DeepSeek AI Assistant — agentic threat model
DeepSeek AI Assistant exhibits moderate agentic risk, primarily driven by its advanced reasoning capabilities (DeepSeek-R1) and large context window, though its lack of explicit autonomous tool execution limits its immediate physical or system-level threat vector.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.80 |
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.
Powered by the 600B+ parameter DeepSeek-R1 model. Primary threats include adversarial prompt injection, model alignment bypasses, and potential model extraction/stealing via the public API endpoints.
Not certain from the listing — The listing mentions a 256K context window and dynamic memory, but does not specify the underlying vector database, RAG architecture, or data ingestion pipelines, leaving potential gaps in data exfiltration and knowledge-base poisoning analysis.
Not certain from the listing — While 'dynamic memory' is highlighted for task continuity, the specific orchestration framework, tool-calling mechanisms, and memory sanitization protocols are not detailed, presenting risks of memory poisoning.
Not certain from the listing — The assistant is deployed via mobile apps and developer APIs, but the hosting infrastructure, API gateway security, container sandboxing, and secrets management practices are not disclosed.
Not certain from the listing — There is no mention of real-time guardrails, output filtering, logging, or anomaly detection systems to monitor model behavior or detect adversarial exploitation.
Not certain from the listing — No compliance certifications (such as SOC2, ISO 27001) or specific identity and access management (IAM) policies are mentioned for the API or mobile deployments.
Not certain from the listing — The listing describes a horizontal personal assistant and developer API, with no explicit mention of multi-agent orchestration, marketplace integrations, or agent-to-agent trust boundaries.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).