Continua — agentic threat model
Continua represents a high-level concept of 'personal agents for the world' with minimal public technical details, presenting significant latent risks around personal data privacy and unauthorized tool execution without visible security guardrails.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.50 |
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 underlying LLM or foundation model is not specified, leaving it vulnerable to standard model-level threats like prompt injection or adversarial manipulation.
Not certain from the listing — As a personal agent, it likely processes sensitive user data, but the storage mechanism, RAG implementation, or vector database security are completely unspecified.
Not certain from the listing — The orchestration framework, memory management, and tool-calling mechanisms are undisclosed, posing risks of insecure tool execution or memory poisoning.
Not certain from the listing — No details are provided regarding hosting, sandboxing, or network isolation, which are critical for protecting personal user environments.
Not certain from the listing — There is no mention of continuous monitoring, guardrails, or logging to detect anomalous agent behavior or data drift.
Not certain from the listing — Compliance certifications (e.g., GDPR, SOC2) and identity/access management controls are not documented despite the personal assistant nature.
Not certain from the listing — It is unclear if the agent interacts with other agents or third-party marketplaces, which could introduce cascading trust-boundary risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).