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Outverse — agentic threat model

8.0AIVSS 8.0 · High

Outverse presents a high agentic risk profile due to its capability to execute custom actions on behalf of customers and access unified context across multiple enterprise data sources. Its deployment in regulated industries increases the potential impact of prompt injection or tool misuse leading to unauthorized data access or transactional actions.

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 ×0.85
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
0.80
Dynamic Identity
0.50
Multi-Agent Interactions
0.40
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 — Outverse is closed-source and does not specify its underlying foundation models. It is highly vulnerable to standard LLM threats like prompt injection, which could be leveraged to bypass support workflows or trigger unauthorized custom actions.

L2 · Data Operations✓ mapped

Outverse aggregates a 'unified context across multiple sources' to resolve complex tickets. This creates a high-value target for data exfiltration and knowledge-base poisoning, where malicious public-facing tickets or documentation updates could corrupt the RAG pipeline.

L3 · Agent Frameworks✓ mapped

The agent supports 'custom actions on behalf of customers' and 'custom support workflows'. This orchestration layer is highly sensitive; insecure tool integration or lack of strict input validation could allow users to trigger unauthorized API calls or state-changing actions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — While the platform is 'built for regulated industries' (implying enterprise-grade hosting and isolation), specific details regarding container sandboxing, network segmentation, or secrets management for custom integrations are not provided.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The presence of an 'internal copilot for support teams' suggests some level of human-in-the-loop oversight, but the listing does not detail specific guardrails, real-time anomaly detection, or automated evaluation frameworks.

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

Not certain from the listing — The description claims the platform is 'built for regulated industries,' implying alignment with frameworks like SOC2, HIPAA, or GDPR, but no concrete compliance certifications or identity/access management (IAM) controls are explicitly detailed.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The system features both customer-facing agents and internal copilots, suggesting a multi-agent or multi-persona dynamic. However, there is no explicit mention of an open agent ecosystem or third-party agent marketplace interactions.

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