Find and fix AI agent risk, before it causes damage
Mount red-teams deployed AI agents for prompt injection, permission escalation, data leakage, and unauthorized actions. You get a risk score, ranked vulnerabilities, and exactly what to fix in 48 hours.
* Built for production AI systems with real permissions, tools, and workflows.
WHAT WE TEST
The attack surface of a deployed AI agent
Prompt Injection. Manipulated inputs hijack agent behaviour — redirecting it to leak data, bypass controls, or execute unauthorised actions.
Excessive Permissions. The agent has more access than it needs. A small security failure escalates into a real incident because nothing limits the blast radius.
Data Exposure. Sensitive information leaks through prompts, retrieved context, memory, or tool output without triggering any alert.
Unauthorized Actions. The agent sends messages, updates records, or triggers workflows no human approved.
Weak Oversight. Approval gates, audit trails, and rollback controls are missing, misconfigured or too weak to matter.
Tool and Dependency Risk. Connected models, APIs and third-party tools introduce failure points you don't control and may not monitor.
THE OUTPUT
A security report your team can act on today
Not a 60-page PDF that sits in a drawer. A prioritized, evidence-backed report that engineering, security, and leadership can use immediately.
* Built for production AI systems with real permissions, tools, and workflows.
HOW IT WORKS
Assess. Prioritize. Fix.
01
Assess
We review your agent's architecture, permissions, tools, data access, and deployment context. Automated red-teaming plus manual analysis.
02.
Prioritize
Mount identifies the highest-severity weaknesses and where exposure is greatest. Not everything matters equally — we rank what matters most.
03.
Improve
Your team gets specific remediation guidance. Or Mount can fix it with you. Either way, risk goes down and you can prove it.