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EntelligenceAI — agentic threat model

9.4AIVSS 9.4 · Critical

EntelligenceAI poses a high agentic risk due to its deep integration into engineering systems (codebases, PRs, issue trackers) and its ability to synthesize code and automate responses, making it a high-value target for supply chain attacks and intellectual property theft.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.93Factor sum 5.9/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.70
Goal-Driven Planning
0.80
Self-Modification
0.20
Dynamic Tool Use
0.80
Persistent Memory
0.70
Contextual Awareness
0.90
Dynamic Identity
0.50
Multi-Agent Interactions
0.20
Non-Determinism
0.60
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 — likely relies on commercial LLMs for codebase synthesis and planning. Threats include prompt injection leading to malicious code generation or IP leakage.

L2 · Data Operations✓ mapped

Ingests codebases, pull requests, and documentation into a unified context. Major threats include data poisoning (malicious code/comments in repos poisoning the context) and data exfiltration of proprietary IP.

L3 · Agent Frameworks✓ mapped

Uses a Planning API and Context Awareness API to orchestrate tasks like PR reviews and issue responses. Threat: Insecure tool integration with VCS (GitHub/GitLab) allowing unauthorized code modifications or PR approvals.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely hosted as a SaaS platform. Threat: Compromise of the SaaS environment hosting the codebase context, leading to massive IP exposure.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of monitoring or guardrails for code synthesis. Threat: Blind spots in detecting malicious code generated by the AI or prompt injection attempts.

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

Not certain from the listing — closed source, paid tool, but no explicit security certifications (SOC2, ISO) or RBAC details provided. Threat: Over-privileged API tokens accessing sensitive repositories.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — no explicit multi-agent or marketplace interactions mentioned. Threat: Potential cascading failures if integrated with other developer tools or CI/CD agents.

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