SoundWise.ai — agentic threat model
SoundWise.ai is a low-risk, single-purpose utility tool for audio/video transcription with minimal agentic capabilities, posing risks primarily related to data privacy and file-upload processing rather than autonomous action.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.20 |
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 an Automatic Speech Recognition (ASR) foundation model (such as Whisper). Potential threats include adversarial audio inputs designed to manipulate transcription outputs or cause model denial of service.
Not certain from the listing — processes user-uploaded audio and video files. Primary threats involve data exfiltration, unauthorized retention of sensitive user recordings, and lack of clarity regarding whether uploaded data is used for model retraining.
Not certain from the listing — the tool appears to operate as a static pipeline rather than an agentic framework. Traditional agent threats like tool misuse, prompt injection-driven planning loops, or memory poisoning are likely not applicable.
Not certain from the listing — browser-based access implies a web frontend communicating with backend processing servers. Key threats include server-side vulnerabilities during file parsing (e.g., buffer overflows via malicious media formats) and lack of sandboxing for file processing.
Not certain from the listing — no observability, logging, or transcription guardrails are mentioned. This creates blind spots regarding system abuse, processing failures, or malicious file uploads.
Not certain from the listing — being a free, closed-source tool, there is no mention of compliance standards (e.g., GDPR, SOC2), data encryption standards, or user authentication mechanisms to protect uploaded intellectual property.
Not certain from the listing — operates as a standalone horizontal utility with no described multi-agent interactions, marketplace integrations, or ecosystem dependencies.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).