Repello evidence satisfy a framework or certify AI compliance?
No. Repello provides technical evidence that can support reviews against guidance such as OWASP, MITRE ATLAS, and NIST AI RMF. ISO/IEC 42001 addresses an organization-wide AI management system. Certification and compliance decisions require assessment of your broader program and controls.
See Repello in action
Put an agent policy to the test.
Bring an agent, a rule it must follow, and the evidence gap you need to close. See where Repello can discover its connections, test the boundary, and show a supported runtime decision.