Keep AI Agents
Under Control
Prove that agents stay inside their authority when attackers manipulate context, tools, memory, and workflows in production.
Agents Turn Prompts Into Actions
Agents retrieve data, call tools, invoke APIs, and execute workflows. That makes every permission a potential attack path. Output filtering alone cannot prove an agent will stay within its intended authority.
Map Then Attack The Boundaries
Mindgard discovers agent capabilities, reconstructs reachable attack paths, and probes the controls around them. It tests whether direct or indirect manipulation can trigger unauthorized actions, access, or escalation in production.
Prove Governance Under Pressure
Policies matter only when attacks fail. Mindgard verifies whether guardrails, gateways, and application controls stop goal hijacking, prompt injection, tool abuse, and out-of-scope behavior across realistic multi-stage attacks in practice.
Govern Agent Authority Confidently
Make agent authority visible, testable, and auditable as tools, permissions, data access, and workflows expand.
- Inventory agent authority. Build a clear view of tools, permissions, data access, and approval steps so hidden capabilities do not become hidden liabilities.
- Test least privilege in practice. Challenge the controls surrounding high-impact actions to prove agents cannot exceed their role through direct or indirect manipulation.
- Create an audit trail. Record which boundaries were tested, which attacks succeeded, and whether remediation reduced the agent actions an adversary could trigger.
Learn More
Mindgard has helped some of the world's leading businesses to secure their AI agents, systems and infrastructure against real-world attacks. Learn more about real-life use cases from real customers.
