Integrating Identity into AI (Identity-Aware by Design)
Combined Session
Thursday, May 08, 2025 12:05—13:05
Location: B 05
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Thursday, May 08, 2025 12:05—13:05
Location: B 05
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A new kind of non-human identity is emerging and disrupting the way we do business: Agent AI.
Agent AI—also known as Agency or Agents—refers to software entities capable of a degree of autonomous behavior. These agents can independently accomplish multistep, complex goals without requiring constant human intervention. In the near future, a drastically shifted identity landscape—dominated by AI agents—will require us to enable these Agent AI teammates to operate efficiently, while ensuring they remain governed and controlled by humans.
In this highly autonomous world, the roles of governance and security will be more critical than ever.
- Top 10 security and governance challenges around Agent AI
- Principal differences between Agent AI, other non-human identities and human identities governance
- Which existing IGA tools/methodologies/practices will work well with Agent AI
- How to include Agent AI into current IGA program
- Agent AI and Identity First Security
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Quad Inc. is a U.S.-based company offering integrated services ranging from creative production to data-driven media management. Serving over 2,700 clients, Quad employs more than 13,000 people across 14 countries.
With such a diverse workforce and hundreds of applications within our Identity Governance and Administration (IGA) perimeter, our identity governance processes significantly impact the user community. As a result, drastically improving the IGA-related user experience became a strategic imperative.
This case study will share our practical experience implementing Conversational IAM tools, transitioning to a natural language chatbot interface that allows users to express their needs in their native language—eliminating frustration caused by complex navigation or translation gaps, proving that sometimes, all you need is a little help from "mAI friends".
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Our clear goal was to empower users to manage their day-to-day operations—such as tracking requests and requesting access—in a guided, intuitive way using natural language.
In this session, we will share how we achieved this ambitious target without any additional cash investment.