Deepfake Simulation Training
A familiar face or voice can push people past the approval controls that keep decisions safe. AwareX rehearses independent identity checks with reviewed deepfake scenarios.
Explore the approachA familiar voice is not proof of an authorized request.
Recognizing a colleague on a call does not establish that a payment, access change, or sensitive disclosure is authorized. AwareX uses human-reviewed deepfake exercises to help teams practice trusted callbacks and preserve approval steps under pressure.
A campaign-planning email leads into a Teams conversation with an apparent executive asking for the plan and an urgent venue payment.
Fictional workplace example, not a live attack or measured customer result.
- 01 / WHAT ROUTINE TRAINING MISSES
The lesson stops at visual and audio clues.
Searching for media imperfections alone does not establish whether a sensitive instruction is genuine.
- 02 / WHEN THE REQUEST FEELS REAL
Recognition can become an approval shortcut.
A familiar-looking face or voice can add pressure to share information or bypass an established approval.
- 03 / WHERE AWAREX CHANGES THE REHEARSAL
Practice verification beyond recognition.
AwareX prepares human-reviewed deepfake scenarios and focuses learning on independent identity checks and intact approval controls.
Routine compliance training vs. AwareX
Compliance learning establishes a foundation. AwareX puts AI behind the rehearsal: it studies your approved context, drafts the scenarios, and adapts what people practice next.
| What matters | Routine compliance training | AwareX approach |
|---|---|---|
| Starting point | A scheduled course built around policies and general awareness. | AI studies your approved business context first, so the first test reflects how you work. |
| Workplace relevance | The same broad examples for every responsibility. | AI drafts role-specific versions for finance, HR, IT, and leadership; your team approves each. |
| What people practice | Recognizing terms and selecting answers in a lesson. | AI adapts sender, story, tone, and difficulty from each response. |
| Follow-through | Completion often becomes the finish line; reinforcement is rarely built in. | AI reads each click, report, and pause, then sets the next round from the missed cue. |
| What success means | Attendance, course completion, and assessment scores. | The decisions people make in rehearsal, tracked by AI across rounds, not one quiz. |
This compares a completion-focused training approach, not every training provider. AI output is reviewed by your team before release, and capabilities and scope are confirmed in your demo. Training does not guarantee attack prevention, compliance, or certification.
From recognizing a message to rehearsing a response
Will the employee verify the request through a known channel rather than rely on the face or voice?
Rehearse the decisionExplain the missed cuePractice again
What is Deepfake Simulation?
A familiar face or voice makes an unusual request feel authorized. The exercise rehearses the verification habit: identity is confirmed through a known channel, not through the message itself.
A familiar face is not proof
The scenario moves from an email into a Teams conversation with an apparent executive, exactly the path these attacks take.
Human review first
No synthetic voice or face reaches employees without your team's approval; the rehearsal is controlled end to end.
The decision is the result
Coaching focuses on the verification habit, not on spotting artifacts in the media.
A campaign-planning email leads into a Teams conversation with an apparent executive asking for the plan and an urgent venue payment.
Illustrative example. Media types and languages in scope are confirmed with your team, and every scenario is reviewed and approved before it runs.
How AwareX AI makes it more effective.
No generic templates. AwareX agents read what is happening at your company and build department-specific tests from it.
A familiar face, a voice you trust, a fake request.
- Scan the web
- Read the news
- Map the people
- Clone the face
- Send for approval
- Company offsite announced for next week
- New funding round closed
- Head of Sales joins from a rival
CEO (video)
Urgent transfer before the funding closes
Can you jump on a quick call? I can't talk long, the board is waiting. Need this done in the next 10 minutes.
Join video call · 00:42
Awaiting your approvalIllustrative example. Signals, names, and messages are not real customer data.
AI prepares the deepfake scenario from real business context, so the rehearsal matches how these attacks actually arrive.
Human review stays mandatory: no synthetic voice or face reaches employees without approval.
