Pykaso.ai — agentic threat model
Pykaso.ai is a generative media tool suite with low agentic autonomy but high potential for abuse in creating deepfakes and synthetic identities. The primary risks stem from non-deterministic output generation and data privacy concerns regarding uploaded facial assets.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| 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 — Uses closed-source generative vision and video models. Primary threats include adversarial inputs to bypass safety filters, model stealing of proprietary fine-tuned models, and generation of harmful/misaligned synthetic media.
Not certain from the listing — Requires storage and processing of user-uploaded face images to maintain 'consistent' AI influencers. Threats include unauthorized access to user-uploaded biometric/facial data and poisoning of reference image datasets.
Not certain from the listing — Orchestration is likely a simple pipeline triggering asynchronous image/video generation APIs rather than a complex agentic framework. Threats include API abuse and insecure parameter handling during tool execution.
Not certain from the listing — Relies on high-performance GPU processing for instant generation. Threats include GPU resource exhaustion (DoS) due to the asynchronous 'unlimited' generation model, and container/host compromise.
Not certain from the listing — No mention of content moderation, deepfake detection, or output guardrails. Threats include the unchecked generation of non-consensual face swaps, CSAM, or political misinformation.
Not certain from the listing — Closed-source, paid SaaS. Threats include non-compliance with emerging synthetic media regulations (e.g., EU AI Act watermarking requirements) and lack of robust user identity verification.
Not certain from the listing — The tool operates as a standalone content creation suite with no apparent multi-agent or marketplace ecosystem features.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).