Explore the critical shift towards contextual security in threat intelligence through this 23-minute conference talk from USENIX Enigma 2022. Delve into the challenges of automating trustworthy explanations of cyberattacks, examining the limitations of current machine learning-based security solutions and how contextual approaches can address them. Learn about the importance of deep system knowledge, real-time environmental data, and effective communication in cybersecurity. Discover the potential of knowledge graphs in threat intelligence and gain insights into ongoing research on explanation-based security. Understand key concepts such as continuous learning, provenance reasoning, and the generation of contextual knowledge graphs to enhance cybersecurity practices.