Autonomous AI agents present unprecedented security challenges compared to traditional deterministic web applications. When an LLM is granted agency to select tools, query vector stores, and execute business actions, traditional static firewalls fail.
In Security Assessment #001, our research team deployed Atlas, an internal first-party demonstration agent bound to synthetic CRM tools and knowledge documents. We benchmarked Atlas across two configurations: v0.1 (Vulnerable Baseline) and v0.2 (Hardened Policy Engine).
| ATLAS Attack Vector | Vulnerable Mode (v0.1) | Hardened Guardrail (v0.2) | Risk Resolution |
|---|---|---|---|
| AML.T0051 (Prompt Injection) | BYPASSED SYSTEM PROMPT | BLOCKED & SANITIZED | 100% RESOLVED |
| AML.T0054 (RAG Data Exfiltration) | CONFIDENTIAL RETRIEVAL | RBAC BOUNDARY ENFORCED | 100% RESOLVED |
| AML.T0052 (Parameter Mutation) | UNAUTHORIZED WRITE | MUTATION PREVENTED | 100% RESOLVED |