Digital Investigation Challenges in an Evolving Threat Landscape Ongoing digitalization has not only provided investigation teams with new technology systems and capabilities, but, unfortunately, it has given threat actors additional cover to conduct malicious operations and to evade detection As threat actors increase their technical sophistication, the need intensifies for investigation teams to have a robust investigative platform with data fusion and analytics capabilities that will both react to events already in- progress and create a more proactive security posture to prevent incidents from happening altogether This approach will require tackling the exponential rise in the amount of data now being generated, analyzed, and stored for investigations, as well as figuring out a means to synthesize and conduct analysis on diverse data sets and source materials. Security organizations must not only manage and fuse their internal data sources, but also the data coming from other governmental organizations, data from open sources, and data provided from third parties through court orders. Without first fusing and making sense of this disparate data, they cannot employ advanced analytics to analyze it at scale. The significant shortage of qualified analysts, data scientists, and investigators occurring industry-wide highlights the increased need for more automated analysis functions that enable operators to focus on higher-value investigative matters, rather than on manual data analysis. The efficiency generated from a digital intelligence platform should carry over into higher quality and faster time to resolution for the investigations being conducted. Today’s threat environment, one that now bridges between physical and cyber threats, creates a significant challenge for government organizations when it comes to building out modern investigation capabilities As the crime and terror landscape evolves, security organizations’ mandates are shifting, and the types of threats they must investigate are changing, which necessitates that any support technology systems keep pace with rapid changes. A digital intelligence platform must have a flexible data model that can handle new types of data sources as they emerge and become relevant to investigations, whether mobile payment app transactions, dark web forum posts, or digital forensics. As the crime and terror landscape evolves, security organizations’ mandates are shifting, and the types of threats they must investigate are changing, which necessitates that any support technology systems keep pace with rapid changes. The Benefits of Digital Intelligence Platforms to Big Data Investigations 4 All rights reserved © 2022 Frost & Sullivan | www.frost.com