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Den — agentic threat model

9.4AIVSS 9.4 · Critical

Den presents a high agentic risk profile due to its role as a unified workspace combining chats, documents, and multi-agent workflows. A compromise could allow unauthorized access to sensitive organizational knowledge and the execution of malicious actions via integrated third-party tools.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.87Factor sum 5.8/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.60
Goal-Driven Planning
0.50
Self-Modification
0.20
Dynamic Tool Use
0.70
Persistent Memory
0.80
Contextual Awareness
0.80
Dynamic Identity
0.40
Multi-Agent Interactions
0.70
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 — Den is closed-source and does not specify its underlying foundation models. Threats include adversarial prompt injection via shared documents or chats, and misaligned outputs.

L2 · Data Operations✓ mapped

Den acts as a central repository for chats, documents, and knowledge management. This creates a high risk of data/knowledge-base poisoning (e.g., uploading malicious files to manipulate the AI) and unauthorized data exfiltration of sensitive workspace information.

L3 · Agent Frameworks✓ mapped

The platform orchestrates automated workflows and task management. Vulnerabilities here include tool misuse (unauthorized execution of integrated platform actions) and memory poisoning across shared workspace sessions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No details are provided regarding hosting, sandboxing of agent workflows, or secrets management for third-party integrations. Threats include privilege escalation and lateral movement if workflow execution environments are not isolated.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of evaluation frameworks, guardrails, or logging/monitoring capabilities to detect anomalous agent behavior or prompt injection attempts within the workspace.

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

Not certain from the listing — While designed to replace enterprise tools like Slack and Notion, the listing does not detail identity and access management (IAM), role-based access controls (RBAC), or compliance certifications (e.g., SOC2).

L7 · Agent Ecosystem✓ mapped

Den explicitly supports multiple AI agents within a single workspace. This introduces risks of agent-to-agent (A2A) trust abuse, cascading failures across automated workflows, and rogue agents executing unauthorized actions on behalf of users.

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