As organizations seamlessly navigate between on-premises, cloud-based, and offline resources while harnessing the power of AI, the need to verify and manage user identities with precision has never been more vital. Strong identity-based access to applications not only fortifies security by allowing organizations to grant privileges based on verified identities, buy it also enables real-time threat detection, compliance adherence, and adaptive scalability. You’ll always know with certainty who is connecting to what and what they’re doing while they’re connected. Join us to explore how this approach empowers modern hybrid organizations to strike the delicate balance between safety, security, user experience and the transformative potential of true digitalization.
This session aims to explore the practicalities and paradigms of integrating AI identities into current and future digital infrastructures. Topics will include the regulatory and governance challenges posed by autonomous AI operations, the technical requirements for creating and managing AI identities, and the technical and even legal considerations of recognizing AI as identifiable entities, focusing on accountability and traceability within various frameworks.
Lack of control and controllability is increasingly a problem in many internal IT departments today. The complexity of the solutions used has steadily increased. It is therefore all the more important that information security systems are optimally set up and easy to operate and administer.
Establishing a risk class-based access management system makes sense for many reasons. In addition to meeting compliance requirements such as ISO27001, BSI IT-Grundschutz or industry standard 62443 and integrating seamlessly into a risk-based approach followed in the information security management system, this approach promotes the regaining of control over all possible accesses to company or organisational systems, regardless of these requirements.