Capx AI — agentic threat model
Capx AI presents a high-risk profile due to the intersection of agentic AI with decentralized finance (DeFi), where agent compromise or marketplace vulnerabilities can lead to direct financial loss, smart contract exploits, and unauthorized asset transfers.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.60 |
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 specific foundation models powering the Capx AI agents are not disclosed, leaving threats like model-level backdoors or adversarial manipulation unquantified.
Not certain from the listing — No details are provided regarding data storage, vector databases, or RAG pipelines, though decentralized deployment suggests distributed data handling risks.
Capx provides a no-code AI development framework. Threats include insecure tool integration by end-users, prompt injection vulnerabilities in user-generated agents, and framework-level orchestration flaws.
Operating on an Ethereum Layer 2 (Capx Chain) and Capx Cloud. Key threats include smart contract vulnerabilities, validator compromise, consensus manipulation, and infrastructure-level exploits in the decentralized cloud.
Not certain from the listing — The listing does not mention specific evaluation, logging, or guardrail mechanisms for monitoring agent behavior or detecting drift.
Security is primarily anchored in crypto-economic principles and trust-minimized networks. Traditional compliance frameworks (e.g., SOC2, ISO) are not mentioned, and decentralized governance introduces unique regulatory alignment challenges.
Features an AI agent marketplace with fractional ownership and trading. High risk of rogue or malicious agents listed on the marketplace, cascading failures in multi-agent transactions, and economic exploits targeting fractional ownership models.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).