Codot — agentic threat model
Codot presents a moderate risk profile due to its integration with personal calendars and its processing of highly sensitive, unstructured personal thoughts ('brain dumps') via voice, though its lack of multi-agent or system-level execution limits the physical or enterprise threat vector.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 relies on third-party foundation models for speech-to-text and language processing. Threats include voice-based prompt injection (indirect or direct) that could manipulate the task breakdown logic.
Not certain from the listing — stores highly sensitive personal 'brain dumps' and adaptive cognitive profiles. Threats include unauthorized access to vector databases or memory stores containing intimate personal data, and data exfiltration.
Not certain from the listing — orchestrates task breakdown, proactive reminders, and calendar scheduling. Threats include insecure tool integration with calendar APIs, allowing unauthorized scheduling or deletion of events via manipulated inputs.
Not certain from the listing — hosted on closed-source cloud infrastructure. Threats include insecure storage of voice recordings, API keys for calendar integrations, and lack of sandboxing for user-specific data.
Not certain from the listing — no mention of guardrails or observability tools. Threats include a lack of validation on generated tasks or reminders, which could lead to scheduling conflicts or hallucinated notifications.
Not certain from the listing — handles sensitive personal productivity and potentially health-related cognitive data, but lacks explicit mention of compliance frameworks (e.g., GDPR, HIPAA) or access control mechanisms.
Not certain from the listing — operates primarily as a single-user personal assistant. Threats at this layer are low unless calendar integrations interact with external scheduling agents, introducing trust boundary issues.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).