Trust, Risk, and Reward: Building the Identity Fabric for Agentic AI in Financial Services
Agentic AI is changing how banks, insurers, and wealth managers automate decisions, interact with customers, and manage risk. As AI agents take on more autonomous actions, organizations need identity controls that establish who—or what—is acting, what they are authorized to do, and how their actions can be traced. This Ping Identity and Deloitte whitepaper explores how an identity fabric built on verified identity, consent, and auditability can help practitioners deploy agentic AI securely and responsibly.
Key Takeaways
- Establish identity and traceability for AI agents: Connect every agent, transaction, and decision to verified identities and maintain continuous visibility into AI-driven activity.
- Strengthen access, consent, and compliance controls: Embed authorization, consent management, and audit capabilities into AI workflows to manage risk and support requirements such as the EU AI Act and DORA.
- Secure autonomous AI workflows: Apply identity-aware controls and governance across agentic AI use cases in banking, insurance, and wealth and asset management.
- Enable trusted AI adoption: Create the identity foundation needed to scale agentic AI while maintaining security, compliance, accountability, and customer trust.
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