Deepfake fraud—particularly cloned voices used to authorize payments or manipulate access requests—is no longer hypothetical. In a 2025 Gartner survey of 302 cybersecurity decision-makers, 62% reported that their organization had endured at least one deepfake attack during the past year. Forty-three percent of respondents dealt with deepfake audio calls; 37% saw video-based versions. These incidents increasingly exploit trust over form, blurring lines between what’s real and what’s generated. Preparing your security team before disaster strikes is not optional—it’s essential.
Why Human Instinct Isn’t Enough
Traditional security training—spot awkward phrasing, weird sender addresses, mismatched hyperlinks—worked when deception left obvious clues. Deepfake audio and real-time face swaps not only erase many of those signs but can mimic exact tones, inflections, and identities. The FBI has warned that cloned voices are now indistinguishable from the real speaker, urging staff to verify identity via independently sourced contact methods rather than relying on what they hear. Employers surveyed recently confessed low confidence in facing these threats despite extensive awareness programs. The takeaway: process must override perception. Routines that enforce verification steps matter more than trust in one’s ears.
How to Build and Run a Deepfake Readiness Drill
Here are the structured steps your organization should follow to test and improve its defenses systematically.
1. Identify high-risk roles
Make two lists: who attackers are likely to impersonate—executives like CFOs, or leaders in finance, HR, IT—and who they’re likely to call—payroll, identity admins, help desk, assistants. Also include external contacts with financial authority. Rank them by how exposed they are, especially based on how much public audio/video content exists to train a voice model.
2. Set solid verification rules
Clear, documented rules are crucial before running any drills. These typically include using callbacks based on internal directory numbers, defining which actions always trigger verification, ensuring dual approvals for sensitive tasks, establishing challenge phrases shared between certain roles, and cultivating a culture where employees report errors without fear. Explicit permission from leadership to pause and verify—even with senior stakeholders—is critical.
3. Simulate real multi-channel threats
Deepfake attacks almost always involve more than just a phone call. The setup often starts via email or chat, followed later by voice or video pressure. Simulate these multi-stage paths in drills. Work through scenarios like urgent wire transfers, fraud involving supplier banking changes, help desk overriding MFA protections, or sneaky admin account grants hidden in routine access reviews. Align simulations with real-world high-risk times like fiscal audit seasons or when senior staff are traveling.
4. Conduct staged exercises
Begin with tabletop walkthroughs to locate policy gaps affordably. Then move to live simulations—with safeguards. Use fake requests, test payees, or sandbox accounts with no real access. Inform executives so it doesn’t trigger real responses. If the simulation causes distress or overlaps with actual operations, pause and debrief immediately. Always reveal the drill afterward to preserve trust.
5. Measure failure points
Scoring alone is meaningless without insight. Track how many participants followed callback steps, how long they took to escalate, whether the report path worked, and where exactly the process broke down. Did people ignore challenge phrases? Was the callback number wrong? Did the fake scenario begin with email so people believed it? These insights map directly to policy or training fixes.
6. Learn, iterate, repeat
Rapid, non-punitive debriefs help participants understand what was cloned, how it was done, and what signals they missed. Update directories, tighten rules, and incorporate hard lessons into regular phishing or fraud simulations to reinforce awareness. Run drills at least twice a year and whenever critical roles or organizational exposure changes—for example after leadership shifts or during busy event seasons.
When and Where Technology Helps
Policies and drills are the backbone—but tech tools can add precision. Solutions that flag suspicious emails or chats (especially those posing as executives or vendors) can prevent attacks long before voice or video enters the picture. Real-time verification tools for collaboration platforms can analyze biometrics or behavioral traits to spot when someone doesn’t match their claimed identity. Be vigilant about privacy: choose systems that perform checks without recording or transcribing content. Some tools do exactly this, using voice and face profiles to trigger alerts in the moment.
Small drills demand little more than a page of rules, a handful of scenarios, and a prepared debrief format. Use alerts from regulatory authorities to build realistic red flags—such as an actor blaming “bad connection” or switching communication channels mid-conversation. These are often signs of deception.
Deepfake readiness drills do more than test defenses; they expose hidden vulnerabilities before they become headlines. Spend effort uncovering break points—those moments where trained policy fails. Employers who combine clear verification rules, realistic scenarios, and repeat practice are far better positioned to disrupt deepfake scams before irreversible harm occurs. That effort doesn’t just protect data—it safeguards trust, money, and reputation in an era where seeing isn’t always believing.
