Audjust AI — agentic threat model
Audjust AI exhibits low agentic risk, operating primarily as a human-in-the-loop audio manipulation and generative tool with minimal autonomy, planning, or tool-use capabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.60 | |
| Opacity & Reflexivity | 0.50 |
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 specialized audio generation and processing models. Primary threats include adversarial audio prompts, model extraction, and intellectual property/copyright infringement from generated outputs.
Not certain from the listing — processes user-uploaded audio files and text prompts. Risks include data exfiltration of proprietary audio assets and potential data poisoning if user uploads are used for downstream model fine-tuning.
Not certain from the listing — likely uses a standard web API backend rather than a complex agentic framework. Risks involve insecure integration with underlying audio manipulation libraries (e.g., FFmpeg command injection).
Not certain from the listing — hosted as a paid/open-source web application. Key threats include remote code execution (RCE) via malformed audio file uploads exploiting parser vulnerabilities, and server-side resource exhaustion during heavy audio rendering.
Not certain from the listing — no observability or guardrail mechanisms are detailed. Risks include a lack of monitoring for abusive generation patterns or copyright-infringing outputs.
Not certain from the listing — no security compliance (e.g., SOC2, GDPR) is specified. Risks include potential licensing non-compliance regarding open-source components and lack of robust user data deletion policies.
Not certain from the listing — operates as a standalone horizontal utility with no indicated multi-agent orchestration or marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).