Maximus-AI — agentic threat model
Maximus-AI presents a moderate-to-high supply chain risk as a closed-source code generator, where the primary threat stems from the potential injection of security vulnerabilities or malicious backdoors into generated code without robust output sanitization or sandboxing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.50 | |
| 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 proprietary or third-party LLMs optimized for code, exposing it to prompt injection, model reprogramming, and the generation of syntactically correct but insecure code.
Not certain from the listing — likely ingests local codebase context to generate relevant code, raising concerns about data exfiltration, intellectual property leakage, and lack of data lineage controls.
Not certain from the listing — orchestration details are not provided, but integration with IDEs or developer environments poses risks of insecure tool execution or unauthorized local file system access.
Not certain from the listing — deployment infrastructure is undisclosed; risks include insecure API communication, lack of sandboxed execution environments for code validation, and potential host compromise.
Not certain from the listing — no evidence of real-time monitoring, output guardrails, or automated vulnerability scanning to detect and block insecure code generation before it reaches the developer.
Not certain from the listing — lacks explicit security certifications, access control policies, or compliance frameworks (e.g., SOC 2) regarding the handling and storage of proprietary developer code.
Not certain from the listing — no multi-agent coordination or marketplace ecosystem is described, limiting immediate agent-to-agent trust abuse risks.
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.