913.ai — agentic threat model
913.ai presents a moderate-to-high risk profile primarily due to its capability to process and generate bulk business documents, making it a high-value target for data exfiltration and document-based prompt injection attacks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| 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 specific foundation models used for document classification and generation are not disclosed. Standard risks include prompt injection altering extraction logic or model output hallucination during document generation.
The agent processes thousands of documents for extraction, classification, and knowledge streamlining. Risks include data poisoning of the knowledge base, unauthorized data access, and exfiltration of sensitive document contents.
Orchestrates workflows via a No-Code Agent Builder. Risks include insecure tool integration (e.g., document parsers, generators) and logic bypasses in the configured workflow steps.
Not certain from the listing — The hosting environment, sandboxing of document parsers (which are prone to remote code execution via malicious PDFs/Office files), and secrets management are not specified.
Not certain from the listing — No details are provided regarding validation guardrails, drift detection, or audit logging for the automated document workflows.
Not certain from the listing — While the description claims to make processes 'secure', specific compliance frameworks (e.g., SOC2, GDPR), identity management, and access controls are not detailed.
The platform allows building 'AI Agents' for workflows, but there is no explicit mention of a multi-agent marketplace or cross-tenant agent interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).