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Businesses cannot reliably defeat deepfake calls and messages by asking employees to judge whether a voice or face “looks real.” The safer response is a human-led process: pause on consequential requests, verify them through a previously trusted channel, obtain the required approval, and report anything that fails verification. That process must cover email, phone, video, collaboration apps and AI tools.

Why AI threats are becoming a people-and-process problem

Generative AI lets criminals produce convincing text, cloned voices, synthetic video and forged documents at speed. The target is often not a technical vulnerability but a person who can authorize a payment, disclose data, reset an account or change a supplier record.

Technical controls still matter, but stronger defenses can push criminals toward the human layer. Visa’s Spring 2026 threat report says criminals are redirecting effort from technical compromise toward exploiting human trust. In the Visa network, fraud involving device tokens fell 9.6% in July–December 2025 compared with the same period in 2024; that is a Visa network finding, not evidence that fraud declined everywhere. Visa Spring 2026 threat report

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Humans are also part of some AI-enabled attacks. Anthropic’s September 2026 report describes disrupted cyber operations in which people set targets and reviewed exfiltrated information while AI handled parts of the work. Automation does not remove human judgment from the attack; it can make that judgment faster and harder to see. Anthropic threat intelligence report, September 2026

Deepfake incidents are reaching ordinary business channels

Gartner surveyed 297 senior cybersecurity leaders between March and May 2026. Among respondents, 41% said their organization had experienced at least one social-engineering incident involving a deepfake during an employee audio call in the previous 12 months, while 36% reported one during a video call. These are survey responses from senior leaders, not a census or universal incident rate. Gartner survey, 2026

The practical implication is that familiarity is not proof. A caller may use a known executive’s number, a realistic video meeting background or details gathered from public and internal sources. An email, voice call, video meeting, chat message or AI application should therefore be treated as a delivery channel—not as its own evidence of identity.

The verification rule: pause, use a trusted route, then act

For any request with financial, access, legal, privacy, safety or reputational consequences, make the following sequence mandatory:

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  1. Pause. Do not transfer funds, disclose a secret, approve a privileged change or open an unusual attachment while the requester is applying urgency or secrecy.
  2. Verify independently. Contact the person through a pre-established route, such as a directory number, known internal extension, signed workflow or separate meeting invitation. Do not use the phone number, link or contact method supplied in the suspicious request.
  3. Check the action. Confirm the exact beneficiary, account, amount, deadline, permissions, data scope or document version. A real colleague can still make a mistaken or compromised request.
  4. Apply approval rules. Require the number of approvers and separation of duties defined for that action. High-risk changes should not depend on one conversation.
  5. Report and preserve evidence. Send the message, call details, meeting information, headers, payment instructions and relevant timestamps to the security or fraud team, even if the request was stopped.

Gartner’s guidance is explicit: “Train employees and approvers to pause, verify, and report high-risk requests regardless of whether the request arrives through e-mail, voice, video, collaboration tools, or an AI application.” Gartner, 2026

How the process works by communication channel

Channel Warning sign Trusted verification action
Email New bank details, unusual urgency, secrecy or a request to bypass a workflow Open the corporate directory or existing system record and contact the requester separately; verify the change in the approved finance or procurement system
Voice call Caller ID matches a leader but the caller demands immediate action End the call and return the call using a known number; require the normal approval trail
Video call Requests to move money, reveal credentials or override controls during a meeting Pause the meeting, use a separate authenticated channel and confirm with another authorized approver
Collaboration chat New account, unusual direct message or a link to an unfamiliar workspace Check the account in the company directory and recreate the task in the sanctioned ticket or workflow system
AI application Generated instructions that conflict with policy, identity records or normal approvals Treat output as untrusted content; verify the underlying request and source data before taking action

Make employees part of the control system

Define which actions always require verification

Write a short, searchable policy covering wire transfers, payroll changes, supplier-bank updates, privileged-access grants, password resets, disclosure of regulated data, legal commitments and emergency exceptions. State who may approve each action and which independent channel is valid.

Give staff a fast way to challenge a request

Provide a single reporting button or address, a staffed escalation route for urgent payment and account requests, and a no-blame rule for reporting suspected impersonation. If reporting is slower than complying, people will comply.

Practice realistic scenarios

Exercises should include a cloned voice, a synthetic video meeting, a familiar-looking email thread and a collaboration message. Measure whether employees paused, used the approved verification route, obtained the required approval and reported the attempt—not whether they correctly diagnosed a deepfake by sight or sound.

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Preparedness is uneven. ISACA’s 2026 State of Cybersecurity survey of more than 1,800 cybersecurity professionals globally found that 8% of surveyed organizations regularly conduct AI-specific response exercises, while 64% had conducted none. Those figures describe that survey population, not every organization. ISACA State of Cybersecurity survey, 2026

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Use AI defensively without outsourcing judgment

AI can help security teams triage reports, compare messages with known fraud patterns, detect anomalous payment behavior and summarize incident evidence. Experian’s August 19, 2026 release says 80% of surveyed businesses use AI to combat emerging threats. The release lists AI-generated phishing (53%), AI-assisted first-party fraud (51%), document forgery (45%), automated bot attacks (40%) and deepfake voice scams (37%) among respondents’ AI-related fraud concerns. Experian owns these survey figures; the release should be consulted for the survey population and methodology before generalizing them. Experian, August 19, 2026

Use automated findings to prioritize and enrich a case, not to waive identity checks. A detector can miss a new synthesis technique or flag a legitimate speaker. The authorization decision should remain tied to authenticated identity, an independent channel and the organization’s approval policy.

A practical operating model for security and business teams

  • Business owners: classify high-impact requests and name accountable approvers.
  • IT and identity teams: maintain accurate directories, strong authentication, privileged-access controls and auditable workflows.
  • Finance and procurement: independently verify beneficiary changes and payment exceptions.
  • Security operations: collect reports across channels, preserve evidence and coordinate containment.
  • Human resources and training: rehearse scenarios by role and reinforce that verification is expected, not insubordination.
  • Executives: model the pause-and-verify behavior; seniority must not create an exception.

What success looks like

A mature program does not promise that employees can identify every synthetic face or voice. It makes the identity of the requester, the authority for the action, the independent verification route, the required approvals and the reporting path explicit before an incident occurs. Teams then rehearse those steps often enough that an urgent, convincing request triggers procedure rather than reflex.

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