What should leaders change when fraud risk and growth pressure rise together?

They should redesign trust controls so they scale with the business rather than sit beside it. That usually means simplifying handoffs, unifying evidence, and making risk decisions visible across teams. Growth and control do not have to conflict, but they do need the same operating model.

Why This Matters for Security Teams

When fraud pressure rises at the same time as growth targets, security leaders are usually asked to approve more access, more exceptions, and faster partner onboarding without adding friction. That combination creates a predictable failure mode: controls become manual, inconsistent, and invisible just when attackers look for weak handoffs. NHI risk is especially important here because service accounts, API keys, and automation tokens often expand faster than human identity governance can track. NHI Management Group’s Top 10 NHI Issues and the Ultimate Guide to NHIs — Why NHI Security Matters Now both show how quickly exposure grows when secrets, privileges, and ownership are not kept in step with the business.

The practical issue is not whether growth or control matters more. It is whether leadership can make trust decisions at the same speed as product, sales, and operations. The NIST Cybersecurity Framework 2.0 frames this as an enterprise governance problem, not just a technical one: risk needs to be visible, measurable, and owned. In practice, many security teams only discover the gap after a fraud event exposes the broken workflow, rather than through planned control design.

How It Works in Practice

Leaders should redesign trust controls so they scale with the business operating model, not beside it. That starts by reducing duplicate approvals, aligning fraud, IAM, and application security on shared evidence, and making exceptions time-bound and reviewable. For non-human identities, this means documenting ownership, scoping privileges to the narrowest task, and treating secrets as operational assets that need lifecycle controls, not static configuration.

Current guidance suggests four practical shifts:

• Move from one-time approvals to risk-based access decisions that can be revisited as customer volume, transaction value, or partner exposure changes.
• Unify telemetry from IAM, PAM, fraud, and application logs so the same event can support both trust decisions and incident response.
• Rotate secrets and revoke stale access on a defined cadence, especially where automation, CI/CD, or third-party integrations create standing exposure.
• Assign clear control ownership so product teams do not “inherit” risk that only security can see.

This is where the NHI data matters. The fact that 97% of NHIs carry excessive privileges, and that only 5.7% of organisations have full visibility into service accounts, shows why control design must be embedded into delivery processes rather than bolted on later. The same logic appears in the Ultimate Guide to NHIs — Key Challenges and Risks, which highlights how visibility and rotation failures compound under scale.

These controls tend to break down when growth teams can create new integrations or exceptions faster than security can inventory, approve, and revoke them.

Common Variations and Edge Cases

Tighter trust controls often increase operational overhead, requiring organisations to balance fraud reduction against speed, conversion, and partner experience. That tradeoff is real, especially in fintech, marketplaces, and high-volume SaaS environments where blocking good users can hurt revenue as much as missing bad ones.

There is no universal standard for this yet, but current guidance suggests using different control tiers for different risk levels. Low-risk customer flows may tolerate lighter verification, while high-value payments, privileged admin actions, and third-party automation should face stronger evidence requirements and shorter credential lifetimes. In some environments, fraud and security teams can share a single policy decision layer; in others, legal or operations constraints force separate approval paths that still need a common evidence model.

Leaders should also watch for edge cases such as seasonal demand spikes, M&A integration, and vendor onboarding surges. These situations often create temporary access that never gets cleaned up. NHI Management Group’s guidance on Managing Non-Human Identities underscores why this matters: once excessive access becomes normal, fraud controls become reactive instead of preventative. The best outcome is not perfect restriction, but a governance model that can tighten or relax controls without losing auditability or accountability.

Related resources from NHI Mgmt Group

• Why do non-human identities create more audit risk than human accounts?
• Why do non-human identities create audit risk in modern environments?
• Why do non-human identities create compliance risk even when policies exist?
• Why do collaboration tools create such a large secrets risk?