Triaging CSAM Investigations with AI to Reduce Backlog and Increase Probability of Same Day Arrest (EXHIBITOR WORKSHOP)

Over the past 14 years, Netspark has been at the forefront of technological evolution, mirroring the rapid growth and transformation of the internet. In the early days, when the web was primarily text-based, human moderation sufficed. However, as video content began to dominate the digital landscape, the company anticipated the need for more advanced solutions. This foresight led to the development of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) algorithms, ensuring that content moderation could keep pace with the ever-changing online environment. Central to Netspark’s technological advancements is CaseScan, a tool that epitomizes the company’s unwavering commitment to online safety. Specifically engineered to detect Child Sexual Abuse Material (CSAM) on suspect devices, CaseScan operates with unparalleled speed and accuracy. By harnessing Netspark’s state-of-the-art AI and ML algorithms, CaseScan stands as a testament to the company’s ability to innovate and adapt to intricate and evolving challenges. This workshop will provide a detailed overview of CaseScan, highlighting its main benefits, workflow, and mode of operation. Real-world cases of CSAM investigations will be discussed in detail to illustrate the tool’s value and benefits to law enforcement.