Redefining Identity in a Digital World aka: A tale of two standards
As digital interactions become more complex, personal identity is at the center of security, privacy, and trust. Traditional identity models often fail to balance security with user autonomy, leading to over-reliance on centralized data, privacy risks, and friction in digital experiences. This workshop explores the evolution of personal identity, focusing on standards surrounding mdocs and verifiable credentials, decentralized identity, as well as self-sovereign identity (SSI). Attendees will learn how to navigate the shift toward user-controlled identity models while ensuring compliance, security, and interoperability in a rapidly evolving landscape.
the speakers
Lee Campbell
Identity and Authentication Lead for the Android Platform
Google
Tim Cappalli
Sr. Architect, Identity Standards
Okta
Christine Owen
Field CTO
1Kosmos
Nick Steele
Principal Architect
1Password
Teresa Wu
Vice President, Smart Credentials & Access
IDEMIA Public Security
The history of the ISO and W3C standards, including its differences and similarities.
Why personal identity models need to evolve—limitations of centralized identity, risks of data over-collection, and challenges of static identity attributes.
Benefits of mdocs, decentralized identity, self-sovereign identity (SSI), and verifiable credentials in enhancing security and privacy.
Emerging standards and technologies shaping the future of personal identity (e.g., DID, Verifiable Credentials, OIDC4VP, ISO 18013-7).
Current challenges and opportunities—what is feasible today, what organizations can prepare for, and what remains in development.
How privileged access and authentication frameworks can leverage decentralized identity principles.
Actionable recommendations for implementing user-centric identity models in security architectures.
Potential use cases and interoperability between different vendors and technology standards.
Identity Architects and Engineers
Professionals designing and implementing identity systems who want to transition from centralized models to decentralized, user-controlled frameworks.
Security and Privacy Professionals
Experts focused on securing identity ecosystems, mitigating privacy risks, and improving authentication methods.
IAM (Identity and Access Management) Specialist
Practitioners responsible for managing identity verification, authentication, and privileged access controls.
Compliance and Regulatory Experts
Individuals ensuring identity solutions align with global privacy regulations (e.g., GDPR, CCPA) and data protection policies.
Technology and Business Leaders
Decision-makers evaluating the benefits of decentralized identity for security, business agility, and user experience.
Developers and Product Managers
Professionals building digital identity solutions and integrating emerging standards like DIDs and Verifiable Credentials.
Large Language Models (LLMs) are rapidly transforming the IAM landscape, but how do they actually work, and how can they be applied effectively?
Traditional identity systems are under pressure from outdated architectures that over-collect and retain data, leading to inaccurate decisions and increased risk.
Understanding and addressing the emerging risks of Non-Human Identities (NHIs) is essential in an era of increasing cyber threats and evolving technologies.
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