Anon — agentic threat model
Anon acts as a high-privilege integration and authentication broker for AI agents, presenting significant security risks if compromised due to its access to user sessions and 2FA. However, its built-in zero-trust architecture and strict user-permissioned design significantly mitigate unauthorized access vectors.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.90 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 platform does not specify the underlying foundation models used, focusing instead on the integration and authentication infrastructure for external agents.
Not certain from the listing — While Anon manages sensitive user credentials and session data, the listing does not detail its internal data operations, vector databases, or training data pipelines.
Anon directly addresses agent framework vulnerabilities by securing tool integration. It mitigates tool misuse and insecure integrations by acting as a secure, permissioned gateway between agents and web services.
The platform utilizes a zero-trust architecture and supports cross-platform deployment (mobile, web, desktop), reducing the risk of host compromise and unauthorized lateral movement.
Not certain from the listing — There is no explicit mention of evaluation, logging, guardrails, or observability features for monitoring agent behavior during integrations.
Security and compliance are core strengths, featuring robust identity and access management through user-permissioned integrations, SSO, OAuth, and 2FA handling.
Anon operates at the ecosystem layer by enabling agents to interact with third-party web services, mitigating the risk of rogue agents abusing trust by enforcing strict user-permission boundaries.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).