PaidAI — agentic threat model
PaidAI acts as a financial orchestration and billing layer for AI agents, presenting high transactional and financial risks if compromised, despite having low autonomous planning capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.20 | |
| 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.
Not certain from the listing — The platform supports multiple AI models for tracking and billing, but the specific foundation models used internally and their vulnerability to prompt injection or alignment issues are not disclosed.
Not certain from the listing — It tracks costs and usage data for AI agent workflows, but the storage mechanisms, data lineage, and protection against data exfiltration of sensitive financial metrics are unspecified.
Not certain from the listing — The orchestration framework managing the automated pricing and subscription logic is not detailed, leaving potential risks around insecure tool integration for payment gateways unverified.
Not certain from the listing — The hosting infrastructure, secrets management for API integrations, and network sandboxing are not described in the public directory.
Not certain from the listing — While the platform provides executive reporting for ROI and cost tracking, the internal guardrails, anomaly detection for billing discrepancies, and security logging are not detailed.
Not certain from the listing — Despite handling sensitive billing, subscription, and payment data, the listing does not explicitly cite compliance certifications such as PCI-DSS, SOC2, or specific identity and access management controls.
PaidAI is deeply integrated into the agent ecosystem, tracking costs and billing for other AI agents' actions. This creates a high risk of cascading failures or financial exploitation if downstream agents are compromised and manipulate their reported activity.
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.