Proficient AI — agentic threat model
Proficient AI is a closed-source SDK and API framework for building conversational agents, presenting risks primarily associated with framework-level vulnerabilities, insecure tool integration, and the inherent opacity of closed-source orchestration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| 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 — The listing describes an SDK/API framework and does not specify the underlying foundation models used, leaving threats like model-specific vulnerabilities or data poisoning unverified.
Not certain from the listing — The directory listing does not detail how data operations, vector databases, or RAG pipelines are structured or secured within the SDK.
As a closed-source framework for building and operating conversational agents, vulnerabilities in the SDK orchestration code, insecure tool integration patterns, and conversational memory poisoning represent primary threats.
Not certain from the listing — While the SDK allows developers to 'deploy and operate' agents, the specific hosting environments, sandboxing capabilities, and secrets management practices are not disclosed.
Not certain from the listing — There is no mention of built-in evaluation, observability, logging, or guardrail mechanisms within the SDK to detect drift or anomalous agent behavior.
Not certain from the listing — No specific security certifications (e.g., SOC2, ISO), compliance alignments, or identity and access management (IAM) controls are detailed in the public listing.
Not certain from the listing — The framework focuses on conversational agents within apps, but it is unclear if it supports multi-agent ecosystems, agent-to-agent trust boundaries, or marketplace integrations.
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.