FBI reportedly turned to AI after the White House Correspondents' Dinner attack, here's how it works

A new report indicates that AI-assisted forensic software was among the technologies used during the FBI's investigation into the attempted assassination at the 2026 White House Correspondents' Dinner.

According to Axios, the FBI used digital forensics company Exterro’s software during the critical period following the attack. While federal authorities have not disclosed exactly how the platform was used, the case illustrates the growing role of AI.

The outlet also reported that Exterro's FTK Suite (the digital forensics platform the FBI used) was used during the roughly 48-hour period between the incident and the filing of charges against Cole Thomas Allen, the individual accused in connection with the attempted assassination.


Exterro further told the publication it could not reveal the specific investigative tasks performed by the FBI using its software. However, company executives said investigators commonly use the platform to examine large collections of digital material, including information recovered from seized electronic devices, social media accounts, and other digital records relevant to an investigation.

Previously released information from the US Department of Justice stated that investigators examined numerous sources of evidence, including seized mobile devices, cloud accounts, email records, travel data, financial records, surveillance footage, and digital metadata collected from the Washington Hilton, where the White House Correspondents' Dinner was held.

What Exterro's AI platform is designed to do

Unlike generative AI systems built for creating content, Exterro's FTK Suite is designed for digital forensic investigations. The platform enables investigators to collect, process, organize, and search large quantities of electronically stored evidence within a centralized repository that authorized personnel can access simultaneously.

According to demonstrations cited by Axios, investigators can interact with the software's built-in AI assistant using natural language prompts. Instead of manually reviewing thousands of files, users can ask the system to identify specific types of images, locate videos featuring a particular individual, or determine whether available evidence places someone at a particular location during a specified period.

The company says the platform is intended to accelerate evidence review rather than replace human investigators, allowing analysts to focus their attention on information that may be most relevant to a case.

AI adoption continues to expand across law enforcement

The reported use of AI-assisted forensic software reflects a broader trend across law enforcement agencies worldwide. As digital devices generate enormous amounts of potential evidence, investigators increasingly rely on advanced software to process information more efficiently.

AI-powered forensic tools are now being explored for applications ranging from cold case investigations and missing persons cases to reviewing extensive digital evidence before criminal trials. These systems can help identify patterns, organize files, and reduce the time required to examine millions of digital records.

However, legal experts have also raised important questions about transparency, accuracy, and accountability. Courts increasingly face the challenge of determining whether digital evidence has been altered using AI technologies, including sophisticated deepfake content. To address those concerns, forensic software providers have begun incorporating tools designed to help detect manipulated images, videos, and other digital media.