Secrets AI — agentic threat model
Secrets AI presents a high privacy risk due to its role as an intimate confidant storing highly sensitive personal data, combined with a lack of visible security controls. While its functional autonomy and tool-use risks are low, the potential for data exfiltration or memory poisoning of personal chats is significant.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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 — likely uses a fine-tuned open-source LLM optimized for conversational intimacy and NSFW content. Risks include model reprogramming, jailbreaks to bypass safety filters, and adversarial prompt injection.
Not certain from the listing — the agent stores highly sensitive personal conversations ('secrets') to enable persistent memory. Risks include data exfiltration of user chats, database poisoning, and lack of encryption at rest for vector/chat stores.
Not certain from the listing — likely uses a basic conversational orchestration framework with a memory injection loop. Risks include memory poisoning where malicious user inputs permanently alter the companion's persona or inject malicious instructions.
Not certain from the listing — hosted online, potentially self-hosted or cloud-hosted given the 'Open Source' tag. Risks include insecure hosting environments, lack of tenant isolation, and exposure of chat databases.
Not certain from the listing — likely lacks robust guardrails or content moderation given the 'NSFW' tag. Risks include undetected drift, toxic outputs, and lack of audit logging for user interactions.
Not certain from the listing — privacy compliance (GDPR/CCPA) is a major concern given the collection of intimate personal data ('secrets'). Risks include inadequate user authentication, lack of data deletion mechanisms, and non-compliance with privacy regulations.
The listing describes a standalone companion agent with no multi-agent or marketplace integrations. Risks at this layer are negligible as it does not interact with other agents or external APIs.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.