Financial services has always been identity-intensive. Banks, insurers, and payment processors run enormous estates of service accounts, API credentials, certificates, keys, and now AI agents, and each one is a non-human identity (NHI) that must be governed. Industry analysts increasingly describe machine identity in finance as the next security battle, and the description is accurate: the sector’s regulatory burden, its legacy estate, and its attractiveness to attackers make machine identity risk both greater and more visible than in almost any other industry.
The problem: legacy estates full of ungoverned credentials
Decades of incremental system building have left financial institutions with sprawling machine identity footprints. Batch jobs from the 1990s share networks with cloud-native microservices, and both authenticate through long-lived secrets that rotate rarely, if at all. Hard-coded credentials in legacy code, shared service accounts spanning business units, and certificates that expire unnoticed are endemic. Regulators have started paying attention: operational resilience regimes and DORA-style requirements in Europe push firms to demonstrate control over the access paths that keep money moving, and attackers target precisely those paths.
Why finance is a prime target for machine identity abuse
Attackers follow value, and financial machine identities open doors to it. A compromised service account with payment-system access can move funds or alter transactions. A stolen API key can exfiltrate customer data at scale. Certificate abuse can enable man-in-the-middle positions against high-value transactions. Because machine identities often carry standing privileges and lack behavioural monitoring, they offer attackers persistence that human credential attacks cannot match: no password fatigue, no MFA prompt, and frequently no alert.
Where the battle will be won or lost
Discovery comes first. Firms cannot govern credentials they cannot enumerate, and full machine identity inventories, across on-premises mainframes, private clouds, and SaaS, remain rare. Lifecycle automation follows: automated rotation, revocation tied to workload decommissioning, and vaulting that removes standing secrets from code and config. Behavioural enforcement is the third front, distinguishing normal service-account activity from anomalous use, at machine speed. And the newest front is agentic AI: trading assistants, fraud analysts, and customer-service agents are proliferating, each one a new credential-bearing identity requiring least-privilege task scoping and full auditability.
A compliance upside
Firms that master machine identity gain more than risk reduction. Strong NHI governance shortens audit cycles, evidences regulatory control frameworks more cleanly, and reduces the operational drag of manual credential management. As supervisory expectations sharpen, demonstrable machine identity control will shift from differentiator to baseline.
The sector built sophisticated controls around human identity decades ago. Extending that same discipline to machine identities, including the newest AI agents, is the security battle financial services cannot afford to lose.