As artificial intelligence reshapes our digital ecosystem, securing trust has never been more critical. The ability to authenticate and authorize users—who can now be mimicked, manipulated by AI, or represented as legitimate AI agents—requires a paradigm shift. This session introduces Verified Trust, a transformative approach that integrates identity verification, authentication, authorization, device trust, and identity fraud protection to establish, maintain, and recover trust for both human and non-human entities.
We’ll explore:
- The unique challenges posed by AI, including deepfakes, fraud, and the emergence of AI agents disrupting traditional authentication and authorization frameworks.
- How modern identity technologies—such as identity graphs, adaptive authentication, and fraud prevention tools—can be leveraged to securely establish and scale trust.
- The role of emerging standards, compliance frameworks (like the AI Act), and advanced technologies in building future-proof solutions for AI identity management.
Attendees will gain actionable insights and real-world strategies to ensure the security and accountability of AI-driven interactions, enabling their organizations to embrace AI innovations confidently without compromising trust.
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