Vanikya — agentic threat model
Vanikya presents a moderate risk profile, primarily driven by its handling of sensitive business intelligence data and public API access, which could lead to data exfiltration or prompt injection if not properly sandboxed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| 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 — likely utilizes third-party text-to-image models and LLMs for business intelligence. Vulnerable to prompt injection, adversarial inputs, and model reprogramming that could bypass content safety filters.
Not certain from the listing — processes user-uploaded business data and creative assets. Vulnerable to data exfiltration, unauthorized access to multi-tenant datasets, and poisoning of analytics pipelines.
Not certain from the listing — orchestrates visual generation and data analysis tools. Vulnerable to insecure tool integration, such as remote code execution via data analysis libraries or unauthorized API calls.
Not certain from the listing — hosted cloud platform with API access. Vulnerable to container escape, API abuse, and denial of service due to resource-intensive GPU workloads.
Not certain from the listing — no mention of monitoring, logging, or guardrails. Vulnerable to undetected drift in business intelligence insights or generation of toxic/copyrighted visual content.
Not certain from the listing — lacks explicit compliance certifications (e.g., SOC2, GDPR). Vulnerable to unauthorized access to multi-tenant business data and lack of audit trails for generated content.
Not certain from the listing — no multi-agent or marketplace interactions described. Vulnerable to supply chain risks if third-party APIs or external models are integrated.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).