20MinuteLeaders

Years before deepfakes hit the mainstream, Akis Papadopoulos was already sounding the alarm. From early GAN breakthroughs to today’s ultra-realistic, low-res media threats, he’s led research at the intersection of AI, media forensics, and public trust. In this episode, he explores why detection alone isn’t enough—and how explainability, user experience, and civic responsibility must shape our response to synthetic media.

Ilke Demir’s journey from computational geometry to combating deepfakes began with a question: what makes something truly human? At Intel’s Trusted Media team, she developed FakeCatcher, a tool that detects deepfakes using biological signals like heart rate. In this episode, she unpacks the technical, ethical, and social layers of media trust, explaining why provenance and human perception matter as much as detection. Her insights reveal how defending truth in the AI age isn’t just about better algorithms—it’s about understanding people.

John shares his journey into deepfake detection, exploring the challenge of making AI explainable and trustworthy for users like journalists and law enforcement. He dives into the complexities of interpreting AI results, the limits of current tools, and why human insight remains vital. His work bridges cutting-edge technology with real-world understanding to help navigate evolving digital threats thoughtfully and responsibly.

Shuky Peleg reflects on decades in cybersecurity, from mainframes to AI-driven threats. He explains why employees shouldn’t be the last defense line and explores evolving social engineering tactics. Shuky highlights the growing role of automation, risk scoring, and the need for continuous vigilance in a rapidly changing threat landscape.

Assi Ungar shares how a career that began with WordPerfect support evolved into leading global cybersecurity at scale. He reflects on why trusting nothing is now a safety measure, why process beats panic, and how empathy—not fear—is the CISO’s strongest tool. He also explores AI’s double-edged role in modern security and why protecting personal spaces is now just as vital as enterprise systems.

Fraud‑investigator‑turned‑entrepreneur Ori Eisen revives the 1990s “nobody knows you’re a dog” cartoon to show how today’s Gen‑AI deepfakes make that joke a board‑level risk. Tracing his path from inventing device‑fingerprinting to launching insured, passwordless logins, he argues identity—not credentials—is the internet’s final perimeter, urging enterprises to gauge every transaction by human‑level risk, from library cards to dam controls.

Journalist Pamposh Raina and fact‑checking founder Rajneil Kamath scale multilingual verification from crowded newsrooms to India’s Deepfake Analysis Unit, confronting election‑time AI fakes. They expose the media‑literacy chasm fueling misinformation and show how open, multi‑tool collaboration can sustain regional information integrity.

MD‑turned‑neuroscientist Nima Schei shares how modeling the brain’s limbic system led him from crab‑neuron labs to Guacamole ID—lightweight, continuous desktop authentication—while devising guardrails against deepfakes and MFA fatigue. His bio‑inspired algorithms suggest emotional intelligence in machines can raise trust, cut compute, and free teams in fast‑moving enterprises.

When Lucas Hu witnessed a deepfake breach his firm’s defenses, he recognized the limits of traditional tooling. Leveraging a decade of ML research and hands-on cybersecurity experience, he pioneered a “Swiss cheese” model—layering email, domain, and behavioral signals—to outsmart evolving phishing and deepfake attacks.

After witnessing a high-stakes breach test turn real, Joshua Crumbaugh shifted from underground hacking roots into marketing strategy, then combined both to pioneer ethical social engineering. At Phish Firewall, he applies behavioral science and AI-powered micro-simulations to train employees in role-specific threat responses and foster a culture of vigilant defense.