What Employees Need to Know About Deepfakes

🚨 SCAM : Someone cloned my voice 🚨 Today, some of my colleagues and personal network received a sophisticated scam—a message from a French number, displaying my profile picture, and worst of all… a voice message mimicking my voice. Yes, MY voice. Same tonality, same (cute) little French accent… This kind of fraud is becoming more common, and it could happen to you or your business soon. Few things to remember: 1️⃣ AI-generated voices are now highly realistic – If your voice is online (videos, podcasts, interviews), scammers can clone it. You don’t believe it until it happens to you. 2️⃣ Never trust voice alone – Always verify unusual requests through a second channel (text, email, or in person). 3️⃣ As often, Deepfake scams rely on urgency – If someone is pressuring, stop and confirm before acting. 4️⃣ Use a “safe word” with close contacts (and kids!) – A pre-agreed phrase can help confirm someone’s identity in critical situations. 5️⃣ Be mindful of your digital footprint – The more personal data (voice, images, videos) you share publicly, the easier it is to be impersonated. 6️⃣ Raise awareness in your company & network (like I’m doing here) – Businesses need strict identity verification protocols, especially for financial transactions. Welcome to 2025! #Deepfake #AI #CyberSecurity #ScamPrevention #FraudDetection

A finance employee just wired $25 million to criminals. After a video call with her CFO. She could see him. Hear him. See her colleagues. All of them were AI. This happened to Arup, a major UK engineering firm, in 2024. And it's happening RIGHT NOW everywhere. Here's how the scam worked Finance employee gets email from "CFO" requesting urgent transfers. She's suspicious, so she demands a video call to verify. Joins conference with "CFO" and multiple "colleagues." Everyone looks real. Sounds real. She makes 15 transfers over several days. $25.6 million gone. The criminals? Downloaded public videos of these executives. Fed them into AI. Created perfect deepfakes in real-time on a live video call. Here's what terrifies me Q1 2025 numbers just dropped → $200 million stolen via deepfake fraud in 3 MONTHS → AI clones any voice with 3 seconds of audio → 68% of deepfake videos are indistinguishable from real → Deepfake incidents up 1,700% in North America → 51% of companies have ALREADY been targeted This isn't phishing emails anymore. This is your CEO on video asking for a wire transfer. And you can't tell it's fake. Ferrari almost fell for it too Executive received WhatsApp call from "CEO Benedetto Vigna." Voice perfect. Accent perfect. But the executive asked a personal question only the real CEO would know. The fake CEO hung up immediately. Here's what keeps me up at night As a cybersecurity recruiter placing SOC Analysts and CISOs, I can tell you Most companies are NOT prepared. They're focused on firewalls while criminals are → Scraping executive speeches from YouTube → Pulling voices from earnings calls → Grabbing faces from LinkedIn videos → Training AI models in hours Your security? Useless. The attack isn't against your systems. It's against your people's ability to trust their own eyes and ears. What companies need RIGHT NOW • Verify ALL financial requests through different channels... even video calls • Create "safe word" systems only real executives know • Multi-person approval for large transfers • Train employees: "I can see them" is NO LONGER PROOF But most companies won't act until AFTER they get hit. The Arup CFO said, "If cyberattacks were bullets, we would all be crawling around on the floor because they would be coming through the window, thousands of rounds a second." To every finance professional Next time your CEO asks you to wire money, even on video, verify through a DIFFERENT channel. Call their cell. Walk to their office. Text a personal question. Because seeing is no longer believing. To every CEO Your face and voice are weapons now. Every video you post trains the AI that will rob your own company. Sunday question If your CEO called you RIGHT NOW on video asking for an urgent wire transfer, what would you do? Be honest. Because criminals are betting you'll just do it. #CyberSecurity #Deepfake #AIFraud #InfoSec #AIScams

