Key points:

• What deepfakes are:
  AI-generated or manipulated images, audio, and video used for impersonation, social engineering, and fraud. Techniques include face swaps and voice cloning, with rapidly expanding criminal use cases.
• Why they matter now:
  Deepfake fraud is accelerating fast, driven by cheap tools, open models, and weak identity verification controls. The risk spans financial fraud, executive impersonation, evidence manipulation, and reputational damage, with policy and governance struggling to keep pace 
• Detection approaches compared:
  • Enterprise solutions: Scalable and polished, but costly and often opaque.
  • Open-source options: Viable, affordable alternatives when used correctly.

Presenter: Joseph Pochron

Joseph Pochron works in the Digital Investigations & Cyber Risk practice of Nardello & Co.  and has more than 20 years’ experience in digital forensics, cybercrime investigations, eDiscovery, and cyber incident response. Joe has investigated or managed thousands of cases involving the collection and analysis of computer, mobile device, network, and cloud-based data in support of complex litigation. Joe routinely consults with clients regarding digital forensics, insider threats, data privacy, incident response and electronic discovery matters and has testified as a digital forensics expert numerous times in local, state, and federal cases.

Notable matters for Joe include: executing digital forensic analysis and expert witness testimony in support of retail clients selling consumer media devices allegedly used to allow for online piracy; providing cyber breach services for a global technology company that required deployment of cyber triage tools and forensic imaging in various countries and; completing an Insider Risk maturity assessment and providing supplemental insider risk program design for a large international bank.