AI AGENT SECURITY

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.

AI agent security is not just model safety. It is prompt security, tool security, permission security, data security, and operational security combined. If your agent can act, it can be attacked.

THE PROBLEM

Most security reviews stop where deployed Al risk begins.

Al agents do more than respond. They access systems, call tools, retrieve data, and take action inside real workflows. That creates a new attack surface generic security reviews do not fully capture.

If your agent can act, it can fail in ways your current controls may not catch.

WHAT WE TEST

The attack surface

Six ways your AI agent can fail in production

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.

Al agent risk score, one number grounded in evidence

Prioritized remediation guidance, what to fix, in what order

Severity-ranked vulnerabilities, worst first with proof

Control-gap analysis, what's missing vs what's in place

Clear next-steps, concrete actions, not abstract recommendations

Mount's team implements the fixes for you. We harden your agent, re=test, and verify.

HOW IT WORKS

Three steps

Assess. Prioritise. 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.

FOR TEAMS SHIPPING FAST

Security that helps you move with fewer blind spots.

The goal is not another compliance checkpoint. The goal is to help teams reduce exposure before incidents, customer issues, or internal escalations force the conversation.

Clearer remediation priorities

Stronger internal controls

Better production visibility

More confidence before deployment

Insure and secure your AI agents with Mount

mount

|

Y Combinator

Asses, Certify and Insure AI agents.

TRUST LAYER FOR AI AGENTS

Your competitors are getting tested.
Are you?

© 2026 MOUNT. All rights reserved

mount

|

Y Combinator

Asses, Certify and Insure AI agents.

TRUST LAYER FOR AI AGENTS

Your competitors are getting tested.
Are you?

© 2026 MOUNT. All rights reserved

mount

|

Y Combinator

Asses, Certify and Insure AI agents.

TRUST LAYER FOR AI AGENTS

Your competitors are getting tested.
Are you?

© 2026 MOUNT. All rights reserved