Securing non-human identities in financial services needs lifecycle control

At a glance

What this is: This is Oasis Security’s analysis of why financial services need dedicated Non-Human Identity management, with lifecycle, visibility, and least-privilege controls as the core findings.

Why it matters: It matters because IAM, PAM, and governance teams must secure machine identities alongside human users, or misconfigurations and overprivileged access will keep expanding the attack surface.

By the numbers:

• NHIs outnumber human identities by 25x to 50x in modern enterprises.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• 85% of organisations lack full visibility into third-party vendors connected via OAuth apps - 38% have no or low visibility, and a further 47% have only partial visibility.

👉 Read Oasis Security's analysis of securing non-human identities in financial services

Context

Non-human identities are machine credentials such as service accounts, API keys, tokens, certificates, bots, and workload identities that applications use to authenticate and act. In financial services, those identities now sit inside payment flows, open banking integrations, blockchain services, cloud automation, and machine-learning pipelines, which makes NHI governance a core security issue rather than a niche infrastructure concern.

The problem is not the existence of automation. It is that traditional IAM programmes were built around human login, human approval, and human review cycles, while NHIs operate continuously and at machine speed. That creates a governance gap around discovery, ownership, rotation, offboarding, and privilege scope, especially in cloud, on-premises, and hybrid environments.

Key questions

Q: What breaks when machine identities are not governed like first-class identities?

A: Access becomes persistent, hard to attribute, and easy to overextend across systems. Without lifecycle control, a service account or API key can survive long after its purpose changes, creating a standing credential risk that traditional human IAM reviews are unlikely to catch. The result is larger blast radius and weaker accountability.

Q: Why do NHIs complicate security governance in financial services?

A: They operate continuously, at machine speed, and across many connected systems, so human review cycles miss the moment when access becomes unsafe. Financial services also rely heavily on third-party integrations and hybrid environments, which makes ownership, revocation, and monitoring harder than in a single application stack.

Q: How do security teams know if NHI controls are actually working?

A: Look for complete inventory coverage, clear ownership, enforced rotation, and evidence that unused credentials are removed on time. If secrets remain active after changes to applications, vendors, or pipelines, the control is not working. Monitoring should also show whether machine access stays within the expected workload scope.

Q: Who is accountable when a machine credential is abused?

A: Accountability should sit with the team that owns the workload, the identity lifecycle, and the connected business process, not with security alone. In regulated environments, that usually means engineering, platform, and IAM teams share responsibility for discovery, rotation, and offboarding while compliance verifies that the process is repeatable.

Technical breakdown

Why financial-services NHIs create a broader attack surface

Financial institutions accumulate NHIs wherever systems need unattended access, from payment workflows to analytics pipelines. Each identity may look small in isolation, but machine credentials scale fast, often outnumbering human accounts by an order of magnitude. The security problem is not just volume. It is that these identities are frequently created for a task, copied into pipelines, and left in place long after the original use case has changed. In regulated environments, that turns ordinary operational drift into persistent exposure.

Practical implication: build a complete inventory of machine identities before any governance effort, or the rest of the control stack will miss the majority of exposure.

Secret rotation, ownership, and offboarding for machine credentials

NHIs become dangerous when secrets remain valid after the business need disappears. A service account or API key can persist across teams, environments, and vendors if no one owns its lifecycle. That creates a standing credential problem: access exists without a clear revocation trigger. In financial services, this is amplified by third-party integrations and hybrid infrastructure, where the person or system that created the credential is often not the one responsible for retiring it. Lifecycle control is therefore an identity discipline, not a vault feature.

Practical implication: tie every NHI secret to a named owner, expiry condition, and offboarding path, then enforce revocation when the underlying service or integration changes.

Least privilege and monitoring in distributed financial environments

Least privilege for NHIs is not only about shrinking permissions. It is about preventing machine identities from accumulating broad rights across cloud, on-premises, and SaaS boundaries. Financial services often depend on cross-system trust, which means one overprivileged credential can expose data, workflows, and downstream systems far beyond its original purpose. Monitoring matters because NHI misuse rarely looks like a human login anomaly. It appears as normal machine traffic until the scope of the activity is compared with the identity’s intended role.

Practical implication: define machine-specific entitlement baselines and alert on scope drift, not just failed logins or obvious credential theft.

Threat narrative

Attacker objective: The attacker wants to convert a single machine credential into broad access across financial workflows, data, and connected systems.

1. Entry occurs when an exposed or misconfigured machine credential grants access to a financial-services workflow, API, or cloud service. Credential compromise can start with a leaked secret, an over-shared token, or a third-party integration that was never properly scoped.
2. Escalation follows when the attacker uses standing privileges to move across connected systems, reuse trust relationships, or pull additional secrets from pipelines and storage locations. The absence of lifecycle controls and privilege boundaries lets one identity become a bridge to many systems.
3. Impact lands when the attacker reaches sensitive financial data, transaction processes, or operational systems and can alter, exfiltrate, or disrupt them without triggering human-centred access controls. The objective is durable access to critical business workflows through machine trust abuse.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• IOS app secrets leakage report — iOS apps leaking hardcoded secrets and credentials endangering user privacy.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Financial services has turned NHI governance into a business continuity issue. When service accounts, APIs, and machine-learning processes sit inside revenue systems, access sprawl is no longer a back-office hygiene problem. The control question shifts from whether credentials exist to whether they can be discovered, owned, and removed before they outlive the process they support. Practitioners should treat NHI governance as operational resilience, not a narrow security add-on.

