Devra — agentic threat model
Devra presents a high agentic risk profile due to its capability to directly create and update code files across multiple operating systems. While its collaborative planning step provides some human-in-the-loop mitigation, the lack of explicit sandboxing or security guardrails in the listing leaves it vulnerable to prompt injection and host compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.70 | |
| 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 — Devra's underlying foundation models are not specified. Standard LLM risks like prompt injection could lead to malicious code generation or unauthorized file modifications.
Not certain from the listing — The agent learns about the project it is introduced to, implying local codebase indexing or RAG. Risks include codebase poisoning where malicious comments or files manipulate the agent's output.
Devra uses a planning and execution framework to propose development plans and directly modify code files. Insecure tool integration is a major threat, as malicious requirements could hijack the file-writing tool to overwrite critical system files.
Not certain from the listing — Devra runs across Mac, Windows, and Linux, but the listing does not specify if it runs in a sandboxed environment. Without sandboxing, direct file modification poses a severe risk of host compromise.
Not certain from the listing — No explicit monitoring, logging, or guardrails are detailed. The lack of observability could allow silent generation of backdoored code or unauthorized file edits to go unnoticed.
Not certain from the listing — There is no mention of enterprise security controls, access policies, or compliance certifications. Access to Jira and local files requires robust credential management which is not detailed.
Not certain from the listing — Devra appears to operate as a standalone coding assistant with no explicit multi-agent or marketplace integrations described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).