How should security teams stop employees approving fake requests that sound legitimate?

Why fake-request approval breaks down in real workflows

The failure is rarely that employees ignore obvious fraud. It is that the request fits the expected business context, arrives through a trusted channel, and uses familiar language or timing. When approval is treated as a single human judgment, attackers only need to create enough realism to bypass that one decision point.

Legitimate-looking requests exploit process familiarity. Finance, HR, IT, and executive assistants all handle routine exceptions, urgent changes, and delegated requests, so the attacker’s goal is to make the fake request resemble normal business pressure rather than a technical intrusion.

Effective controls therefore focus on breaking the illusion, not on training people to spot every variation of social engineering. The safest design adds friction at the point where a request would otherwise become action, especially for payment changes, access grants, account recovery, wire approvals, and other high-impact tasks.

Controls that make approval harder to fake

Contextual approval controls work best when they check more than the text of the request. Approval should depend on who asked, what asset or privilege is being changed, whether the request matches the normal pattern for that person, and whether the request is arriving from the expected path and time window.

Dual authorization reduces single-person failure. If one approver can be manipulated, coerced, or rushed, a second independent approver makes it harder for a forged request to turn into an irreversible action. For sensitive workflows, the second approver should have enough context to challenge anomalies rather than simply rubber-stamp the same packet.

Identity verification outside the request channel is the other key control. If the request came by email, chat, ticketing, or SMS, confirm it through a separate channel that is already trusted for that relationship, such as a known phone number, a direct callback process, or a policy-backed workflow step that requires re-authentication before execution.

When the action is privileged, the approval step should be paired with explicit authorization boundaries. That means the approver is not just saying yes to a request, but yes to a specific scope, duration, and business purpose. For recurring requests, pre-approved policy and just-in-time elevation are safer than broad standing permission.

Where teams should focus their defensive design

The highest-risk paths are the ones where a fake request can trigger payment, access, credential reset, vendor change, or production change with minimal review. Those workflows deserve the strongest separation between request intake, approval, and execution so that no single conversation can complete the chain.

Security teams should also treat exception handling as part of the attack surface. Attackers often target “urgent” or “special case” processes because teams relax normal checks when deadlines, executives, or customer impact are involved. A good control set keeps exceptions visible, logged, and reviewable rather than informal.

For the same reason, the approval process should preserve evidence of what was verified and by whom. If the organization cannot later prove that the approver checked an out-of-band signal or a second factor of trust, then the control is too weak to distinguish real authorization from social compliance.

Risk and Threat Considerations

Fake-request abuse succeeds when trust, urgency, and routine override verification. The main risk is not just one bad approval, but a process pattern that lets impersonation reach money movement, access change, or privileged action before anyone notices.

Failure mechanism: The attacker forges a plausible request, routes it through a familiar channel, and pressures a human approver to act before a second signal is checked. If the workflow lacks independent verification or dual approval, the forged request can be converted into an authorized action.

Impact: The result can be fraudulent payment, unauthorized access, account takeover assistance, or a change that creates broader business and security exposure. Once the action is completed, recovery is usually slower and more expensive than preventing the approval in the first place.

Practitioner Guidance

What to verify: Treat any workflow that can move money, grant access, reset credentials, or change vendor details as a high-risk approval path. Verify that the approver must confirm the request through a separate trust path, not the same inbox or chat thread that delivered the fake request.

Decision rule: If the request can produce irreversible impact, require dual authorization or out-of-band confirmation before execution. If the request only becomes dangerous after an approval step, the approval step itself must become a controlled security checkpoint rather than an administrative courtesy.

Common mistake: Do not rely on user awareness alone. Training helps, but it does not stop a believable, time-sensitive, or executive-looking request from succeeding when the workflow allows one person to approve and act immediately.

Practitioner takeaway: The objective is not to make every request harder, it is to make every high-impact request impossible to complete on trust from a single channel alone.

Related resources from NHI Mgmt Group

• How should security teams stop employees joining a fake AI workspace tenant?
• How should security teams stop HR-themed phishing before employees have to judge whether an email is legitimate?
• How should security teams stop fake sign-ups in loyalty programmes?
• How should security teams stop employees from bypassing governed AI access?