Adkumo — agentic threat model
Adkumo presents a moderate-to-high risk profile due to its direct integration with social media ad platforms (Meta, LinkedIn) and its handling of sensitive brand assets. A compromise could lead to unauthorized ad publishing, brand defacement, and API credential theft.
OWASP AIVSS score rationale
| Autonomy of Action | 0.40 | |
| Goal-Driven Planning | 0.30 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| 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 relies on third-party LLMs for copy generation and diffusion models for image editing. Key threats include prompt injection leading to brand-inconsistent or offensive output generation, and potential model reprogramming.
Maintains a curated repository of proven ad creatives and stores user-defined 'Brand DNA' (voice, tone, colors, typography). Threats include unauthorized access to proprietary brand assets and potential poisoning of the shared ad template repository.
Orchestrates creative generation, visual restyling, and direct exports to Meta and LinkedIn. The primary threat is insecure tool integration, where prompt injection could hijack the export tool to publish unauthorized or malicious ads.
Not certain from the listing — likely hosted as a standard cloud SaaS. The critical threat is the insecure storage of third-party OAuth tokens (Meta, LinkedIn) and potential cross-tenant data leakage of brand assets.
Not certain from the listing — no mention of guardrails or output monitoring. Without robust content filtering, the agent could generate and directly export policy-violating creatives, leading to ad account bans.
Not certain from the listing — closed-source freemium model with no explicit compliance certifications (e.g., SOC2, GDPR) mentioned. Risks include weak access controls over brand profiles and API integrations.
Not certain from the listing — operates primarily as a standalone tool but connects directly to Meta and LinkedIn ecosystems. Threats include API abuse, rate-limiting, and cascading failures if downstream platform APIs change.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).