Remember Them — agentic threat model
The 'Remember Them' dashboard is a low-risk productivity tool focused on relationship management, presenting minimal agentic risk due to its lack of autonomous execution, planning, or multi-agent capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 models used for processing notes or generating reminders are not disclosed. If LLMs are used, they face risks of prompt injection via malicious connection notes.
Not certain from the listing — the storage mechanism for LinkedIn connection notes and reminders is unspecified. Risks include unauthorized access to sensitive professional relationship data and potential data leakage.
Not certain from the listing — the orchestration framework is not detailed. The tool appears to function more as a traditional CRUD dashboard than an autonomous agent, limiting agentic framework vulnerabilities.
Not certain from the listing — deployment details are omitted, though being open-source suggests self-hosting or standard web hosting. Risks depend heavily on the user's deployment environment and database security.
Not certain from the listing — there is no mention of logging, observability, or guardrails for input validation on connection notes.
Not certain from the listing — authentication and authorization controls for securing personal networking data are not described, raising potential compliance risks regarding contact data storage (e.g., GDPR).
Not certain from the listing — the tool does not appear to participate in a multi-agent ecosystem, limiting threats to standard third-party API integrations (e.g., LinkedIn).
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).