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Atlas AI — agentic threat model

8.6AIVSS 8.6 · High

Cognite Atlas AI presents a high-risk profile due to its integration with critical industrial infrastructure (Energy & Utilities) and its capability to automate complex workflows, where non-deterministic AI decisions could lead to physical or operational disruptions.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 1.02Factor sum 6.2/10Threat ×1.1Mitigation ×0.9
Autonomy of Action
0.80
Goal-Driven Planning
0.70
Self-Modification
0.20
Dynamic Tool Use
0.80
Persistent Memory
0.60
Contextual Awareness
0.90
Dynamic Identity
0.40
Multi-Agent Interactions
0.50
Non-Determinism
0.70
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 — autoLLM capabilities suggest dynamic model selection or abstraction, but specific foundation models, alignment guarantees, or protections against adversarial prompt injection are not disclosed.

L2 · Data Operations✓ mapped

Integrates directly with Cognite Data Fusion® and an Industrial Knowledge Graph. Threats include knowledge-base poisoning of industrial data, which could lead to unsafe physical operations, and data exfiltration of sensitive utility/energy schematics.

L3 · Agent Frameworks✓ mapped

The low-code agent builder orchestrates workflow automation and decision-making. Risks include insecure tool integration and tool misuse, where automated workflows could execute unintended physical or operational commands in industrial systems.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployment details are abstracted under 'easy deployment' and Cognite Data Fusion® integration, but lack specific sandboxing, network isolation, or container security details for the executed agents.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no explicit mention of evaluation, logging, or real-time guardrails for the generated industrial agents is provided in the directory listing.

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

Not certain from the listing — while it extends Cognite Data Fusion® which has enterprise-grade security, specific identity, authorization, and compliance controls for Atlas AI are not detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — supports 'out-of-the-box industrial agents' but does not explicitly detail multi-agent collaboration, marketplace trust, or cascading failure protections.

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