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Asana AI — agentic threat model

7.9AIVSS 7.9 · High

Asana AI presents a moderate-to-high risk profile due to its integration into enterprise workflows via AI Studio, allowing multi-agent automation over sensitive corporate project data and task management systems.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.23Factor sum 4.9/10Threat ×1.0Mitigation ×0.9
Autonomy of Action
0.60
Goal-Driven Planning
0.50
Self-Modification
0.20
Dynamic Tool Use
0.60
Persistent Memory
0.50
Contextual Awareness
0.70
Dynamic Identity
0.30
Multi-Agent Interactions
0.60
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — Asana AI likely leverages third-party foundation models via API. Primary threats include prompt injection leading to unauthorized actions or data leakage, and adversarial manipulation of task summaries.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent processes sensitive organizational project data, goals, and tasks. Threats include data exfiltration via prompt injection and potential poisoning of the workspace context to manipulate automated decisions.

L3 · Agent Frameworks✓ mapped

Asana AI utilizes 'AI Studio' to design and deploy AI agents within workflows. Threats include insecure tool integration, unauthorized execution of automated tasks, and logic flaws in the no-code orchestration framework.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted on Asana's enterprise cloud infrastructure. Threats include container escape, privilege escalation, and lateral movement within the hosting environment if the execution sandbox is compromised.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The listing does not specify the evaluation or observability guardrails in place. Gaps here could lead to undetected drift in automated workflows or silent failures in goal drafting.

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

Not certain from the listing — While Asana maintains enterprise-grade compliance (e.g., SOC 2), the specific security controls, access policies, and audit logs governing AI-driven actions are not detailed.

L7 · Agent Ecosystem✓ mapped

The platform supports deploying multiple AI agents within workflows via AI Studio. This introduces threats of multi-agent trust abuse, cascading failures across automated workflows, and unauthorized horizontal escalation.

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