How Deepfakes Affect Business Operations

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

AI PR Nightmares Part  3- Deep Fakes Will  Strike Deeper (start planning now): Cyber tools that clone voices and faces arent social media scroll novelties, they’re now mainstream weapons causing millions or billions in financial and reputational harm. If you haven’t scenario‑planned for them yet, you have some work to do right Video, audio, and documents so convincing they could collapse reputations and finances overnight. This isn’t distant Sci‑Fi or fear mongering: Over 40% of financial firms reported deep‑fake threat incidents in 2024 and it escalated 2,137% in just three years. 😱 ⚠️ Real-world fraud: The CFO deep‑fake heist: In early 2024, a British engineering firm (Arup) fell victim to a video‑call deepfake featuring their CFO. Scammers walked an employee through 15 urgent transactions, ultimately siphoning off over $25 million. This wasn’t social media fakery, it was a brazen boardroom attack, executed in real time, with Cold War KGB‑level human believability. 🎭 What synthetic mischief will look like tomorrow: 😱 Imagine a deep‑fake video appearing of a Fortune 500 CEO allegedly accepting a bribe, or footage showing them in inappropriate behavior. 😱 And then within minutes it’s gone viral on social and in the mainstream press, before the real person or company one can even issue a statement. The 2025 version of Twain’s “a lie can travel halfway around the world before the truth puts on its shoes”, except a 1000X faster. At that point, the reputational damage is done even if the clip is later revealed as AI‑generated. 🛡️ What companies must be doing now: Audience Action: Internal (Staff): - Run mandatory deepfake awareness training. - Tell teams: “Yes, you might get a video call from your boss, but if it’s not scheduled, don’t act, and verify via text, email or call. Investors & Regulators: - Include a standard disclaimer in all earnings and executive communications: - “Any video/audio statements are verified via [secure portal/email confirmation]. If you didn’t receive a confirmation, assume it’s fake.” Customers & Partners: - Publish your deep‑fake response plan publicly; kind of like a vulnerability disclosure for your reputation. - Say: “We will never announce layoffs or major program changes via a single email/video.” Media & Public: - Pre‑train spokespeople to respond rapidly: - “That video is fraudulent. We’re initiating forensic authentication and investigating now.” Digital Defense: - Invest in deep‑fake detection tools. Sign monitoring agreements with platforms and regulators. Track your senior execs’ likenesses online. 👇 Has your company run deep‑fake drills? Or do you have a near‑miss story to share? Let’s all collaborate on AI crisis readiness.

