AI Security & Governance
You want to implement Artificial Intelligence without losing control, security, or trust. AI Security & Governance ensures that your AI systems are operated in a transparent, secure, and auditable manner.
ISO/IEC 42001 – The Standard for Trustworthy Artificial Intelligence
ISO/IEC 42001 provides the international framework for managing AI systems in a structured, secure, and responsible way. Gain the necessary expertise through our ISO/IEC 42001 Foundation, Implementer, or Auditor courses.
AI Security & Governance – Managing AI Safely, Align and Compliantly
Artificial Intelligence has long been in productive use—from generative AI and security copilots to automated decision-making processes. However, as adoption grows, so do the risks. Data leaks, uncontrolled models, new attack surfaces, and regulatory uncertainties make it clear that the use of AI requires clear structures, responsibilities, and governance.
AI Security & Governance creates the framework to operate AI systems securely, manage risks proactively, and build trust with customers, employees, and regulatory authorities. With practical training and internationally recognized certifications, Digicomp provides the skills needed to professionally implement AI governance, AI security, risk management, and audits within your organization.
What is AI Security & Governance?
AI Security & Governance describes the interplay of policies, processes, technical controls, and management systems that enables the secure, transparent, and responsible use of AI throughout its entire lifecycle. The goal is to foster innovation while simultaneously ensuring security, traceability, and compliance.
International standards such as ISO/IEC 42001 for AI management systems and ISO/IEC 27001 for information security form the foundation for structured and auditable implementation. This is exactly where training programs like ISO/IEC 42001 Foundation, Implementer, and Lead Auditor, as well as ISACA® Advanced in AI Security Management and AI Audit™, come into play.
AI Security Challenges in the Enterprise
When implementing AI, organizations face new risks: uncontrolled data flows, a lack of transparency in models and decision-making, and new attack vectors such as prompt injection or model poisoning. At the same time, requirements for governance, clear responsibilities, and regulatory accountability are increasing. These issues are systematically addressed in our training programs—from governance structures and AI-specific risk management to operational security and auditing.
Implementing Effective AI Governance
Effective AI governance doesn’t start with technology; it starts with clear guardrails. Defined roles, binding policies, and a management system covering the entire AI lifecycle are crucial. Specifically, our ISO/IEC 42001 Implementer and Lead Auditor courses empower participants to not only design governance structures but also to implement and evolve them operationally.
Protecting AI Systems from Data Leaks
Protecting sensitive data is a central challenge when using AI. Data leaks often result from unclear responsibilities, a lack of transparency, and inadequate security architectures. Our training programs bridge the gap between governance requirements and technical implementation, demonstrating how to operate AI systems compliantly and secure them effectively in daily operations