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Airia — agentic threat model

7.5AIVSS 7.5 · High

Airia acts as an AI orchestration and security platform; while its security focus may mitigate some risks, its role as a central hub for multiple agents and models makes it a high-value target for compromise.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.27Factor sum 5.1/10Threat ×1.0Mitigation ×0.85
Autonomy of Action
0.50
Goal-Driven Planning
0.50
Self-Modification
0.20
Dynamic Tool Use
0.60
Persistent Memory
0.50
Contextual Awareness
0.60
Dynamic Identity
0.40
Multi-Agent Interactions
0.70
Non-Determinism
0.50
Opacity & Reflexivity
0.60

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — As an orchestration platform, Airia likely supports multiple foundation models, exposing it to risks of adversarial prompt injection, model misalignment, or model stealing depending on the integrated LLMs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform likely handles data ingestion or RAG for agent building, making it susceptible to data poisoning, unauthorized data access, or lineage gaps if data pipelines are not secured.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — While it focuses on agent building, specific framework vulnerabilities, insecure tool integration, or memory poisoning risks depend on the exact orchestration engine and runtime environment used.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment (cloud or on-premise) and sandboxing capabilities for executed agent code are unspecified, presenting potential risks of container escape or lateral movement.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The platform's ability to monitor agent drift, log interactions, or detect anomalies is not detailed, which could lead to blind spots in agent behavior.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — Although the platform is 'focused on security', specific compliance alignments (like SOC2, ISO) or access control mechanisms are not detailed in the public directory listing.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — It is unclear if Airia supports a multi-agent marketplace or cross-organization agent communication, which would introduce risks of cascading failures or agent-to-agent trust abuse.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.