Weaviate — agentic threat model
Weaviate acts primarily as an enabling infrastructure component (vector database/memory) rather than an autonomous agent, presenting high data-poisoning and exfiltration risks but minimal direct agentic execution risks.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.90 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.30 |
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 — Weaviate integrates with external machine learning models for vectorization but does not host or define the foundation models directly.
As an open-source vector database, Weaviate is highly critical to this layer. Primary threats include vector database poisoning, embedding inversion attacks to reconstruct sensitive source texts, and unauthorized data exfiltration via semantic search queries.
Not certain from the listing — Weaviate provides the memory storage layer for agent frameworks but does not execute agentic planning, orchestration, or tool-calling logic itself.
Weaviate's cloud-native architecture implies deployment in containerized environments (Kubernetes/Docker). Key threats include exposed database API endpoints, lack of network segmentation, and container escape vulnerabilities.
Not certain from the listing — The description does not specify built-in evaluation, logging, or guardrail mechanisms to monitor query drift or detect malicious embedding inputs.
Not certain from the listing — The listing does not detail specific security controls such as Role-Based Access Control (RBAC), encryption-at-rest, or compliance certifications (e.g., SOC2, ISO 27001).
Not certain from the listing — While Weaviate can serve as a shared knowledge base across multiple agents, it does not natively govern multi-agent ecosystems or marketplace interactions.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.