Chai — agentic threat model
Chai is a closed-source, no-code AI agent development platform that introduces moderate-to-high risk due to the rapid deployment of LLM-based automation tools (like email summarizers and support bots) without visible built-in security guardrails, sandboxing, or compliance controls.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.70 |
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 platform leverages LLMs for prompt-to-agent creation, making it susceptible to prompt injection, adversarial reprogramming, and misaligned outputs, but the specific underlying models are not disclosed.
Not certain from the listing — While agents handle data for email summarization and customer support, the platform's data ingestion, vector database usage, and RAG capabilities are not detailed.
Not certain from the listing — Chai orchestrates prompt-to-agent conversion and automation, but the underlying execution framework, memory management, and tool-calling mechanisms are proprietary and unspecified.
Not certain from the listing — The platform hosts and deploys user-created agents, but details regarding containerization, sandboxing of execution environments, and secrets management are absent.
Not certain from the listing — No built-in guardrails, evaluation frameworks, or monitoring tools for deployed agents are explicitly mentioned in the directory listing.
Not certain from the listing — The platform is closed-source and freemium, but there is no mention of enterprise security controls, access management, or compliance certifications (e.g., SOC2, GDPR).
Not certain from the listing — While it is an agent development platform, there is no explicit mention of a multi-agent marketplace or direct agent-to-agent interaction protocols.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).