AiFA Labs — agentic threat model
Cerebro is an enterprise-grade AI platform with high potential impact due to its integration with critical business systems like SAP and IoT, though it claims robust governance and compliance controls to mitigate these risks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.40 | |
| 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.
Cerebro explicitly supports multi-model architectures, exposing it to foundation model risks such as adversarial prompt injection, model extraction, and misaligned outputs across different integrated LLMs.
Not certain from the listing — Cerebro supports text and imagery generation alongside process automation, but specific vector databases, RAG pipelines, data lineage, or training data protections are not detailed.
Not certain from the listing — while Cerebro is an orchestration platform for deploying AI applications and automating workflows, the specific agent framework, memory mechanisms, or tool-calling architectures are not explicitly detailed.
Not certain from the listing — Cerebro is designed for enterprise-grade deployment and integration (including SAP, IoT, and cloud), but specific sandboxing, containerization, or secrets management details are not provided.
Not certain from the listing — MLOps capabilities are mentioned, but specific evaluation frameworks, real-time drift detection, or observability guardrails are not explicitly defined.
Cerebro emphasizes compliance, governance, and robust controls for enterprise-grade AI, aiming to ensure adherence to industry regulations, though specific certifications (like SOC2 or ISO) are not explicitly named.
Not certain from the listing — Cerebro acts as an enterprise platform for deploying multiple AI applications, but specific multi-agent collaboration protocols, marketplace trust boundaries, or cascading failure protections are not detailed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).