DirectoryAgent — agentic threat model
DirectoryAgent poses a significant data exposure risk due to its integration with organizational directories, where natural language processing could be exploited to bypass traditional access controls and harvest sensitive user data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the specific foundation model is not disclosed. Standard LLM risks like prompt injection or adversarial inputs could affect natural language directory queries.
Not certain from the listing — directory integration implies access to user/organizational directories (Active Directory, LDAP, Okta, etc.), posing risks of unauthorized data exfiltration or directory harvesting via natural language queries, but specific storage/vector databases are unknown.
Not certain from the listing — orchestration framework is not specified. Risks include insecure tool integration with directory APIs and potential prompt injection leading to unauthorized directory lookups.
Not certain from the listing — hosting environment, sandboxing, and network isolation details are omitted, making it impossible to assess infrastructure-level vulnerabilities.
Not certain from the listing — no logging, monitoring, or guardrail mechanisms are mentioned in the description to detect anomalous directory queries.
Not certain from the listing — directory integration requires robust authentication and authorization (OAuth, SAML, LDAP credentials), but the listing does not specify how these credentials are secured or if RBAC is enforced.
Not certain from the listing — no multi-agent coordination or marketplace interactions are described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).