Aide — agentic threat model
Aide presents a high-risk profile due to its deep integration into local developer environments, full codebase access, and multi-agent execution capabilities. While its privacy-first design mitigates some data leakage concerns, the potential for arbitrary code execution and repository compromise remains significant.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.90 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.80 | |
| Non-Determinism | 0.70 | |
| 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 — likely integrates external LLMs or local models for code generation; threats include prompt injection, model misalignment, and adversarial code generation.
Analyzes the entire local codebase. Threats include data exfiltration of intellectual property, codebase poisoning (malicious code in files influencing RAG/context), and embedding inversion.
Uses a multi-agent framework for collaborative problem-solving (SWE-bench style). Threats include insecure tool integration (executing generated code, running tests), tool misuse, and framework vulnerabilities.
Not certain from the listing — as an IDE, it likely runs locally on the developer's machine or in a container. If local, compromise leads to host-level privilege escalation and arbitrary code execution.
Not certain from the listing — lacks explicit details on runtime guardrails, logging, or anomaly detection for generated code execution.
Claims a 'Privacy-First Design' which may restrict telemetry or code exfiltration, but lacks formal compliance certifications (like SOC2) in the listing.
Features a multi-agent coding framework. Threats include cascading failures between agents, A2A trust abuse, and rogue agent behavior during complex code generation tasks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).