Most financial institutions can tell you which employees have access to their core banking systems. Far fewer can tell you how many non-human identities do. Service accounts, APIs, automated workflows, and AI agents now operate across financial environments with persistent access to sensitive systems and data, often with limited visibility or governance.
In 2026, the attack surface has outgrown traditional access governance models. The challenge is no longer simply managing workforce access. It’s governing the growing web of human and non-human identities spread across cloud, SaaS, and AI-enabled environments. Identity becomes the layer that governs how access is granted, used, and maintained. Many institutions already own the necessary identity tools, but the gap between what they think is secured and what is exposed is wider than most access audit reviews surface. Reducing that risk gap requires converging identity systems into a unified control plane that continuously governs workforce, customer, and non-human identity access alike.
AI has Rewritten the Rules of Credential-Based Attacks
Attackers targeting financial institutions have not changed in motive. Financial gain, disruption, and access to sensitive data still drive most attacks. However, AI-enhanced tactics have made attacks faster, more precise, and harder to detect.
Utilizing AI, adversaries can automate the discovery of exposed service accounts, generate convincing impersonations of legitimate users, and effectively mimic normal access behavior to evade tools built around anomaly detection. The practical consequence is that an attacker using legitimate, albeit compromised, credentials can move through financial systems for days or weeks before anything is flagged as unusual.
Formerly viewed as just a control point, identity has become the primary attack surface. Institutions that have recently experienced account takeover or insider-adjacent incidents share a common thread: the initial access was not forced; it was authenticated.
Why Fragmented Identity Tools Leave Gaps
The move to cloud, SaaS, API-driven, and AI-enabled ecosystems has dissolved traditional infrastructure boundaries. Institutions now operate across distributed environments where identity is the primary control point for access and policy enforcement across users, systems, services, and data.
Most identity programs were not built as unified systems, but incrementally: a PAM solution after an audit finding, an IGA platform to satisfy a compliance requirement, and SSO added on top of existing infrastructure. Each tool addresses a specific problem but together create a fragmented picture of who and what has access to which resources. The gaps between these tools are where visibility breaks down. For example:
- Service accounts managed in one system don’t appear in another
- Entitlements granted through a third-party integration don’t surface in a standard access review
- AI agents operating across multiple platforms aren’t governed by any of them
The Non-Human Identity Problem is Bigger Than Most Programs Acknowledge
The conversation about identity governance in financial services still defaults to employees and customers, which made sense when human users represented the majority of access activity. Today, service accounts, API keys, RPA workflows, automated testing environments, and AI agents are governed inconsistently and rarely with the same rigor as human identities. Many do not have a defined owner, expiration date, or provisioning record.
Unlike service accounts with defined functions and predictable access patterns, AI agents can initiate actions across multiple systems in response to inputs that change in real time, inherit the privileges of whatever it operates under, and generate an audit trail that is difficult to interpret after the fact. Human oversight alone is not a reliable control, and most programs are not built for this.
Static Governance Creates Risk That Doesn’t Show Up Until It’s Too Late
Traditional governance models are based on static constructs such as roles, entitlements, and periodic access reviews. However, this approach cannot keep pace with dynamic cloud workloads and business operations. In modern environments, access conditions continuously change along with associated risk.
To reduce risk at scale, identity must be governed as a unified fabric spanning workforce, customer, and NHI identities. Access decisions should be dynamic, context-aware, and continuously evaluated. Many institutions are adopting real-time conditional access and time-bound models that grant permissions only when required and revoke them when conditions change. AI solutions can enhance this model by generating more precise recommendations, identifying anomalous entitlement patterns, and reducing manual effort in certification processes.
Access Drift Accumulates Between Reviews
Annual access certifications assume that access granted at one point in time remains appropriate until someone reviews it. In practice, roles drift, people change teams, and projects end, creating access drift that periodic certifications are too slow to catch. A reviewer confirming that a user still needs broad read access to a core system checks the box. It does not surface whether that access has been used recently, whether the pattern has changed, or whether the account is still under the control of the person it was provisioned for. Privileged accounts and identities with access to regulated data or critical systems warrant continuous review because a missed entitlement in these areas carries the most consequence.
Static certifications address provisioning but do not address behavior. A SIEM can flag a login from an unusual geography but cannot determine whether the access pattern that follows is consistent with how that account normally behaves. This distinction matters because adversaries using valid credentials do not look like attackers until there is enough behavioral context to recognize the deviation.
Compromised credentials, misused legitimate accounts, and insider risk are real and persistent, but the differentiator is how quickly they are identified and contained. This depends on behavioral context that static governance programs are unable to provide.
Least Privilege is Harder in Practice Than it is in Principle
Access that is not inventoried cannot be governed. A complete inventory of every identity in the environment, mapped to what each one can actually reach, surfaces how far access has drifted from function: service accounts with domain admin privileges, API integrations with read-write access to systems they only need to read, former employees whose accounts were disabled but whose service account dependencies were not.
Remediation should be prioritized by risk, such as accounts touching banking systems, customer data, or regulated environments. For non-human identities, the priority is anything with standing privileged access and no defined owner or expiration policy. Sustainable least privilege requires a process that demands justification for access rather than justification for removal; without that shift, remediation remains a one-time cleanup rather than an ongoing control.
Regulatory Requirements Establish a Floor, not a Ceiling
Compliance orients programs around what auditors check. That is not the same list as what attackers exploit. An access review completed on schedule satisfies the examiner but does not close the gap created by a service account provisioned years ago with permissions that were never scoped down.
Regulatory requirements are more useful as a forcing function than a finish line. DORA’s incident detection timelines push toward continuous monitoring that also shortens dwell time for credential-based attacks. SEC disclosure requirements create pressure to detect faster, which requires infrastructure that static governance programs generally do not have. Building toward those capabilities serves the compliance requirement and the actual security objective at the same time.
What Strong Identity Governance Actually Looks Like in Financial Services
For financial institutions, effective identity governance is no longer about managing disconnected tools or employee access. It requires governance, privileged access, customer identity, and threat detection to operate as a unified framework. Institutions that achieve this gain complete visibility into every identity in the environment, defined ownership across IT, security, and business teams, and real-time access decisions informed by behavioral analytics, visibility, and AI-assisted risk detection.
For immature programs, the most valuable starting point is accurately answering three questions: what identities exist in the environment, what each one can access, and who is accountable for each. Most institutions find this exercise harder than expected and more revealing than any formal assessment. The answers determine where the real exposure is and what needs to be prioritized.