Topic starter
24/12/2025 9:39 am
TL;DR: Agentic AI in financial services is pushing organisations beyond impersonation toward delegation, agent-level identity and digital public infrastructure, according to Raidiam’s panel discussion and referenced industry forecasts. Legacy human-centric identity models cannot provide the auditability, accountability and least-authority controls needed when autonomous agents act on behalf of customers and businesses.
Editorial analysis by NHI Mgmt Group, based on content published by Raidiam: “From Impersonation to Delegation: Agentic AI Transforming Financial Services”.
By the numbers:
- Gartner forecasts that by 2028, autonomous agents will drive 20% of digital storefront interactions and make 15% of daily work decisions in financial services.
Key questions
Q: What breaks when agentic AI is treated like a human user in financial services?
A: Human-style impersonation hides the real actor, blurs accountability and weakens auditability.
Q: Why does delegation reduce risk for autonomous agents in banking and payments?
A: Delegation reduces risk because it limits authority to a defined purpose instead of letting an agent inherit broad human permissions.
Q: How do security teams know whether an agent identity is actually governed?
A: An agent identity is governed only when teams can identify the owner, locate the credentials, define the allowed scope, and revoke access without hunting across endpoints or backup files.
Practitioner guidance
- Define agent-scoped delegation Map each autonomous use case to a specific purpose, maximum authority and explicit decision boundary, rather than extending a human session into machine execution.
- Separate impersonation from identity Prohibit production patterns where an agent reuses a user's credentials or session for ongoing actions, and replace them with a unique auditable agent identity.
- Instrument audit trails for agent actions Log the agent, the delegated scope, the triggering context and the downstream system touched so reviewers can reconstruct who acted and under what authority.
Bottom line: Agentic AI in finance exposes the limits of human impersonation because autonomous systems need explicit authority, not borrowed identity.
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This topic was modified 10 months ago by Abdelrahman
This topic was modified 2 days ago by NHI Mgmt Group
11/10/2026 4:14 am
Delegation is the first real identity boundary for agentic finance: once an AI system can choose actions at runtime, the security question is no longer who it copies but what authority it receives. Human impersonation hides that boundary and leaves audit trails attached to the wrong actor. Financial services teams should therefore treat agent identity as a governed control plane, not an implementation detail.
A few things that frame the scale:
- 53% of security leaders expect AI to run major portions of their infrastructure autonomously within the next three years, according to the 2026 Infrastructure Identity Survey.
- 40 percent of financial and software companies have already deployed agentic AI systems, and deployments are expected to double by 2028.
A question worth separating out:
Q: What role does digital public infrastructure play in agentic AI trust?
A: Digital public infrastructure provides shared, standards-based trust rails so agent identity and delegation work consistently across services and organisations. Without it, every integration becomes a local exception, which increases fragmentation and weakens auditability. For practitioners, the value is interoperability with governance rather than interoperability alone.
👉 Read our full editorial: Agentic AI in financial services needs delegation, not impersonation