Mission Grey — agentic threat model
Mission Grey acts as an AI-powered strategy and risk management assistant handling sensitive financial and portfolio data. Its primary risks stem from potential prompt injection manipulating strategic risk reports (SWOT/PESTEL) and data poisoning of the monitoring feeds, which could lead to flawed corporate decision-making.
OWASP AIVSS score rationale
| Autonomy of Action | 0.50 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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 — likely utilizes commercial LLMs to generate SWOT, PESTEL, and scenario analyses. Key threats include prompt injection that could subtly bias risk assessments, and model hallucinations leading to incorrect strategic advice.
Not certain from the listing — ingests corporate portfolio data and external market/event feeds for 'Automatic Monitoring'. Threats include data poisoning of external feeds to trigger false risk alerts, and unauthorized exfiltration of sensitive portfolio data.
Not certain from the listing — orchestrates analytical tools to perform portfolio optimization and monitoring. Threats include insecure tool integration with internal financial databases and manipulation of the orchestration logic to bypass risk thresholds.
Not certain from the listing — deployed as a closed-source SaaS platform. Threats include container compromise or API exposure, potentially leaking proprietary corporate strategies and financial portfolios to unauthorized actors.
Not certain from the listing — requires robust observability to detect drift in risk optimization models and verify report accuracy. Gaps in logging could allow silent manipulation of risk metrics to go unnoticed.
Not certain from the listing — handles highly sensitive corporate strategy and financial data, necessitating strict role-based access control (RBAC) and compliance with financial data privacy standards, though none are explicitly detailed.
Not certain from the listing — primarily functions as a standalone risk assistant, but integration into broader enterprise decision-making workflows could introduce cascading risks if downstream systems automatically act on its generated reports.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).