← Emily | ESG Data Collection Agent
Emily | ESG Data Collection Agent — agentic threat model
Emily presents moderate risk due to its access to sensitive corporate ESG and manufacturing data for automated collection and reporting, where integrity failures could lead to regulatory non-compliance or greenwashing accusations.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.40 | |
| 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 for parsing unstructured ESG documents. Primary threats include prompt injection leading to manipulated carbon calculations or misaligned reporting outputs.
Not certain from the listing — ingests manufacturing and utility data. Risks include data poisoning of the ESG knowledge base, leading to incorrect sustainability metrics, and unauthorized exfiltration of proprietary operational data.
Not certain from the listing — orchestrates multi-step collection and validation. Vulnerabilities could involve insecure tool integration when connecting to corporate ERPs, utility APIs, or external databases.
Not certain from the listing — deployed as a closed-source SaaS. Key threats include insecure storage of third-party API credentials and lack of sandboxing during data ingestion processes.
Not certain from the listing — requires robust validation guardrails to prevent hallucinated metrics, but specific logging, drift detection, or human-in-the-loop verification mechanisms are not detailed.
Not certain from the listing — must align with strict ESG reporting frameworks (e.g., CSRD, GHG Protocol), but the listing lacks details on access controls, audit trails, or compliance certifications.
Not certain from the listing — no multi-agent or ecosystem integrations are described, limiting immediate exposure to agent-to-agent trust abuse.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).