NIS 2.0 Compliance for AI Systems – Aligned with the AIGN Governance Framework

NIS 2.0 Strengthening AI System Resilience and Security under the EU’s New Cyber Directive

Why Cybersecurity Compliance Now Includes AI Governance. AI systems are increasingly embedded in critical infrastructure, from healthcare and energy to public administration and finance. As a result, they are no longer just innovation tools — they are cyber assets subject to security, continuity, and accountability obligations. The EU’s new NIS 2.0 Directive expands the scope of cybersecurity regulation and applies directly to organizations that develop or deploy AI in sensitive sectors.

The AIGN Framework translates these requirements into AI-specific governance architecture — ensuring that resilience, traceability, and risk control are not just general IT principles, but part of your AI system’s operational design.

The NIS 2 Directive (Directive (EU) 2022/2555) is the EU’s updated and expanded cybersecurity law, designed to protect critical infrastructure and essential services from digital threats. In force since January 2023 and enforceable from October 2024, NIS 2.0 significantly raises the bar for security, incident response, supply chain risk, and executive accountability.

While not AI-specific, NIS 2.0 applies to any organization using AI within sectors such as:

  • Health, energy, banking, and transport
  • Digital infrastructure (e.g., cloud, data centers, DNS, social platforms)
  • Public administration and research

If AI is embedded in essential services or high-risk infrastructure, it must comply with NIS 2.0 security and resilience requirements.

NIS 2.0 applies even if AI is a component, not the main system

The AIGN AI Governance Framework integrates NIS 2.0 obligations into its risk, security, and accountability architecture. AI systems often become attack vectors or resilience bottlenecks—AIGN ensures they’re governable, secure, and incident-ready.

NIS 2.0 ObligationAIGN Framework ComponentDelivered Benefit
Cyber Risk ManagementSecurity & Robustness Indicators, Data Governance ToolkitBaseline protection of models, data, and infrastructure
Incident Reporting & ResponseIncident Response Lifecycle, Red Teaming, Escalation MatrixClear detection, containment, and escalation logic for AI-related failures
Supply Chain SecurityAI Lifecycle Templates, RACI Roles, External Vendor AuditsDownstream risk visibility and third-party accountability
Business ContinuityGovernance Heatmaps, Systemic Longevity ModelResilience scoring for AI systems and fallback strategies
Board-Level AccountabilityGovernance Playbooks, Responsibility MatricesExecutive oversight and documentation for liability mitigation

Unlike general IT systems, AI introduces dynamic, opaque, and adaptive risk patterns. AIGN builds security governance around:

  • Model Robustness & Adversarial Testing
  • Data Provenance & Consent Tracking
  • System Degradation & Lifecycle Expiry
  • Incident Detection for Goal Misalignment or Hallucination

This makes NIS 2.0 compliance AI-specific – and makes AIGN your ideal partner for demonstrating alignment.

AI-specific resilience requires going beyond perimeter security. AIGN embeds security into the lifecycle – from input quality to agentic behavior control.

SectorWhy AIGN Helps
Critical InfrastructureEmbed AI-specific cyber controls into essential services (e.g. smart grids, hospitals, airports)
Cloud & Digital ProvidersShow resilience of AI infrastructure components and tenant-facing services
Public AdministrationManage risks from AI in citizen services, automation, and procurement
Regulated Companies Using AIEnsure compliance traceability for embedded AI in business-critical systems
AI Developers Serving NIS 2-SectorsDemonstrate vendor trustworthiness and audit compatibility – with modular vendor templates to prove conformity during tenders or audits.
Public Administrationparticularly for e-government services, citizen-facing automation, and AI in public procurement processes
  • AI-specific Risk Scans integrated with organizational heatmaps
  • Red Teaming Protocols for ethical and security boundary testing
  • Role-based Escalation Models to satisfy supervisory expectations
  • Trust Label Infrastructure to signal compliance maturity
  • Templates for Reporting, Containment & Communication in line with Article 23

NIS 2.0 sets the cybersecurity expectation. AIGN delivers the AI-specific execution.

Together, they help organizations:

  • Turn resilience from reactive to proactive
  • Show board-level control over AI assets
  • Ensure public trust, uptime, and legal defensibility

✅ Run an AI Cyber Resilience Check with AIGN’s Security Indicators
📋 Request a NIS 2.0 Mapping for Your Sector or Infrastructure
📞 Book a Governance Consultation with AIGN Compliance Experts

Let’s make AI secure, accountable, and ready — together.