GitLab Duo — agentic threat model

Not certain from the listing — the specific foundation models powering GitLab Duo are not disclosed in the directory listing, though they likely involve proprietary or hosted LLMs. Threats include adversarial prompt injection to bypass code safety filters or model reprogramming to generate malicious code suggestions.

Not certain from the listing — while it operates on repository codebases to provide suggestions and vulnerability resolution, the exact data pipeline, vector database, or RAG mechanism is not detailed. Risks include codebase context poisoning or unauthorized data exfiltration via crafted code comments.

Not certain from the listing — the orchestration framework for executing test automation and vulnerability resolution is not specified. Insecure tool integration could allow an attacker to trigger unintended code execution or tool misuse during automated test generation.

Not certain from the listing — the hosting infrastructure (SaaS vs. self-managed runner environments) is not detailed. If test automation runs in unsandboxed environments, it poses severe risks of container escape, privilege escalation, or lateral movement.

Not certain from the listing — the mechanisms for monitoring AI outputs, detecting drift, or logging malicious prompt attempts are not described. Gaps here could lead to undetected generation of insecure code or silent failures in vulnerability resolution.

Not certain from the listing — although it claims to help maintain control and transparency, specific access controls, compliance certifications, or audit logging features are not detailed. Weak authorization could allow unauthorized users to trigger AI-driven code changes.

Not certain from the listing — there is no mention of multi-agent coordination or marketplace integrations in the provided description. The primary risk remains isolated to the single-agent DevSecOps integration.