Your employees can no longer tell real from fake. AI just erased every red flag they were trained to spot. Perfect grammar. Personalized context. Executive voice clones. Legitimate sender domains. The old tells are gone. Microsoft’s 2025 Digital Defense Report shows: AI phishing now hits 30–50% click rates — 4× higher than traditional. Let that sink in: Up to half your employees now click AI-generated phishing. After 25 years in the Intelligence Community, I’ve watched adversaries evolve social-engineering tactics continuously. But AI changed everything. Here’s what AI eliminates: ✗ Grammar mistakes — LLMs write flawlessly ✗ Generic greetings — AI personalizes instantly ✗ Timing inconsistencies — AI knows when you’re vulnerable ✗ Context errors — AI mirrors communication patterns ✗ Voice detection — Deepfakes clone executives in seconds Traditional security awareness training is obsolete. Three AI attack vectors live now: 1. Executive voice impersonation 3 seconds of audio is enough to clone a CEO’s voice. Finance teams get wire requests that sound exactly like their boss — because it IS their boss’s voice. 2. Contextual spear phishing AI scrapes LinkedIn and social media to reference real projects and deadlines. “Spray and pray” is over. 3. Real-time conversation hijacking AI joins legitimate email threads mid-conversation. The domain’s real. The thread’s real. Only the final request is malicious. What works instead: → Process-based verification — verify all financial or credential requests separately. → Decision frameworks — when it looks 100% real, verify anyway. → Institutional skepticism — verify by default, not trust by default. The IC has operated this way for decades: even trusted sources get verified. -- Channels get compromised. -- Credentials get stolen. -- Trust gets weaponized. AI gives every cybercriminal nation-state-level capability. Your defense can’t be “spot the AI.” It must be “verify everything that matters.” Build verification into daily workflow — not as friction, but as rhythm. Because the strongest defense isn’t better detection. It’s human judgment paired with institutional process and coupled with effective technology. Security leaders: What verification protocols are you building now that AI erased traditional red flags? Drop your approach #CyberSecurity #AI #BehavioralDefense #Phishing #CISO #SocialEngineering #ZeroTrust

There’s more to the $25 million deepfake story than what you see in the headlines. I pulled the original story to get the full scoop. Here are the steps the scammer took: 1. The scammers sent a phishing email to up to three finance employees in mid-January, saying a “secret transaction” had to be done. 2. One of the finance employees fell for the phishing email. This led to the scammers inviting the finance employee to a video conference. The video conference included what appeared to be the company CFO, other staff, and some unknown outsiders. This was the deep fake technology at work, mimicking employees' faces and voices. 3. On the group video conference, the scammers asked the finance employee to do a self-introduction but never interacted with them. This limited the likelihood of getting caught. Instead, the scammers just gave orders from a script and moved on to the next phase of the attack. 4. The scammers followed up with the victim via instant messaging, emails, and one-on-one video calls using deep fakes. 5. The finance employee then made 15 transfers totaling $25.6 million USD. As you can see, deep fakes were a key tool for the attacker, but persistence was critical here too. The scammers did not let up and did all that they could to apply pressure on the individual to transfer the funds. So, what do businesses do about mitigating this type of attack in the age of deep fakes? - Always report suspicious phishing emails to your security team. In this context, the other phished employees could have been an early warning that something weird was happening. - Trust your gut. The finance employee reported a “moment of doubt” but ultimately went forward with the transfer after the video call and persistence. If something doesn’t feel right, slow down and verify. - Lean into out-of-band authentication for verification. Use a known good method of contact with the individual to verify the legitimacy of a transaction. - Explore technology driven identify verification platforms for high dollar wire transfers. This can help reduce the chance of human error. And one of the best pieces of advice I saw was from Nate Lee yesterday, who called out building a culture where your employees are empowered to verify transaction requests. Nate said the following “The CEO/CFO and everyone with power to transfer money needs to be aligned on and communicate the above. You want to ensure the person doing the transfer doesn't feel that by asking for additional validation that they're pushing back against or acting in a way that signals they don't trust the leader.” Stay safe (and real) out there. ------------------------------ 📝 Interested in leveling up your security knowledge? Sign up for my weekly newsletter using the blog link at the top of this post.

