Adversarial AI Forensics

In an era where digital evidence vanishes in milliseconds, encryption shields secrets from view, and adversaries outpace traditional investigative tools, the convergence of artificial intelligence and forensic science has become inevitable, and contested.

Adversarial AI Forensics explores the front lines of a perpetual arms race. As investigators deploy machine learning to hunt threats across networks, reconstruct volatile memory, decode hidden communications, and build unassailable cases, sophisticated adversaries weaponize the same technologies to poison training data, craft imperceptible evasion attacks, and manipulate evidence. The book examines both sides of that contest and what it means for the integrity of digital investigations.

Written by Rebecca M. Basta, Stavros Basta, and Alfred Basta. Available in Kindle and hardcover editions (560 pages).