John, in the realm of computer security, researchers face a persistent challenge: they typically have abundant access to labeled malicious samples (malware, phishing domains, etc.) but struggle to obtain comprehensive labels for benign samples (legitimate software, trustworthy websites, etc.). Collecting these benign labels often proves prohibitively time-consuming and expensive at scale.
DNSFilter's Chief Data Scientist, David Elkind, has published groundbreaking research demonstrating how this conventional approach creates inherently biased security models. In this upcoming webinar, David will share his innovative findings and demonstrate how DNSFilter's Malicious Domain Protection leverages these research insights to identify threats an average of 10 days faster than competing technologies. | 
