Document Intelligence Agent — agentic threat model
The Document Intelligence Agent presents a low agentic risk profile due to its narrow, utility-focused scope of transforming documents into structured text. Its primary security risks are data-centric, specifically indirect prompt injection via malicious documents and the exposure of sensitive data processed by the system.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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 uses a vision-language model or standard LLM for OCR and extraction. It is highly vulnerable to indirect prompt injection embedded within uploaded documents, which could manipulate the structured output.
Not certain from the listing — processes uploaded documents which may contain highly sensitive PII, financial, or proprietary data. Risks include data leakage, unauthorized access to document stores, and lack of secure data deletion policies.
Not certain from the listing — likely uses a basic orchestration pipeline to ingest, chunk, and parse documents. Vulnerabilities include insecure handling of malformed files and lack of input validation before passing content to the LLM.
Not certain from the listing — requires secure hosting to process user files. Vulnerable to server-side request forgery (SSRF) or remote code execution (RCE) if underlying document parsing libraries (e.g., PDF/image parsers) contain unpatched vulnerabilities.
Not certain from the listing — requires schema validation and drift detection to ensure extraction accuracy. Lack of observability could lead to silent failures where corrupted or hallucinated data is ingested into downstream databases.
Not certain from the listing — handling user documents necessitates strict compliance with data privacy regulations (e.g., GDPR, HIPAA). The listing does not specify encryption standards, access controls, or data retention policies.
Not certain from the listing — appears to operate as a standalone utility with no multi-agent coordination or ecosystem integration described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).