Achieva — agentic threat model
Achieva presents a high-impact risk profile due to its deep integration with Salesforce and sensitive insurance workflows, though its lack of autonomy limits immediate execution risks. The primary concerns stem from potential data exfiltration of PII/PHI and compliance violations if its multi-agent planning capabilities are compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.70 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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 specific LLMs or predictive models used by Achieva are not disclosed. Threats include model misalignment or prompt injection affecting compliance workflows.
Not certain from the listing — The architecture of the RAG or vector stores for insurance and Salesforce data is not specified. Threats include data poisoning of insurance policy guidelines or CRM data exfiltration.
Not certain from the listing — The orchestration framework is not detailed, though planning and multi-agent capabilities are claimed. Threats include insecure tool integration with Salesforce APIs.
Not certain from the listing — The hosting environment (e.g., Salesforce AppExchange, AWS, or private cloud) is not specified. Threats include container compromise or unauthorized API access to Salesforce.
Not certain from the listing — No specific evaluation, guardrails, or monitoring tools are mentioned. Threats include drift in predictive analytics or undetected biased outputs in insurance compliance.
Not certain from the listing — While "compliance" is a key feature, specific identity, authorization, or audit controls are not detailed. Threats include privilege escalation within Salesforce.
Not certain from the listing — The multi-agent interactions (0.7 score) are not described in detail. Threats include cascading failures or trust abuse between Achieva's internal 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 — every score is re-derived by the same automated method as an agent's public evidence changes.