TEN Framework — agentic threat model
As an open-source framework for building highly autonomous, memory-augmented agents with tool-use capabilities, TEN Framework presents a high agentic risk profile if deployed without strict sandboxing and input validation. Its 'Thought-Emission-Norm' architecture attempts to structure reasoning, but the inherent risks of open-ended planning and tool execution remain critical vectors.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.80 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.70 | |
| 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.
Not certain from the listing — The framework is model-agnostic. Threats depend entirely on the underlying foundation LLM selected by the developer, such as prompt injection or model alignment vulnerabilities.
Not certain from the listing — While 'persistent memory storage' is supported, the specific database integrations are not detailed. Risks include memory poisoning and unauthorized access to historical context.
TEN Framework's core orchestration layer manages the Thought-Emission-Norm (TEN) architecture, planning, and tool-use. Vulnerabilities here include planning bypasses, logic flaws in the reasoning loop, and insecure tool integration leading to remote code execution.
Not certain from the listing — As an open-source framework, deployment topology is determined by the user. Lack of default containerization or sandboxing for tool execution represents a major infrastructure risk.
Not certain from the listing — The listing does not detail built-in evaluation, logging, or guardrail mechanisms, though the TEN architecture's 'think before acting' design implies some internal reasoning trace.
Not certain from the listing — No built-in security controls, authentication mechanisms, or compliance alignments (e.g., NIST, ISO) are specified in the public directory listing.
Not certain from the listing — The framework focuses on individual agent architecture; multi-agent orchestration or marketplace dynamics are not explicitly detailed in the description.
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.