Baz — agentic threat model
Baz poses a moderate-to-high risk primarily due to its deep access to proprietary source code repositories. While its actions are limited to PR analysis and commenting, a compromise could lead to intellectual property theft or social engineering of developers via malicious review suggestions.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.60 |
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 — uses 'specialized models and embeddings' but specific LLMs are undisclosed. Risks include prompt injection via PR code/comments, leading to bypassed review policies or misaligned outputs.
Not certain from the listing — utilizes embeddings and project context. Risks include training/RAG data poisoning if malicious code is merged and indexed, or embedding inversion exposing proprietary IP.
Not certain from the listing — orchestrates PR analysis and policy enforcement. Risks include insecure tool integration with VCS APIs and potential manipulation of the orchestration logic via malicious PR payloads.
Not certain from the listing — closed-source paid platform. Risks include insecure storage of VCS access tokens (GitHub/GitLab OAuth) and lack of sandboxing when parsing untrusted code files.
Not certain from the listing — no mention of guardrails or monitoring. Risks include blind spots in detecting adversarial PRs designed to slip malicious code past the AI reviewer.
Not certain from the listing — customizable review policies exist, but compliance certifications (e.g., SOC2, ISO) are not mentioned. Risks include unauthorized policy modifications and lack of audit trails for configuration changes.
Not certain from the listing — operates primarily as a standalone VCS integration. Risks are low here unless it interacts with other CI/CD bots, potentially leading to cascading trust abuse.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).