The New Corporate Threat: Deepfakes That Even Experts Can't Detect Welcome to the new reality where AI doesn’t just generate content, it manufactures convincing lies. You’ve probably seen it: - A CEO announces a fake acquisition. - A politician "says" something they never did. - A voice note "from your boss" requests a fund transfer. It all looks real. But it’s not. It’s a deepfake AI-generated audio, video, or images designed to deceive. Why it matters: Deepfakes are no longer just internet tricks or entertainment. They’re now: - Financial fraud enablers (voice clones used to scam employees) - Corporate risk vectors (fake news impacting stock prices) - Political weapons (manipulated clips used to sway public opinion) - Personal threats (identity misuse, blackmail, defamation) How to spot a deepfake  Look for: - Unnatural blinking or awkward lip sync - Plastic skin or weird lighting - Robotic tone or emotionless speech - Out-of-character statements - No credible source backing the video If it feels off, it probably is. What you can do: - Pause before sharing - Use tools like Deep ware, Microsoft Video Authenticator, or Adobe Verify - Train your teams especially PR, legal, and finance - Push for content provenance in your organization In the GenAI era, trust is currency. Don’t spend it on content you didn’t verify. #artificialintelligence

Fraud no longer hides in the shadows. It might show up disguised as someone you know. Like when the CEO calls and her voice on the phone sounds exactly right. Her urgency feels real, and the wire transfer request to a new bank account seems legitimate, so accounting releases the funds. And just like that, the company loses $20k to a fraudster who weaponized AI. This isn't science fiction. It's happening right now to individuals and organizations alike. Fraudsters are creating disturbingly real AI deepfakes that can fool even the most cautious people. And companies need strategies to combat them. Because those audio and visual cues we've relied on for decades are no longer reliable indicators of authenticity when it comes to AI deepfakes. Organizations can fight back with these defense strategies: ✔ Stay cautious and be wary of anyone requesting money or personal information, even if they look or sound like someone you trust. ✔ Don’t send money or share sensitive data in response to a single phone or video call. Phone numbers can be spoofed, so always verify a person’s identity by contacting them separately at a number you trust. ✔ Use small action requests, like asking a person to turn their head, blink repeatedly, or hum a song while on a video or phone call. If they decline, freeze up, or go silent, it could be a fraudster. ✔ Establish a safe word that only your inner circle knows to confirm the identity of someone claiming to be a colleague, family member, or friend.   ✔ Use strong passwords. Enable multifactor authentication (MFA) on all company devices and accounts whenever possible. And don’t forget to report AI deepfakes to law enforcement and any relevant social media channels, websites, and other platforms where the encounter took place. All of these tips ALSO work for individuals too because hackers like causing havoc with anyone they can. The question isn't whether AI deepfakes will target your organization. It's whether your organization will be ready when it does.   Food for thought as we kick off Cybersecurity Awareness Month.   ♻ Share our infographic to help companies combat AI deepfakes. 

What happens when deepfake technology becomes a service anyone can buy? I've been tracking the Deepfakes-as-a-Service market, and the numbers are alarming. Deepfake fraud attempts jumped 1,300% in 2024. From one attack per month to seven per day. Here's what keeps me up at night: The February 2024 Arup case. A finance employee joined a video call with the CFO and several colleagues. Everyone looked real. Everyone sounded real. The employee authorized $25.6 million in wire transfers. Every single person on that call was AI-generated. This wasn't some nation-state operation. Underground marketplaces now offer deepfake creation as a point-and-click service. No technical skills required. Just cryptocurrency and malicious intent. The psychology is what makes it work. We're wired to trust what we see and hear, especially when it matches our expectations. A realistic video of your CFO making a familiar request triggers immediate credibility. By the time you think to question it, the money's gone. Traditional defenses aren't enough anymore: → Voice verification systems can be defeated → Video calls don't guarantee authenticity → Even following verification procedures can fail Organizations need multi-channel verification protocols. If someone requests a wire transfer on video, verify through a completely separate channel. Code words. Challenge-response systems. Procedural friction on high-risk transactions. But here's the problem: 99% of security leaders say they're confident in their deepfake defenses. Only 8.4% actually scored above 80% in detection tests. We think we're protected when we're actually vulnerable. Have you updated your verification procedures for the deepfake era? #Cybersecurity #AISecurity #DeepfakeFraud #DigitalRisk #FraudPrevention

