Robusta: AI Agent Security Audit

Robusta.dev offers an external security review focused on AI agents and autonomous systems. The audit examines how your agent is deployed, what tools it can invoke, who it can impersonate, and how an attacker could manipulate it through prompts or tool misuse.

• You are deploying an agent to production with access to real systems.
• The agent can write files, call APIs, query databases, or send messages.
• You need a third-party attestation for compliance, customers, or leadership.
• You want a prioritized remediation list rather than a generic vulnerability scan.

1. Tool allowlists and identity scopes — Can the agent do more than advertised?
2. Prompt injection vectors — Direct, indirect, and multi-turn jailbreak attempts.
3. Memory and context isolation — Is sensitive data leaking between sessions?
4. Audit logging and observability — Can you reconstruct what the agent did after an incident?
5. Deployment guardrails — Network exposure, secrets management, sandbox boundaries.

A prioritized report with:

• Risk-ranked findings
• Reproduction steps
• Concrete remediation guidance
• A retest window for critical fixes

• Point-in-time. The audit validates the system as it exists today. Agents that change frequently need recurring reviews.
• Scope matters. A narrowly scoped audit will miss cross-system risks. Be honest about what the agent touches.
• Not a guarantee. Security audits reduce risk; they do not eliminate it.

• Fixed-fee engagements start around $3,500 for a single agent with a focused scope.
• Larger, multi-agent systems with custom tools can range from $10,000 to $30,000+.
• Retest and ongoing advisory are usually separate.

Teams shipping agents into production where failure modes include data exfiltration, unauthorized actions, or reputational damage. Pair this with the Securing Agent Tool Permissions guide for internal hardening.