[Webcast] Detecting the Undetectable: Deepfakes Under the Digital Forensic Microscope (August 6, 2025)
[Webcast] Detecting the Undetectable: Deepfakes Under the Digital Forensic Microscope (August 6, 2025)
Deepfakes—hyper-realistic synthetic media generated by AI—are no longer fringe phenomena. From fake video evidence in litigation to impersonation in financial fraud and disinformation campaigns, the impact is real and growing. During this upcoming HaystackID® webcast, leading professionals will dig into the risk posed by deepfakes to truth, trust, and digital integrity and how digital forensic experts can identify, analyze, and combat deepfakes in legal and investigative contexts.
The speakers will discuss:
- What constitutes a deepfake and an overview of synthetic media, GANs (Generative Adversarial Networks), and their evolution.
- Practical signs and metadata anomalies that may indicate deepfake manipulation.
- How digital investigators can use detection techniques, such as AI-powered tools, to identify deepfakes.
- How to ensure authenticity and admissibility in court when digital manipulation is suspected.
Webcast Details
Join leading experts as they walk through real-world case studies, technical methodologies, and evolving detection techniques that help separate fact from fiction in today’s altered reality.
+ Date: Wednesday, August 6, 2025
+ Time: 11 AM CDT / 12 PM EDT
+ Registration Link
Expert Panelists
+ John Wilson, ACE, AME, CBE
Chief Information Security Officer and President of Forensics, HaystackID
As Chief Information Security Officer and President of Forensics at HaystackID, John provides consulting and forensic services to help companies address various matters related to electronic discovery and computer forensics, including leading forensic investigations, cryptocurrency investigations, and ensuring proper preservation of evidence items and chain of custody. He regularly develops forensic workflows and processes for clients ranging from major financial institutions to governmental departments, including Fortune 500 companies and Am Law 100 law firms.
+Todd Tabor
Vice President of PMO, Forensics
In 2021, Todd Tabor joined HaystackID and is currently the Vice President of PMO, Forensics. In this role, he is responsible for the identification, hiring, training, and development of HaystackID’s Forensic Project Management Team as well as developing the processes and procedures of that team. Prior to joining HaystackID, Todd was the Executive Vice President of Operations for Veristar.
+ Rene Novoa, CCLO, CCPA, CJED
Vice President of Forensics, HaystackID
As Vice President of Forensics for HaystackID, Rene Novoa has more than 20 years of technology experience conducting data recovery, digital forensics, eDiscovery, and account management and sales activities. During this time, Rene has performed investigations in both civil and criminal matters and has directly provided litigation support and forensic analysis for seven years. Rene has regularly worked with ICAC, HTCIA, IACIS, and other regional task forces supporting State Law Enforcement Division accounts and users in his most recent forensic leadership roles.
About HaystackID®
HaystackID solves complex data challenges related to legal, compliance, regulatory, and cyber events. Core offerings include Global Advisory, Data Discovery Intelligence, HaystackID Core® Platform, and AI-enhanced Global Managed Review powered by its proprietary platform, ReviewRight®. Repeatedly recognized as one of the world’s most trusted legal industry providers by prestigious publishers such as Chambers, Gartner, IDC, and Legaltech News, HaystackID implements innovative cyber discovery, enterprise solutions, and legal and compliance offerings to leading companies and legal practices around the world. HaystackID offers highly curated and customized offerings while prioritizing security, privacy, and integrity. For more information about how HaystackID can help solve unique legal enterprise needs, please visit HaystackID.com.
Assisted by GAI and LLM technologies.
Source: HaystackID