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Linear — agentic threat model

8.9AIVSS 8.9 · High

Linear is primarily a project management and workflow automation platform rather than an autonomous AI agent; its primary security risks stem from its integrations (such as Git) and the sensitive proprietary roadmap and issue data it stores.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.8AARS uplift 0.14Factor sum 1.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.30
Persistent Memory
0.20
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.10
Opacity & Reflexivity
0.10

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 — The directory listing does not mention any underlying foundation models or LLMs used by Linear, making model-specific threats like adversarial reprogramming or membership inference unassessable.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — While Linear manages extensive project data (issues, roadmaps, sprints), the listing does not specify the use of vector databases, RAG architectures, or training data pipelines.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Linear features 'automated workflows' and 'Git integrations', but there is no evidence of an autonomous agent framework or dynamic tool-calling orchestration that could be vulnerable to prompt injection or tool hijacking.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As a closed-source SaaS tool, the hosting infrastructure, container sandboxing, and secrets management details for integrations are not disclosed in the listing.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The listing does not provide details on LLM-specific evaluation, guardrails, or observability mechanisms, as it functions primarily as a standard software development tool.

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

Not certain from the listing — Although Linear is a widely used commercial tool, the specific compliance certifications (e.g., SOC2, ISO 27001) and identity/access management controls are not detailed in this brief directory listing.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The listing highlights Git integrations but does not mention any multi-agent ecosystem, marketplace interactions, or agent-to-agent communication protocols.

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.