TogetherAI — agentic threat model
TogetherAI is an AI model development and infrastructure platform rather than an autonomous agent, presenting low direct agentic risk but high infrastructure and supply chain risk due to hosting proprietary models and training data.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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.
TogetherAI directly hosts and supports building foundation models. Key threats include model stealing/exfiltration of proprietary weights, adversarial prompt injection, and model reprogramming.
The platform supports building and fine-tuning generative AI models, which involves handling large datasets. Threats include training data poisoning, data exfiltration, and lack of data lineage/provenance controls.
Not certain from the listing — The description focuses on model building and infrastructure rather than an explicit agent orchestration framework, though it supports AI tools.
As an infrastructure provider offering scalable solutions, the primary threats are container/host compromise, lateral movement, and unauthorized access to compute resources.
Not certain from the listing — No specific evaluation, monitoring, or guardrail tools are detailed in the description, though they are critical for model development.
Not certain from the listing — The platform is closed-source and paid, but specific compliance alignments (e.g., SOC2, ISO) or identity governance controls are not detailed.
Not certain from the listing — While it mentions a collaborative environment, there is no explicit multi-agent marketplace or autonomous agent-to-agent interaction ecosystem described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).