Adlove — agentic threat model
Adlove is a low-autonomy generative AI tool for ad creation with minimal agentic risk, primarily presenting data privacy risks regarding uploaded brand assets and potential brand reputation damage from unmoderated or manipulated ad generation.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| 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 third-party text, image, or video foundation models to generate ad variations. Risks include prompt injection leading to brand-damaging outputs or model reprogramming.
The platform stores user-uploaded brand assets and brand profiles ('input your brand details once'). This creates a risk of data exfiltration of proprietary marketing assets or unauthorized access to brand profiles.
Not certain from the listing — likely uses a deterministic pipeline or basic orchestration to map brand inputs to templates rather than a complex agentic framework. Risks include template injection or insecure asset processing.
Not certain from the listing — standard SaaS deployment. Risks include infrastructure compromise, unauthorized access to asset storage buckets, and resource exhaustion during video rendering.
Not certain from the listing — no mention of content moderation or output guardrails. There is a risk of generating inappropriate, copyrighted, or policy-violating ad content without automated detection.
Not certain from the listing — no security compliance, access controls, or data privacy standards are specified for the uploaded brand assets.
Not certain from the listing — operates as a standalone content generation tool with no indicated multi-agent interactions or external marketplace integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).