Clueso — agentic threat model
Clueso is a low-autonomy AI video and documentation generator that poses moderate security risks primarily centered around the exposure of sensitive data captured in raw screen recordings prior to editing or blurring.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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 — likely utilizes proprietary or third-party multimodal models for video analysis, text generation, and text-to-speech. Threats include adversarial inputs within screen recordings that could cause model misalignment or bypass content filters.
Not certain from the listing — ingests highly sensitive user data including screen recordings, slides, and branding assets. Risks include data exfiltration of unblurred credentials or PII captured during recording sessions, and lack of clarity on data retention policies.
Not certain from the listing — orchestrates sequential tasks such as video segmentation, translation, and voiceover generation. Vulnerabilities could arise from insecure integration with external translation or audio synthesis APIs.
Not certain from the listing — requires cloud-based hosting to perform resource-intensive video rendering and processing. Threats include container compromise or unauthorized access to cloud storage buckets containing raw and rendered video assets.
Not certain from the listing — no details are provided regarding automated guardrails or output validation. This creates risks of undetected translation errors, offensive voiceover generation, or failure to properly blur sensitive information.
Not certain from the listing — lacks explicit mention of enterprise security controls, access management, or compliance certifications (e.g., SOC2, GDPR), which are critical given the potential exposure of internal corporate workflows.
Not certain from the listing — operates as a standalone productivity tool with no described multi-agent interactions or third-party agent marketplace integrations, resulting in minimal ecosystem-level threats.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).