SoniqTools — agentic threat model
SoniqTools is a client-side audio utility suite rather than an active AI agent, presenting near-zero agentic risk. Its local-first, browser-based execution model inherently mitigates most data privacy and infrastructure threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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 — SoniqTools is described as a collection of browser-based audio utilities and does not explicitly mention using any foundation models or LLMs.
Runs entirely locally in the browser with no file uploads or external server storage, eliminating server-side data poisoning or exfiltration risks, though local browser cache security applies.
Not certain from the listing — There is no indication of an agent orchestration framework, planning, or LLM-driven tool calling; it appears to be a standard static web application.
Deployed as a client-side web application. The primary infrastructure risk is front-end hosting compromise (e.g., CDN compromise, malicious dependencies, or XSS), but there is no backend server infrastructure to compromise.
Not certain from the listing — No evaluation, logging, or observability guardrails are mentioned, which is typical for a local, privacy-focused client-side utility.
No signup or account creation is required, minimizing identity risks. Compliance posture is simplified as no user data is collected, stored, or processed on external servers.
Not certain from the listing — There are no multi-agent interactions or ecosystem integrations described; it operates as a standalone horizontal tool.
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.