Vizcept — agentic threat model
Vizcept is a low-risk, utility-focused AI tool for text-to-diagram generation with minimal agentic autonomy, presenting primary risks around malicious SVG generation (XSS) and prompt injection rather than systemic agentic failures.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| 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 | 0.30 | |
| 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 a foundation LLM or specialized text-to-image/SVG model. Primary threats include prompt injection to bypass content filters or generate offensive/misleading diagrams, and potential model reprogramming.
Not certain from the listing — processes user-provided text descriptions to generate diagrams. Risks include data exfiltration of sensitive academic or proprietary research text submitted by users, and lack of data lineage for training inputs if self-hosted.
Not certain from the listing — likely uses a simple deterministic pipeline rather than a complex agentic framework. Main threat is insecure tool integration if the system executes untrusted code or libraries to render SVG/4K outputs.
Not certain from the listing — deployment could be cloud-hosted or local (given the 'Open Source' tag). If cloud-hosted, threats include server-side resource exhaustion during 4K rendering and SSRF if the generator fetches external image assets.
Not certain from the listing — no observability or input/output guardrails are detailed. Gaps here could allow users to generate abusive, copyrighted, or malicious content (e.g., embedded scripts in SVG exports) without detection.
Not certain from the listing — no compliance certifications (like SOC2) or enterprise identity controls are mentioned. Standard risks include weak access controls over user-generated diagram repositories.
Not certain from the listing — the tool operates as a standalone horizontal utility with no apparent multi-agent orchestration or marketplace integrations, making ecosystem threats minimal.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).