Coaching focuses on the verification habit, not on spotting artifacts in the media.
AI proposes; people decide. Every scenario is reviewed and approved by your team before it reaches an employee.
Every answer changes the next test.
Each response is read as a signal, not filed away as a score. The AI engine moves each person one step up or down seven difficulty levels, so nobody meets a deepfake call before they can spot a fake invoice, and nobody stays on obvious spam that teaches them nothing.
- Reported it in time
The next test moves a step up the ramp: a more familiar sender, a tighter story, or a second channel arriving behind the first.
- Clicked, then raised it
The level holds. The lesson names the exact cue that was missed, and that cue returns in the next wave until it is recognized on sight.
- Missed it entirely
Coaching comes first, not embarrassment. The next test keeps the same theme with clearer warning signs, then rises again once the habit holds.
Adjustments belong to the person, not the whole company. Your team still reviews and approves every wave before it runs.
- Obvious phishing
- Realistic corporate
- Spear phishing
- Business email compromise
- Executive impersonation
- Multichannel story
- Deepfake + social engineering
Why it matters: a result only means something when you know how hard the test was.
A familiar moment. A decision worth rehearsing.
Deepfake Simulation, rehearsed through the decisions around a marketing offsite and a campaign plan.
- A realistic message lands in the flow of work.
- Each cue is inspected one by one, from the sender to the deadline.
- The safe response is rehearsed: report it, verify it, or ask.
A familiar name is not proof.
Illustrative screens, not live product screenshots. Messages, identities, and destinations are fictional; no links, payments, approvals, or uploads are active. Confirm capabilities in a demo.
One check today.
A safer routine every day.
A deepfake fire drill rehearses the callback and the approval process. Do not make media detection the only exit route.
Explore the fire-drill approachCaptured platform preview. Figures are example data, not measured customer results.
- 01
A drill, not a checkbox
A signed policy fades within weeks. A rehearsed pause, verify, and report habit holds when a real message lands.
- 02
Practice where decisions happen
Short, contextual exercises arrive in the flow of work, in the channels your teams actually use, instead of a once-a-year course.
- 03
Learn, never blame
A miss is data for the next exercise, not a mark against a person. Repeated practice is what moves the numbers.
IMPROVE.
One continuous loop.
Identify, Measure, Prioritize, Reduce, Optimize, Validate, and Evaluate. AI connects business context, employee responses, and targeted learning to inform each next test.
Explore related solutions.
Clarity before
the next step.
What is deepfake awareness training?
Deepfake awareness training prepares employees for requests delivered through synthetic or manipulated voice and video. It emphasizes verifying identity and authorization through a trusted channel rather than assuming a familiar face or voice makes an instruction legitimate.
How can deepfake phishing target workplace approvals?
An apparent executive can request an urgent payment, sensitive document, or account action during a call or online meeting. The familiar appearance or voice supports the story, but the requested action still needs the organization’s normal verification and approval controls.
Is spotting visual or audio glitches enough to detect a deepfake?
No. Media artifacts are not a dependable verification method, and genuine calls can also have technical glitches. Employees should independently confirm sensitive instructions and follow established approval procedures instead of relying only on how convincing the media looks or sounds.
What should employees do with a suspicious executive voice or video request?
Pause the requested action and contact the person through an established number or approved channel. Do not use replacement contact details supplied during the suspicious conversation. Report the request and keep payment, access, and information-sharing controls intact.
How does AwareX deepfake simulation work?
AwareX prepares reviewed scenarios around plausible business activity, including an email that leads into a voice or video conversation. Human approval is required before a synthetic voice or face reaches employees. Coaching focuses on independent verification rather than media-detection tricks.
What governance is needed for deepfake training?
Agree on authorization, consent, audience, and acceptable use of synthetic media before a simulation. Review the scenario and learning objective, avoid unnecessary sensitive information, and define reporting and debriefing steps. Confirm the appropriate scope with your team before delivery.
