Digital identity as the foundation of agentic AI in the financial sector

Existing AI solutions in the financial sector, such as predictive models or analytical systems, have supported employees in making decisions. Even with advanced tools based on large language models, the ultimate responsibility for taking action remained with the human. Agentic AI introduces a completely new dynamic. Such systems can independently break down tasks into subsequent steps, gather the necessary data, initiate appropriate processes, and carry them out. They can also collaborate with other agents operating in different systems or organizations.

For banks, insurers, or asset management companies, this means the possibility of automating processes on a massive scale. However, the autonomy of the systems also creates new challenges. When financial decisions begin to be made by autonomous systems, questions arise about responsibility, control, and regulatory compliance. Financial institutions must be able to unambiguously determine which system makes the decision, on what basis it operates, and what data has been used in the decision-making process.

This is where Identity and Access Management (IAM) plays a role as the foundation for managing system autonomy. In the traditional access management model, IAM focused primarily on users and applications. In the era of agentic AI, this scope expands to new types of identities – autonomous agents, AI models, automation processes, and APIs. Each of these elements must have a unique digital identity, clearly defined permissions, and controlled access to data and organizational resources.

With the growing autonomy of AI systems, digital identity begins to function as a control system for the entire technological architecture. It allows for unambiguous identification of who a given agent is, what actions it can perform, what data it can process, and in what context it operates.

Solutions developed by Ping Identity have focused for years on building such a trust layer. In the context of agentic AI, the approach known as Identity for AI becomes particularly significant, integrating authentication, authorization, consent management, and auditing mechanisms into a cohesive identity management model.

This makes it possible to introduce the principle of least privilege even for autonomous agents. Each agent can perform only those operations necessary to carry out a specific task, and access to data is tightly controlled and linked to the operational context.

An equally important element is the ability to fully audit the actions of autonomous systems. Financial institutions must be able to demonstrate who or what made a given decision, what data was used, and what security policies were applied. The platform Ping Identity supports building such an audit trail coherently and in compliance with regulatory requirements.

In banking, autonomous systems can monitor transactions in real-time and respond to suspicious operations before actual fraud occurs. An agent can, for example, suspend a transfer, initiate additional client verification, or refer the matter for analysis by a security analyst. Thanks to identity management mechanisms, all these actions can be precisely documented and linked to a specific operational context.

In the insurance sector, agentic AI can automate the claims handling process. Agents representing the client, insurer, and business partners can exchange verified information and automatically resolve standard claims. The key aspect here is the ability to control data access and clearly determine who is responsible for specific actions.

In asset management, autonomous systems can monitor investment portfolios and automatically make adjustments in response to changing market conditions. However, for decisions that have a greater impact on investment strategy, human intervention is still necessary – this model is referred to as human-in-the-loop.

Identity Fabric as the foundation of trusted autonomy

The approach known as Identity Fabric, developed by Ping Identity, involves creating a cohesive layer integrating authentication, authorization, consent management, security policies, and auditing mechanisms.

Such an architecture allows organizations to combine technological innovations with security and regulatory requirements. Autonomous systems can operate faster and more efficiently, but at the same time, each of their decisions remains verifiable.

Agentic AI has the potential to significantly change the way the financial sector operates over the next few years. However, the development of this technology will only be possible if organizations can provide the appropriate level of trust, control, and transparency.

That is why digital identity is becoming one of the key elements in the architecture of future financial systems. Solutions such as the Ping Identity platform enable the building of a foundation that allows for the safe implementation of autonomous technologies while meeting the growing demands of regulators.

As a distributor of Ping Identity solutions, we support organizations in designing and implementing modern IAM strategies that help create safe, scalable, and user-friendly digital experiences. We are happy to discuss your needs, demonstrate the platform’s capabilities, and help select a solution tailored to the specific nature of your organization!