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

𝘋𝘦𝘦𝘱𝘧𝘢𝘬𝘦𝘴 𝘢𝘳𝘦 𝘵𝘩𝘦 𝘣𝘪𝘨𝘨𝘦𝘴𝘵 𝘦𝘹𝘪𝘴𝘵𝘦𝘯𝘵𝘪𝘢𝘭 𝘵𝘩𝘳𝘦𝘢𝘵 𝘵𝘰 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘵𝘳𝘶𝘴𝘵 𝘵𝘰𝘥𝘢𝘺.”— 𝘛𝘪𝘮 𝘊𝘰𝘰𝘬 Few weeks ago, a Hong Kong CFO transferred $25M to “his CEO” after a video call. The catch? The “CEO” was a deepfake. The voice, mannerisms, and background were flawless. The money? Gone forever. 𝗪𝗵𝘆 𝗗𝗲𝗲𝗽𝗳𝗮𝗸𝗲𝘀 𝗕𝗿𝗲𝗮𝗸 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝗲𝗳𝗲𝗻𝘀𝗲𝘀 – 𝗛𝘂𝗺𝗮𝗻𝘀 𝗮𝗿𝗲 𝗵𝗮𝗿𝗱𝘄𝗶𝗿𝗲𝗱 𝘁𝗼 𝘁𝗿𝘂𝘀𝘁 𝘃𝗶𝗱𝗲𝗼/𝗮𝘂𝗱𝗶𝗼: 74% of employees wouldn’t question a CEO’s video directive (MIT, 2024). – 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝘁𝗼𝗼𝗹𝘀 𝗹𝗮𝗴: 80% of generative AI detection software fails against new models (Stanford). – 𝗦𝗰𝗮𝗹𝗲𝘀 𝗳𝗮𝘀𝘁: One deepfake template can spawn 10,000 custom scams in minutes. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗛𝘂𝗺𝗮𝗻 𝗙𝗶𝗿𝗲𝘄𝗮𝗹𝗹 → 𝗧𝗿𝗮𝗶𝗻 𝘁𝗲𝗮𝗺𝘀 𝘁𝗼 𝘀𝗽𝗼𝘁 𝘁𝗵𝗲 𝘂𝗻𝗰𝗮𝗻𝗻𝘆 • Host red team exercises with fake phishing videos. • Teach “glitch checks”: Unnatural eye blinks, mismatched shadows, AI lip-sync errors. → 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝘃𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗱𝗲𝗮𝗱𝗹𝗼𝗰𝗸𝘀 • Codeword protocols for wire transfers (changed weekly). • Mandate 2FA for 𝘢𝘭𝘭 sensitive actions, even post-login. → 𝗗𝗲𝗽𝗹𝗼𝘆 𝗔𝗜 𝘁𝗼 𝗳𝗶𝗴𝗵𝘁 𝗔𝗜 • Tools like Microsoft’s Video Authenticator analyze pixel-level artifacts. • Blockchain timestamps for official media (Adobe’s Content Credentials). 𝗧𝗵𝗲 𝗦𝘁𝗮𝗸𝗲𝘀 • Gartner predicts 60% of enterprises will face deepfake scams by 2026. • 89% of people can’t spot a high-quality deepfake (MIT Media Lab). • Companies with detection training reduce fraud losses by 63% (IBM). Don’t wait for a deepfake crisis to act. Your face—and your brand—are already being cloned. #CyberSecurity #Deepfake #RiskManagement

Inside the Laundromat #23: Generative AI & Deepfake Fraud in Banking Deloitte highlighted a 700 % increase in deepfake incidents in fintech during 2023 -especially audio deepfakes posing serious risks to banks and clients. Generative AI is making it cheaper and easier to clone voices or videos. In North America alone, deepfake‑enabled fraud surged 1,740 % between 2022 and 2023, and Q1 2025 fraud losses topped $200 million. Real-World Hits: Engineering firm Arup lost $25 million when attackers used a deepfake version of its CFO during a video call to authorize transfers. Similar CEO‑impersonation scams hit multiple FTSE-listed companies, with criminals initiating fake WhatsApp messages followed by voice‑cloned instructions to move funds. Why the system is still behind Traditional risk systems—based on business rules—aren’t built for synthetic AI fraud. Deloitte warns risk frameworks in many banks aren’t equipped for generative AI threats. The Prescription 🔹 Banks must invest in threat-based programs to detect anomalies and deepfake behavior. 🔹 Employee training is key: staff should be taught to spot red flags in audiovisual interactions. 🔹 Firms need to hire or reskill to build deepfake detection capabilities. Why This Matters for Financial Institutions GenAI doesn’t just automate content - it empowers entirely new methods of impersonation. Deepfakes amplify traditional social‑engineering by layering it with hyper-realistic audiovisual deception. That drastically raises the bar for fraud prevention and detection. Recommended Moves: 🔹 Simulate deepfake scams in phishing drills—make them realistic and test audio/video angles. 🔹 Red‑team AI‑voice attacks: produce mocks of your execs’ voices to train both tech and teams. 🔹 Deploy real‑time detection tools that analyze video/audio integrity using watermarking or anomaly detection. 🔹 Policy overhaul: draft protocols for verifying suspicious requests via secondary channels (e.g. confirmed calls or in-person signoff). 🔹  Cross-industry collaboration: share deepfake attack intelligence with other firms and regulators. What’s Next? 🔹  AI fraud loss may hit $11.5 billion in the U.S. within four years, due to GenAI phishing and impersonation attacks. 🔹  Regulatory shifts (e.g. EU AI Act) are on the horizon, pushing for transparency, watermarking, and auditability in synthetic media. Bottom line: Deepfake fraud is no longer futuristic fiction - it’s happening right now, and banks are still scrambling to catch up. Protecting clients and assets means thinking like the fraudster - then enacting plans to get ahead and stay ahead. #InsideTheLaundromatv#FinancialCrime #DeepfakeFraud #AIFraud #VoiceCloning #SyntheticIdentity #BankFraud #GenerativeAI #ImpersonationFraud #FraudDetection

