← Aggiii AI-Professional AI Platform
Aggiii AI-Professional AI Platform — agentic threat model
Aggiii AI is primarily a generative content platform with low agentic risk, where the primary threats stem from model abuse (e.g., deepfakes, bypass of safety filters) and API resource exhaustion rather than autonomous decision-making or tool execution.
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 | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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.
Utilizes Google Gemini technology and other generative models for text-to-image and text-to-video. Primary threats include adversarial prompt injection to bypass safety filters, generation of harmful/copyrighted content, and model exploitation.
Not certain from the listing — No details are provided regarding training data curation, fine-tuning datasets, or vector databases. General risks include data provenance gaps and potential copyright infringement from training inputs.
Not certain from the listing — The platform functions as a direct generation pipeline rather than a complex agentic framework. General risks include insecure prompt construction and lack of input validation before passing to the model.
Not certain from the listing — Hosting and infrastructure details are omitted. Given the high-speed generation (3-10s), it relies on heavy GPU infrastructure, making it a target for API abuse, denial of service, and resource exhaustion.
Not certain from the listing — No mention of content moderation guardrails, output evaluation, or observability tools. General risks include blind spots in detecting automated abuse or policy-violating generations.
Not certain from the listing — No security compliance (e.g., SOC2) or identity management details are provided. General risks include weak API key management and lack of content provenance tracking (e.g., watermarking).
Not certain from the listing — There is no indication of multi-agent orchestration or marketplace integrations. General risks are limited to downstream applications consuming the generated images/videos via the API.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).