Use risk-based verification for high-value transactions, privileged changes, and sensitive requests rather than applying the same friction everywhere. The goal is to make high-impact actions harder to fake while keeping routine work efficient. That means stronger validation where trust has financial consequence.
Why This Matters for Security Teams
Business email compromise works because it targets trust, not malware. Attackers pressure finance, procurement, and executives into approving payments, changing bank details, or releasing sensitive data through channels that look routine. If every request gets the same friction, teams either slow the business down or create workarounds. The practical challenge is to add verification where money, privilege, or reputation is at stake without turning ordinary operations into a queue. Guidance in the NIST Cybersecurity Framework 2.0 supports risk-based controls, and NHIMG research shows how often identity weaknesses are already present in real environments. In the Ultimate Guide to NHIs, 79% of organisations reported secrets leaks, with 77% of those incidents causing tangible damage. In practice, many security teams encounter BEC only after a payment or account change has already been approved under pressure, rather than through intentional testing of the approval path.How It Works in Practice
The most effective pattern is to make verification proportional to risk. Routine work should stay fast, while high-impact actions trigger stronger checks based on transaction value, destination, urgency, requester history, and channel anomalies. This is not about rejecting every unusual request. It is about making it harder to fake a trusted workflow when the consequence is financial loss. The Top 10 NHI Issues and the 2024 ESG Report: Managing Non-Human Identities both reinforce a simple lesson: excessive trust and weak governance create avoidable exposure. In BEC prevention, that usually means layered validation rather than blanket controls.- Require out-of-band confirmation for bank-detail changes, large payments, and gift card or wire requests.
- Use step-up approval for exceptions, such as urgent requests outside normal hours or requests involving new recipients.
- Separate request initiation from approval, so one compromised inbox cannot complete the full workflow.
- Log and review high-risk approvals for patterns such as repeated urgency, domain lookalikes, or unusual device locations.
- Preserve low-friction paths for low-risk work so users do not route around controls.
This approach aligns with the direction of current guidance: evaluate the context of the request, not just the identity of the requester. It also reflects the broader principle in the NIST Cybersecurity Framework 2.0 that protective measures should be risk-informed and adaptable. Teams often pair that with playbooks for invoice fraud, payroll redirection, and executive impersonation, because those workflows fail differently. These controls tend to break down when approvals rely on a single mailbox, a single approver, or a shared exception path because attackers only need one convincing message to bypass the rest.
Common Variations and Edge Cases
Tighter verification often increases operational overhead, requiring organisations to balance fraud prevention against speed, staffing, and user experience. That tradeoff is real, especially in finance teams that process high volumes of legitimate exceptions. Best practice is evolving, but one point is clear: controls should scale with exposure, not with annoyance. A low-value internal reimbursement does not need the same friction as a first-time vendor bank change, and a payroll correction deserves different treatment from a routine invoice.Two edge cases matter most. First, executive requests can bypass normal skepticism because staff assume authority equals legitimacy. Second, attacker campaigns often chain email compromise with callback spoofing, invoice tampering, or supplier impersonation, which means a single control is rarely enough. Organisations should document which actions always require extra verification and which only trigger it when risk indicators stack up. Where there is no universal standard for this yet, current guidance suggests using clear thresholds, pre-approved escalation paths, and separation of duties that is difficult to override casually. The NHI lesson is relevant here: when access paths become too broad or too reusable, attackers exploit the process, not just the account.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-4 | Risk-based verification supports least-privilege access decisions. |
| OWASP Non-Human Identity Top 10 | NHI-03 | Strong lifecycle controls reduce abuse of compromised credentials and workflows. |
| NIST AI RMF | Trustworthy AI governance supports contextual decisions and abuse resistance. |
Apply step-up checks only when request risk exceeds normal business tolerance.
Related resources from NHI Mgmt Group
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- How can organisations reduce shadow AI risk without slowing adoption?
- How can organisations reduce third-party identity risk without slowing operations?
- How can organisations reduce jailbreak risk without slowing AI adoption?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org