In this episode of Cyber Security District podcast, we speak with Marco Ramilli, a cybersecurity visionaire, TEDx speaker, and founder of IdentifAI, a deepfake detection company working at the intersection of AI, trust, and digital identity. From writing early sandboxing papers to leading cyber defense teams and selling his previous startup to VirusTotal (Google), Marco has spent the last two decades safeguarding digital borders.
At IdentifAI, he’s now taking on one of the biggest threats of the AI era: manipulated content. Whether it’s fake insurance claims, fraud in football scouting, or synthetic identities onboarding to banks, his platform uses AI to detect AI: verifying whether images, voices, or videos were generated by humans or machines.
In this episode, Marco shares his founder story, why he believes the shift from deterministic to probabilistic computing will reshape cybersecurity, and how his latest startup scaled to enterprise use cases within a year.
In this episode, we cover:00:00 – Intro
00:14 – Meet Marco Ramilli
01:00 – Hacking the campus network (with a for loop!)
02:15 – Getting caught, and hired for cyber research
03:10 – Reverse engineering malware at UC Davis
04:30 – Cybersecurity in Italy: too early, too expensive
05:45 – Why compliance was seen as a cost
06:20 – Building a company just to be the “owner of his time”
07:00 – Early business struggles & staying focused
08:30 – Why saying “no” saved his startup
10:10 – On embracing failure and learning from loss
11:30 – Curiosity, discomfort, and moving to the U.S.
13:00 – Sleeping on floors and working without backup
14:00 – Founding Yoroi, growing from 4 to hundreds of employees
15:30 – The ransomware era and massive inbound traction
16:45 – Sandboxing: research, papers, and real-world applications
18:00 – Joining Google via acquisition
19:30 – Startup phases and letting go as a founder
21:00 – Hiring advice: don’t save money on great people
23:00 – Launching IdentifAI: how a fake Pope jacket sparked a real mission
25:00 – Building AI to detect AI: early model design
27:00 – From 80% to 96% accuracy in deepfake detection
28:00 – Why images are more dangerous than text
29:45 – The weaponization of synthetic media
31:20 – How IdentifAI detects voice, image, and video manipulation
32:45 – Use cases: banking KYC, insurance fraud, and football scouting
35:00 – API-first strategy and enterprise readiness
36:30 – “Digital Performers” and the ethics of representation
37:30 – Real-time meeting detection via agents
39:00 – Why probabilistic AI is changing the rules
40:00 – How cybersecurity must evolve to deal with uncertainty
43:20 – Deployment flexibility: on-prem or private cloud
46:20 – The philosophical challenge of non-deterministic systems
49:30 – Final message to CISOs: stay curious
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