Superagent — agentic threat model
Superagent presents a moderate agentic risk profile; while it integrates with sensitive internal document storage for compliance analysis, its actions are primarily informational (guidance, training, risk prediction) rather than transactional, reducing the risk of direct physical or financial harm.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.40 |
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 underlying foundation models are not specified. Threats include adversarial prompt injection to bypass compliance guardrails or generate misleading policy interpretations.
Integrates directly with existing document storage solutions to ingest compliance documents. This introduces risks of knowledge-base poisoning (uploading malicious or altered policies) and unauthorized data exfiltration of sensitive internal regulations.
Uses automated tools including document scanners, policy analyzers, and risk predictors. Vulnerabilities include insecure tool integration where malicious document formats could exploit the scanner or analyzer components.
Not certain from the listing — The hosting environment, API sandboxing, and network isolation controls are not detailed. Standard threats include container compromise or unauthorized API access to the document storage integrations.
Not certain from the listing — While it claims to cite specific sources and ensure adherence to internal policies, the specific evaluation, logging, and drift detection mechanisms are not disclosed.
Designed specifically for compliance management in regulated industries. It explicitly mitigates privacy risks by not handling personally identifiable information (PII) and focuses on verifiable citations to maintain accuracy.
Not certain from the listing — There is no mention of multi-agent orchestration or external agent marketplace interactions, suggesting a single-agent architecture with specialized tool execution.
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.