Standing credential exposure window: The assumption that a secret remains safe until it is manually found was designed for slower, human-paced environments. That assumption fails when machine identities are copied into code, automation, and partner integrations at scale, because exposure can persist invisibly across multiple execution paths. The implication is that lifecycle governance must be built around machine persistence, not just user review cycles.

Overprivileged machine trust is the real blast-radius multiplier. Financial services often decentralises access so systems can move quickly, but that decentralisation also spreads machine trust across cloud, on-premises, and hybrid stacks. Once an NHI has more rights than its task requires, one compromise can become a cross-domain incident. Practitioners should re-evaluate entitlement design before they try to optimise detection.

Identity blast radius: a machine credential with broad access can propagate risk far beyond its original workload. That concept matters because financial institutions frequently reuse NHIs across pipelines, vendors, and environments. When the same identity can reach multiple services, the breach scope is defined by privilege topology, not by the original application boundary. The practitioner conclusion is simple: map the reach of every NHI before assuming containment exists.

Traditional IAM is necessary but insufficient for this workload mix. Human IAM still matters for administrators and approvals, but it does not solve unattended machine access. The field needs a split view: human governance for who can approve, and NHI governance for what machine credentials can do, where they live, and how they die. Teams that collapse those layers will keep missing the actual control point.

From our research:

• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them, according to the Ultimate Guide to NHIs.
• 91.6% of secrets remain valid five days after the targeted organisation is notified, showing a critical gap in remediation procedures.
• If your programme needs a broader governance baseline, Top 10 NHI Issues is the clearest next reference point.

What this signals

Financial-services teams should expect NHI governance to move closer to board-level risk management as machine identities continue to multiply. The operational issue is not whether automation should exist, but whether every credential has an owner, an expiry condition, and a revocation path that survives organisational change.

Standing credential exposure window: the governance gap is not only secret leakage, it is the length of time a leaked or forgotten secret stays usable. That is why lifecycle discipline matters more than one-time hardening, especially where cloud, on-premises, and partner access intersect.

NHI programmes that treat discovery and offboarding as afterthoughts will keep seeing the same failure pattern. The practical signal to watch is whether secret rotation, inventory, and entitlement reviews are happening before access drifts out of scope, not after an incident forces the review.

For practitioners

• Inventory machine identities across every environment Start with cloud, on-premises, and hybrid systems, then tie each service account, API key, token, and certificate to a business owner and an application dependency. If you cannot name ownership, you cannot govern lifecycle or revocation effectively.
• Enforce secret rotation and expiry by design Set rotation rules for long-lived credentials and make revocation part of change management when an integration, vendor, or workflow changes. Do not rely on ad hoc cleanup after incidents, because the exposure window is already the problem.
• Reduce standing privilege on machine accounts Limit each NHI to the minimum rights needed for one workload, one pipeline, or one external connection. Review shared credentials, broad API scopes, and inherited permissions as likely sources of unnecessary blast radius.
• Add NHI-specific monitoring for scope drift Alert on behaviour that exceeds the credential’s intended function, such as unusual data access, cross-environment use, or access outside the expected service path. Human login monitoring alone will not catch this.

Key takeaways

• Financial-services NHIs are a first-order governance problem because machine credentials now sit inside critical business workflows, not just infrastructure.
• The scale problem is already visible in NHI research, where only a minority of organisations have formal offboarding and revocation processes for API keys.
• The control that changes the risk profile is lifecycle discipline, especially inventory, ownership, rotation, and least privilege for every machine identity.

Key terms

• Non-Human Identity: A non-human identity is a credential or account used by software, systems, or machines rather than a person. It includes service accounts, API keys, tokens, certificates, bots, and workload identities that authenticate unattended access and often persist longer than the business use case that created them.
• Standing Credential: A standing credential is an identity secret that remains continuously valid until someone explicitly revokes or rotates it. In practice, standing credentials create persistent access paths that are easy to forget, difficult to attribute, and especially risky when they are embedded in code, pipelines, or third-party integrations.
• Lifecycle Governance: Lifecycle governance is the discipline of tracking an identity from creation to retirement, including ownership, approval, review, rotation, and offboarding. For non-human identities, the challenge is to make these steps machine-enforced so access does not outlive the workload, vendor relationship, or automation it supports.
• Identity Blast Radius: Identity blast radius is the amount of damage one credential can cause if it is misused or compromised. For non-human identities, it is determined by entitlement scope, trust relationships, and reuse across environments, not by the size of the account itself.

Deepen your knowledge

NHI lifecycle management and secret rotation are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building controls for financial services workloads with long-lived machine access, it is worth exploring.

This post draws on content published by Oasis Security: Securing Non-Human Identities for Financial Services. Read the original.