Digest AI — agentic threat model
Digest AI is a low-risk, retrieval-focused legal assistant whose primary security concerns are data privacy (leakage of sensitive legal queries) and data integrity (hallucinations or poisoning of legal citations).
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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 LLM is not specified. Threats include prompt injection leading to hallucinated legal precedents or citations, and model output misalignment.
The tool relies heavily on a database of Philippine laws, cases, and precedents. Threats include knowledge-base poisoning (injecting fake precedents) and data exfiltration of proprietary legal documents or user search history.
Not certain from the listing — the orchestration framework is unknown. Threats include insecure tool integration between the chat interface and the legal database search engine.
Not certain from the listing — hosting details are not provided. Threats include standard web application vulnerabilities, unauthorized access to the vector database, and lack of sandboxing for offline content generation.
Not certain from the listing — no monitoring or guardrail systems are mentioned. Gaps in drift detection or hallucination monitoring could lead to lawyers receiving and using incorrect legal citations.
Not certain from the listing — compliance certifications (e.g., SOC2, GDPR/DPA 2012) are not stated. Risks include unauthorized access to sensitive legal queries and lack of audit trails for research activities.
The agent operates as a standalone vertical solution with no multi-agent or ecosystem integrations mentioned. Ecosystem threats are minimal, though third-party API dependencies for the LLM could introduce supply chain risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).