JoAi — agentic threat model
JoAi presents a high-risk profile due to its integration of Web3 digital wallets and external communication channels (Slack, Telegram) with autonomous workflow execution. A compromise of this agent could lead to direct financial theft and sensitive data exfiltration across multiple platforms.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.30 | |
| 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 — likely relies on commercial LLMs for multi-modal (image, voice, text) capabilities; vulnerable to prompt injection, adversarial inputs, and model misalignment.
Not certain from the listing — handles document analysis and web search, which introduces risks of data poisoning, embedding inversion, and unauthorized data exfiltration via malicious documents.
Orchestrates complex workflows ('warps') and Web3 transactions. High risk of tool misuse, insecure tool integration, and unauthorized execution of blockchain transactions if prompt injection occurs.
Not certain from the listing — runs in 'cloud mode' and manages Web3 wallets, requiring robust secrets management (private keys) and sandboxing to prevent container compromise or lateral movement.
Not certain from the listing — lacks explicit mention of guardrails, transaction simulation, or observability tools, creating blind spots for anomalous agent behavior or unauthorized transactions.
Not certain from the listing — handles highly sensitive data (Web3 private keys, Apple Health, Slack) but lacks documented compliance certifications (e.g., SOC2) or explicit authorization policies.
Not certain from the listing — integrates with external ecosystems (Slack, Telegram, Web3 chains), exposing the agent to cascading failures and trust abuse from compromised external channels.
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.