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The General Intelligence Company — agentic threat model

8.6AIVSS 8.6 · High

The General Intelligence Company focuses on business automation via 'Digital Workers', which inherently carries high-impact risks due to potential integration with sensitive corporate systems and data, though the lack of technical specifics in the listing limits a definitive security posture assessment.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.05Factor sum 4.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.50
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.40
Contextual Awareness
0.50
Dynamic Identity
0.20
Multi-Agent Interactions
0.30
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 — The specific foundation models powering these digital workers are not disclosed, leaving potential exposure to standard LLM vulnerabilities such as prompt injection, model reprogramming, or misaligned outputs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The data operations, vector stores, and RAG architectures used to ingest business data are unspecified, presenting risks of data exfiltration or knowledge-base poisoning if left unsecured.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework, memory management, and tool-calling mechanisms for business automation are not described, raising concerns regarding insecure tool integration and unauthorized action execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment infrastructure, sandboxing controls, and network isolation measures for hosting these digital workers are unknown, which could lead to host compromise or lateral movement if compromised.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of evaluation frameworks, real-time monitoring, logging, or guardrails to detect drift, anomalies, or malicious inputs in production environments.

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

Not certain from the listing — The listing does not detail any identity management, access controls, policy enforcement, or regulatory compliance alignments (such as SOC2 or ISO 27001) for the automated workflows.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — While 'Digital Workers' implies potential multi-agent coordination or integration into broader enterprise ecosystems, the specific interaction protocols and trust boundaries between agents are undefined.

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.