$25.6 million lost in 30 minutes. The CFO was fake. The Zoom call was real. That’s not a movie script. It’s 2025 reality. At Arup, a finance professional wired $25.6M after a video call with what he thought was his CFO and colleagues. They were all deepfakes. And Arup isn’t alone. Ferrari recently faced a real-time voice clone of its CEO, Benedetto Vigna, used in an attempted acquisition scam. The impersonation was so convincing it almost worked—until an executive challenged the fake CEO with a question only the real one could answer. I’ve spent over 25 years in computer forensics and cybersecurity, and I can tell you this: AI-powered deepfake scams are now on the list of the most dangerous, trust-shattering threats enterprises face. The Escalating Reality of Executive Deepfakes: • WSJ (Aug 2025): Fraudsters are spoofing CEOs’ voices and faces in real time. • In Q1 2025, businesses lost $200M+ to executive deepfakes. By mid-year, losses hit $410M. • U.S. projections: $40B in AI fraud losses by 2027. • 51% of cybersecurity professionals report their companies have already been targeted. Has your company’s board ever discussed this threat? (Most haven’t.) *Why Deepfakes Are Different* Traditional phishing relies on red flags: misspellings, bad links, odd domains. Deepfakes weaponize trust itself: • A “CEO” answering you live on Zoom. • A “CFO” giving urgent instructions. • Realistic tone, cadence, and facial expressions. DeepStrike reports a 900% increase in attack volume YoY. ID fraud using deepfakes surged 3,000% in 2023. The Cost of Inaction: • Avg loss per incident: $500K • Major enterprise events: $25M+ • Cumulative losses since 2019: nearly $900M (+400% in just 18 months) But the biggest loss isn’t money—it’s trust in leadership communication. If employees can’t trust a CEO’s face or voice, every critical decision slows—or worse, gets manipulated. What Boards Must Do Now: 1. Verification First – Multi-channel confirmation for sensitive actions, no matter how urgent. 2. Deploy Detection – AI tools that flag anomalies in audio and video. 3. Board & Finance Training – Equip teams to challenge requests that feel even slightly off. 4. Zero-Trust Communication – Treat executive voice and video as potentially compromised. *Closing Perspective* At Mandiant Labs, I learned one lesson: attackers don’t wait for regulation. They exploit gaps long before governments catch up. That’s what’s happening now. The EU AI Act and U.S. AI bills are slow. Deepfake attackers are moving at AI speed. The question is no longer “Could this happen to us?” It’s “When—and will we be ready?” Greg Jones Founder & Principal, PRIMSEC Advisor to enterprise leaders on organizational and cybersecurity strategy, insider threats, and AI-driven security architecture Your Turn: Is your board prepared for deepfake CEO fraud? Comment with your company’s first line of defense and share this post so your CFO and leadership team see it before it’s too late.

