The Digital Executive – Anatoly Kvitnitsky on Battling Deepfakes and AI Fraud in the Digital Age | Ep 1049

Date: April 24, 2025
Host: Coruzant Technologies
Guest: Anatoly Kvitnitsky, Founder & CEO of AI or Not

Episode Overview

This concise yet rich episode features Anatoly Kvitnitsky, founder and CEO of AI or Not, an AI detection startup. The conversation delves into the rising threat of generative AI misuse—especially deepfakes, synthetic media, and AI-driven fraud. Kvitnitsky shares industry insights and real-world examples, explaining both technical detection methods and the broad implications for digital identity and trust in the digital ecosystem.

Key Discussion Points & Insights

1. Origin Story: Why Start AI or Not?

Timestamp: 01:31–02:32

• Anatoly’s background is rooted in fighting fraud and KYC (know your customer) at leading organizations, like American Express Ventures and Trulioo.
• He saw generative AI’s rapid evolution and realized that as investment poured into advancements, not enough was being invested into preventing misuse.
• "I knew a lot was being invested into generative AI, but I didn't think enough was being invested into stopping the dark side of the technology. So that's where I really started AI or Not." — Anatoly Kvitnitsky (02:17)

2. How Does AI or Not Detect Fakes Across Modalities?

Timestamp: 03:09–05:03

• Images: Each generation tool (Midjourney, ChatGPT4o, Fluxe) leaves subtle, distinct patterns. AI or Not’s algorithms scan for these, which have become undetectable to the human eye.
  • "Elon Musk…said he can't even tell what's AI or not nowadays. And that's an exact quote." — Anatoly Kvitnitsky (04:00)
• Audio: Algorithms analyze wavelength distinctions between synthetic and real voices or instruments.
• Video: Combines pixel/frame analysis with both audio and image detection methods.
• Text: Identifies frequently used words, phrases, and patterns unique to AI-generated text.
• Overarching approach: Pattern and signal recognition, customized for each medium.

3. Industries Most at Risk, With Real-World Examples

Timestamp: 05:43–08:59

• Short-Term Threats:
  • News & Media: Recent Turkish protests included viral, AI-generated images of events that never happened, reported by legitimate outlets.
    • "News outlets were actually reporting on those AI generated images because they were much more...social media friendly. They were much more click worthy because it had Batman and Pikachu and Joker...which actually never happened." — Anatoly Kvitnitsky (06:10)
  • Social Media: Platforms struggle to discern reality; countries like Spain and China are enacting laws mandating AI-content labeling.
  • Finance: Banks and insurers already facing AI-generated phishing, voice scams, and even deepfaked insurance claims.
    • Example: Submissions of fake, AI-generated dental X-rays to insurance companies.
• Long-Term Risks:
  • Potential for 90% of all internet content to be AI-generated, leading to "bots talking to bots" and a loss of trust and authenticity online.
    • "What kind of environment is that when it's just essentially bots talking about?...I don't think any of us signed up to listen to podcasts of two AI speaking, which has happened before." — Anatoly Kvitnitsky (08:10)
• AI or Not aims to be a frontline defense to prevent overrun of digital spaces by synthetic content.

4. Future of Digital Identity in an AI Age

Timestamp: 09:44–12:21

• Digital identity verification processes are "actually okay," but must be "fortified" against AI impersonation.
• Deepfakes and synthetic identities enable convincing scams:
  • Anatoly shares a real case of a user defrauded out of $150,000 by an artist selling entirely AI-generated artworks—complete with fake exhibits.
    • "Without checking one of our users who later found out that the use of AI or Not was actually, you know, was actually AI generated." — Anatoly Kvitnitsky (11:32)
• Risks are broad—money laundering, fraudulent transactions, and the collapse of online trust if these threats aren't addressed.
• Personal touch: "You know, people want to listen to on their drive home is just AI speaking to AI…No one wants to see AI generated content with AI generated comments behind it. I would like to, I don't, for one." — Anatoly Kvitnitsky (11:59)

Notable Quotes

• "I knew a lot was being invested into generative AI, but I didn't think enough was being invested into stopping the dark side of the technology."
  — Anatoly Kvitnitsky [02:17]

• "Elon Musk, one of the creators of Image Generator, among many other things, said he can't even tell what's AI or not nowadays."
  — Anatoly Kvitnitsky [04:00]

• "News outlets were actually reporting on those AI generated images because they were much more...social media friendly."
  — Anatoly Kvitnitsky [06:10]

• "What kind of environment is that when it's just essentially bots talking about. And we are very much keen to that and would like to play our part..."
  — Anatoly Kvitnitsky [08:10]

• "If you can't find who the person behind it is...I think it has really, really negative consequences like financial and just trust on the Internet."
  — Anatoly Kvitnitsky [11:55]

Key Moments by Timestamp

• 01:31 — Inspiration for AI or Not’s founding
• 03:09 — Technical breakdown of AI detection per format
• 05:43 — At-risk industries and recent real-world examples
• 09:44 — The future of digital identity and dangers of AI impersonation
• 11:32 — Real user case: $150k art scam with AI-generated content

Tone & Language

The conversation is practical, insightful, and urgent—grounded in real-world scenarios but focused on solutions. Both the host, Brian, and Anatoly maintain an accessible, conversational style, with Anatoly weaving in anecdotes, direct quotes, and calls for proactive defense against misuse of AI.

Takeaway

Anatoly Kvitnitsky’s episode on The Digital Executive is a wakeup call about the real and present dangers of generative AI misuse in news, finance, and digital identity. AI or Not provides critical tools to detect and counteract synthetic content. The episode ends with a call to fortify digital trust, lest the “bots talking to bots” world becomes our reality.