Digitalization, cloud services, connected supply chains and artificial intelligence are creating new opportunities, but they are also changing what customers, regulators and business partners expect from organizations.

Today, it is no longer enough to state that information and systems are secure. Organizations are increasingly expected to demonstrate that digital technologies are governed securely, transparently, responsibly and with clear accountability.

In this webinar recording, DQS experts Ingo Unger and Dipan Sengupta examine how management systems can help make digital trust demonstrable, auditable and scalable. They explain how ISO/IEC 27001 provides a structured foundation for information security and how ISO/IEC 42001 extends this approach to the governance of artificial intelligence.

Register now and receive free access to the webinar recording “Building Digital Trust in Practice: Integrating ISO/IEC 27001 and ISO/IEC 42001 for Cybersecurity and AI Governance.”

What you will learn

The webinar explores:

  • Why digital trust is becoming a board-level, procurement and market-access topic
  • How digital trust goes beyond traditional cybersecurity
  • The role of governance, accountability and evidence in building stakeholder confidence
  • How ISO/IEC 27001 structures the management of information security risks
  • How ISO/IEC 42001 addresses AI-specific risks, responsibilities and lifecycle governance
  • How information security and AI governance can be connected through shared management-system processes
  • How an integrated approach can reduce fragmented responsibilities and duplicated documentation
  • How demonstrable digital trust can strengthen customer confidence, resilience and market positioning

Duration: 1.5 hours

From security to demonstrable trust

ISO/IEC 27001 establishes the requirements for an Information Security Management System, or ISMS. It enables organizations to manage information security risks systematically through defined responsibilities, risk assessments, controls, monitoring, internal audits and continual improvement.

ISO/IEC 42001 establishes the requirements for an Artificial Intelligence Management System, or AIMS. It provides a framework for governing the responsible development, provision and use of AI systems, including AI risk management, impact assessments, human oversight, transparency and lifecycle control.

When these management systems are aligned, organizations can build a more coherent approach to digital governance. Shared processes for scope, risk management, supplier oversight, evidence, auditing and management review can make trust easier to manage—and easier to demonstrate.

Security protects systems. AI governance protects decisions. Together, they strengthen digital trust.

Who should watch this webinar?

This recording is relevant for:

  • Information security and cybersecurity professionals
  • AI governance and responsible AI teams
  • Chief Information Security Officers and Chief Information Officers
  • Risk, compliance and data protection professionals
  • Senior managers responsible for digital transformation
  • Organizations developing, providing or using AI systems
  • Organizations considering certification according to ISO/IEC 27001 or ISO/IEC 42001

Any questions?

Would you like to learn more about certification according to ISO/IEC 27001 or ISO/IEC 42001? Our experts will be pleased to clarify the certification requirements, explain the assessment process and answer your questions.

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