AI Coding Compliance for DORA
The Digital Operational Resilience Act (DORA) establishes binding requirements for ICT risk management across the EU financial sector, effective January 2025. As financial institutions adopt AI coding agents to accelerate software delivery, DORA mandates that these tools operate within governed ICT risk frameworks with documented resilience, detection, and recovery capabilities. VibeFlow provides the governance layer that ensures AI coding agents meet DORA's requirements for ICT system management, third-party risk oversight, and operational continuity.
DORA Controls → VibeFlow Features
| Control | Description | VibeFlow Feature |
|---|---|---|
| Article 5 ICT Risk Management Framework | Financial entities shall have in place an internal governance and control framework that ensures an effective and prudent management of all ICT risks, including risks introduced by AI-assisted development tools. | Centralized Project Governance VibeFlow provides a structured governance framework for all AI coding activity. Every agent session is bound to a project with defined personas, permissions, and workflow rules, ensuring AI-assisted development operates within the organization's ICT risk management framework rather than as an ungoverned shadow IT tool. |
| Article 6 ICT Systems, Protocols, and Tools Governance | Financial entities shall ensure that their ICT systems and tools are reliable, resilient, and capable of supporting critical business functions under both normal and stressed conditions. | Persona-Based RBAC and Workflow Enforcement VibeFlow governs AI coding tools through role-based access control and enforced workflow transitions. Each agent persona (architect, developer, QA, security lead) operates within defined boundaries, ensuring AI coding systems are used in a controlled, auditable manner consistent with ICT governance requirements. |
| Article 9 Detection | Financial entities shall have mechanisms in place to promptly detect anomalous activities, including ICT-related incidents and vulnerabilities in ICT systems. | Execution Logs and Session Monitoring VibeFlow captures every AI agent action in immutable execution logs, including code generated, files modified, and tool invocations. Session heartbeats continuously verify agent health and detect anomalous behavior such as unexpected file access patterns or deviation from assigned work items. |
| Article 10 Response and Recovery | Financial entities shall put in place a comprehensive ICT business continuity policy, including response and recovery plans for ICT-related incidents. | Session Resumption and Context Persistence VibeFlow maintains persistent context files, design documents, and session state that enable full recovery of AI coding sessions after disruptions. If an agent session fails mid-task, the work item status, execution history, and project context are preserved, allowing a new session to resume exactly where the previous one stopped. |
| Article 11 Backup and Restoration | Financial entities shall maintain ICT backup policies and procedures, including restoration and recovery procedures and methods. | Git Commit Tracking and Work Item History All AI-generated code changes are tracked through git commit recording with full attribution. Work item histories, execution logs, and compliance findings are persisted independently of agent sessions, ensuring that a complete record of all AI development activity can be restored and audited even if individual sessions are interrupted. |
| Article 15 ICT Third-Party Risk Management | Financial entities shall manage ICT third-party risk as an integral component of ICT risk within their ICT risk management framework, including risks from AI tool providers and LLM service dependencies. | LLM Gateway and Vendor Oversight VibeFlow's LLM Gateway architecture provides a centralized control point for all AI model interactions, enabling financial entities to enforce Data Loss Prevention policies, monitor token usage, and maintain oversight of third-party LLM dependencies. This gives compliance teams visibility into how external AI services are used within development workflows. |
VibeFlow supports compliance with DORA by providing the technical controls listed above. VibeFlow does not certify compliance — achieving certification requires organizational policies, procedures, and third-party audits beyond technical tooling.
What DORA Auditors Evaluate in AI Coding Environments
DORA auditors examining AI coding tool usage within financial entities focus on several critical areas: evidence that AI development tools are integrated into the organization's ICT risk management framework rather than operating as ungoverned tools; proof that AI agent activities are continuously monitored with anomaly detection capabilities aligned to Article 9; documentation showing that AI coding sessions can be recovered and resumed in line with business continuity requirements under Articles 10 and 11; third-party risk assessments covering LLM providers and AI tool dependencies as required by Article 15; and evidence that AI-generated code undergoes the same change management and security review processes as manually written code. VibeFlow's governance framework, execution logging, and compliance tagging provide the structured evidence trail that auditors need to verify DORA compliance across AI-assisted development activities.
Risks of Ungoverned AI Coding
Development teams adopt AI coding agents outside the ICT risk management framework, creating shadow IT that bypasses DORA's governance requirements for financial sector ICT systems.
AI coding agents access sensitive financial data, modify critical configurations, or produce vulnerable code without triggering detection mechanisms required under Article 9.
Outages or security incidents at LLM providers disrupt AI-assisted development without documented contingency plans, violating DORA's ICT third-party risk management requirements.
AI agent sessions terminate during critical code changes without preserving context, violating DORA's backup and restoration requirements and potentially leaving code in an inconsistent state.
AI-generated code modifications lack the traceability required for DORA incident investigation, making it impossible to determine what an AI agent changed and why during a security incident.
Your developers are already vibe coding. Is your DORA audit ready for that?
VibeFlow provides the technical controls — audit trails, security review gates, compliance tagging, and policy enforcement — that support your DORA compliance program.
See the Audit Trail