VIDUR — agentic threat model
VIDUR is a low-autonomy, RAG-driven legal research and drafting assistant. Its primary security risks stem from potential data poisoning of its legal knowledge bases and the confidentiality risks associated with processing sensitive corporate tax and regulatory queries.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| 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 — likely utilizes a commercial foundation model optimized for legal text. Primary threats include prompt injection that could bypass safety guardrails or cause the model to generate hallucinated legal precedents.
Highly critical layer for VIDUR. It relies on expert knowledge sources (250+ specialists, Bharat Law). Threats include knowledge-base poisoning, out-of-date legal/tax data, and unauthorized extraction of proprietary legal databases via prompt extraction.
Not certain from the listing — likely uses a standard RAG orchestration framework. Threats include insecure tool integration if the agent dynamically queries external live APIs for real-time tax updates or GST status checks.
Not certain from the listing — likely hosted on standard cloud infrastructure. The primary threat is unauthorized access to user query histories, which contain highly sensitive corporate financial, tax, and regulatory data.
Not certain from the listing — no details on continuous evaluation or guardrails are provided. Gaps in observability could allow hallucinated or inaccurate legal advice to go undetected, leading to liability issues for users.
Not certain from the listing — handling corporate tax and regulatory data requires strict compliance with data privacy regulations (e.g., GDPR or local equivalents), but no specific compliance certifications or access control mechanisms are detailed.
Not certain from the listing — VIDUR appears to operate as a standalone advisory agent with no explicit multi-agent or ecosystem marketplace integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).