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← Cognigy

Cognigy — agentic threat model

7.4AIVSS 7.4 · High

Cognigy presents a moderate-to-high risk profile due to its integration with enterprise contact centers and business systems, where autonomous LLM-driven actions could be manipulated via prompt injection to exfiltrate customer data or trigger unauthorized API transactions.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.15Factor sum 4.6/10Threat ×1.0Mitigation ×0.85
Autonomy of Action
0.70
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.50
Contextual Awareness
0.70
Dynamic Identity
0.20
Multi-Agent Interactions
0.30
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 — uses 'Large Language Model Orchestration' but specific LLMs are not disclosed. Risks include prompt injection, adversarial inputs in chat/voice, and mis-aligned outputs affecting customer brand reputation.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely integrates with enterprise CRMs and knowledge bases for RAG. Risks include data exfiltration of customer PII and knowledge-base poisoning.

L3 · Agent Frameworks✓ mapped

Uses a low-code AI Agent Management framework combining structured conversational AI with LLM orchestration. Risks include insecure tool/API integration with contact centers and business systems, leading to unauthorized actions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — deployment details (SaaS, on-prem, or private cloud) are not specified. Risks include container compromise, API exposure, and lack of sandboxing for dynamic integrations.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — while it mentions 'Agent Management' and 'Agent Copilot', specific guardrails or real-time monitoring tools are not detailed. Gaps could lead to undetected prompt injections or model drift.

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

Not certain from the listing — enterprise-grade compliance (e.g., SOC2, GDPR, HIPAA) is expected for contact centers but not explicitly detailed in this brief. Lack of robust access controls could expose customer PII.

L7 · Agent Ecosystem✓ mapped

Integrates with external contact centers, business systems, and human agents (Agent Copilot). Risks include cascading failures across integrated business APIs and trust abuse between the AI agent and human agents.

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