Latest Grok 3 AI — agentic threat model
Grok 3 is a highly capable, closed-source multimodal LLM with advanced reasoning and web-search capabilities, presenting moderate-to-high risk primarily through indirect prompt injection via DeepSearch and potential execution of untrusted code.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| 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.
Grok 3 is a closed-source foundation model. Primary threats include adversarial prompt injection, model extraction/stealing, and potential training data poisoning.
DeepSearch relies on real-time web data retrieval. This introduces severe risks of indirect prompt injection from poisoned web pages and data exfiltration of sensitive user queries.
Not certain from the listing — the orchestration framework for DeepSearch and Big Brain Mode is proprietary. Potential threats include insecure tool integration with the search engine and prompt injection leading to unauthorized tool execution.
Not certain from the listing — hosted by xAI. Threats include infrastructure compromise, lack of sandboxing for code execution if the model runs generated code, and API exposure.
Not certain from the listing — no details on guardrails or monitoring are provided. Gaps in drift detection or evaluation gaming could lead to unsafe outputs.
Not certain from the listing — compliance standards (like SOC2 or ISO) are not mentioned. Lack of visible access controls or audit logs for user data.
Not certain from the listing — no multi-agent or marketplace interactions are described. Potential future threats include cascading failures if integrated with other xAI or third-party agents.
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.