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ServiceNow — agentic threat model

9.1AIVSS 9.1 · Critical

ServiceNow AI platform presents a high-impact risk profile due to its integration with critical enterprise workflows and data, though the brief listing limits visibility into specific agentic safeguards.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.65Factor sum 4.3/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.50
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.50
Contextual Awareness
0.60
Dynamic Identity
0.30
Multi-Agent Interactions
0.40
Non-Determinism
0.40
Opacity & Reflexivity
0.50

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 specific foundation models powering the ServiceNow AI platform are not disclosed, leaving potential vulnerabilities to adversarial prompt injection, model reprogramming, or data poisoning unverified.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — While the platform connects data, the underlying data operations, vector database security, and RAG mechanisms are not detailed, presenting risks of data exfiltration or knowledge-base poisoning.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework for connecting workflows and AI is not specified, which could expose the system to insecure tool integration or workflow hijacking if input validation is weak.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No details are provided regarding the hosting infrastructure, container sandboxing, or secrets management for the AI integrations, leaving hosting-level privilege escalation risks unclear.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The listing does not mention specific evaluation, observability, or guardrail frameworks to monitor AI decisions and prevent drift or malicious outputs.

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

Not certain from the listing — Although ServiceNow is typically an enterprise-grade platform, this specific listing does not detail the identity, authorization, or compliance controls applied to its AI features.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The platform's capability for 'seamless collaboration' suggests multi-agent or multi-system workflows, but the ecosystem trust boundaries and protection against cascading failures are not defined.

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.