🚨 The Rise of AI-Powered Phishing: Why Your Inbox is the New Battleground Phishing has always been a threat, but artificial intelligence has turned it into something far more dangerous. No more broken grammar or suspicious links, now the emails look perfect, the voices sound real, and even the video calls can be convincingly fake. 💡 In one recent case, a global engineering firm lost nearly £20 million after employees joined what looked like a routine video call with executives. The faces and voices were indistinguishable from reality, but the entire meeting was an AI-generated scam. This is the new frontier of cybercrime. But there are ways to fight back. 🔐 Organizations must: ✅ Enforce MFA and multiple approvals for unusual requests ✅ Simulate phishing, deepfake voice, and video attacks in training ✅ Use AI-driven anomaly detection and adopt zero trust 👤 Common users should: ✔️ Question urgency in messages and calls ✔️ Verify sensitive requests with an independent method ✔️ Limit what they share online ✔️ Keep devices updated ✔️ Trust instincts when something feels “off” 🧠 Your inbox is now a battlefield. Defending it requires a mix of sharp human judgment and smarter AI defenses. 💪 Platforms like https://gurucul.com use advanced AI and machine learning to detect anomalies, prevent identity-based attacks, and uncover sophisticated phishing and deepfake threats before they cause damage. Stay alert. Stay informed. Stay secure. #CyberSecurity #AIThreats #Phishing #Deepfake #ZeroTrust #Gurucul #AIDrivenSecurity

Deepfake Dominance in Cybercrime. We’ve crossed a tipping point: 40% of phishing campaigns are now AI-powered. Threat actors are extracting as much as $81,000 from a single victim using deepfake-enhanced tactics. Emails, calls, and even video conferences can now be convincingly AI-generated. This means traditional “spot the red flag” awareness training is no longer enough. Trusting your eyes or ears alone is no longer safe in a world where fraudsters can impersonate anyone. Zero Trust must extend to human identity verification. Confirm unexpected requests for money, credentials, or sensitive data through an out-of-band channel. Layer your controls. MFA, identity verification callbacks, and vendor authentication into daily workflows. Reinforce to employees that hesitation and validation are strengths, not weaknesses. At AdvisorDefense, we’re preparing RIAs for a reality where cybercrime isn’t just about malware, it’s about manipulation. If 40% of phishing is already AI-driven, the question is: how will your firm adapt before the other 60% gets there too? #AdvisorDefense #RIA #Cybersecurity #ZeroTrust

Hackers don’t need your password anymore… they just need your voice. A CFO gets a call from their CEO. CEO: “Approve the wire transfer. Urgent. I’ll explain later.” CFO: “Sending now.” Except... it wasn’t the CEO. It was AI. Someone cloned the CEO’s voice. Called the CFO. Sounded exactly like them. Stole millions. These attacks are getting more advanced. AI-generated voices can impersonate executives, colleagues, and vendors—making phishing calls incredibly convincing. It’s not just phone calls. Fake Zoom invites AI-cloned Teams messages Deepfake Google Meet calls Employees must be trained to verify requests: - Call back on a known number - Cross-check through a different channel - Look for speech inconsistencies Would your team catch the scam? Or would they wire the money? Would they question the CEO’s voice? Or fall for the deepfake? Tools help, but real security comes from continuous, hands-on training - not just a one-time webinar or compliance checkbox. Cybercriminals evolve fast, using AI and deepfakes to outsmart defenses.