Arya-AI — agentic threat model
Arya-AI presents a high agentic risk profile due to its multi-agent architecture executing over 150 tasks across 10 enterprise departments, combined with a lack of explicit security controls in its public listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.60 | |
| Multi-Agent Interactions | 0.90 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.70 |
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 listing does not specify the underlying foundation models used by Arya-AI. Threats include potential model vulnerabilities, adversarial examples, or misaligned outputs depending on the chosen LLM.
Not certain from the listing — The listing does not detail how data operations, RAG, or vector databases are managed, though it supports 150+ tasks across 10 departments. Threats include data poisoning or exfiltration of sensitive departmental data.
Arya-AI integrates multiple AI agents to execute 150+ tasks across 10 departments, indicating a complex orchestration framework. Threats include tool misuse, insecure tool integration, and framework vulnerabilities during task execution.
Arya-AI offers both cloud and on-premise deployment options. Threats include container/host compromise, privilege escalation, and lateral movement within the enterprise network or cloud environment.
Arya-AI features real-time performance and sustainability tracking. Threats include blind spots in logging agentic actions across 150+ tasks or insufficient guardrails to detect anomalous behavior.
Not certain from the listing — The listing does not mention specific security certifications (like SOC2, ISO) or identity/access management controls, despite offering on-premise deployment.
Arya-AI explicitly integrates the capabilities of multiple AI agents into one advanced system to execute tasks. Threats include multi-agent trust abuse, cascading failures across agents, and rogue agent behavior within the internal ecosystem.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).