This is one of the first reports I have seen on the risk and real world examples of Deepfakes. The Monetary Authority of Singapore (MAS) released a report last week that says in the last 18 months, deepfake technology has evolved into a weapon. it says that Financial institutions across Asia have reported multimillion-dollar losses from scams involving AI-generated video calls, fake documents, and impersonated executives. For example, the report says that one Hong Kong firm was tricked into transferring $25 million after a deepfake video conference featuring their CFO. 𝗪𝗵𝗮𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴? According to MAS: → Deepfakes are now being used to defeat biometric authentication, impersonate trusted individuals, and spread misinformation that manipulates markets. → These attacks are no longer theoretical. They’re global, sophisticated, and increasingly difficult to detect. → The financial sector is especially vulnerable due to its reliance on digital identity verification, remote onboarding, and high-value transactions. 𝗪𝗵𝗮𝘁 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗱𝗼 𝘁𝗼𝗱𝗮𝘆 Based on the best advice I've seen, here are a few recommendations: → Audit your biometric systems: Ensure liveness detection is in place. Test against deepfake samples regularly. → Train your teams: Run deepfake simulation exercises. Teach staff to spot signs of manipulated media and verify requests through trusted channels. → Strengthen high-risk processes: Add multi-factor authentication, separation of duties, and endpoint-level detection for privileged roles. → Monitor your brand: Use tools to detect impersonation attempts across social media, video platforms, and news outlets. (Check out Attack Surface Management and Threat Intelligence solutions.) → Update your incident response plans: Include deepfake scenarios. Establish rapid escalation channels and trusted communication pathways. → Collaborate: Share intelligence with peers, regulators, and ISACs. The threat is too complex for any one organization to tackle alone. --- 𝗔 𝗥𝗘𝗔𝗟 𝗘𝗫𝗔𝗠𝗣𝗟𝗘 Okay, just to prove this is real. Here is a screenshot of a deepfake our team did almost 𝟮 𝘆𝗲𝗮𝗿𝘀 𝗮𝗴𝗼 using free software.

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

M&S, Harrods and Co-op have all been hit by serious cyberattacks this year, with M&S losing hundreds of millions in value when payments went down. One emerging threat? Fake remote workers. Some firms have hired North Korean operatives with AI-polished faces, stolen identities and spotless (because fraudulent) background checks. The suggested fix? Keep your cameras on. The reality? Deepfake video feeds are already good enough to fool entire conference rooms, Arup learned this the hard way when a synthetic CFO ordered a $25m transfer. This isn’t a visibility problem. It’s a verifiable identity problem. Banks use strong biometrics, cryptographic proofs and verifiable credentials for KYC every day. Employers need the same for KYE. Digital signatures can’t be deepfaked; video calls can. So here’s the question: Are we finally ready to move from “seeing is believing” to “cryptographically proving is believing”? #digitalidentity #verifiablecredentials #authentication #authorisation #verification

I just submitted my comments to FINRA about deepfakes in financial services. They asked for input on modernizing rules for the digital workplace. Naturally, I had thoughts. FINRA's 55-page regulatory notice covers everything from remote work to AI chatbots. Buried on page 44? A single paragraph about deepfakes. One paragraph. For a threat that could cost financial services $25 billion by 2027. Here's what's happening right now: Deepfakes are bypassing biometric verification during customer onboarding. AI voices are authorizing wire transfers. Synthetic executives are joining Zoom calls. And the current rules? They assume the person on your screen is actually a person. Wild assumption in 2025. The fascinating part isn't that regulators are behind the curve. That's expected. It's that they're asking the right questions. "How have technological advances helped or hindered members' ability to fight fraud?" Great question. Here's the answer no one wants to hear: The same AI making compliance more efficient is making fraud more effective. It's an arms race. And right now, the bad guys have better weapons. At Reality Defender, we see the casualties daily. Banks discovering their "CFO" never joined that call. Investment firms realizing they onboarded synthetic identities. The good news? FINRA's listening. The better news? We don't need to wait for new rules to protect ourselves. Because while regulators debate modernization, someone's using your earnings call to train their voice model. Read more about why we did this and see our comments in full below 👇 https://lnkd.in/en7nVb9a