Detection & Prevention
Vernon Yai brings a sharp focus to the intersection of data governance and the burgeoning world of autonomous agents. As enterprises move beyond simple retrieval-augmented generation (RAG) models, the need for a business brain—or ontology—becomes paramount to ensure AI doesn't just guess but actually understands. In this conversation, we explore
The rapid integration of artificial intelligence into enterprise workflows has introduced a new class of security vulnerabilities that bypass traditional defense mechanisms by targeting the underlying infrastructure of machine learning development. As of early 2026, the complexity of cloud-native AI platforms has reached a point where minor
The rapid expansion of the digital attack surface has outpaced the ability of traditional security tools to maintain a cohesive and effective defensive posture for most modern enterprises. While numerous standalone utilities exist to handle specific tasks like reconnaissance or vulnerability scanning, the manual effort required to aggregate their
The digital silence of a compromised server often masks a relentless data siphon that can persist for years without ever triggering a single alarm bell in a modern security operations center. For over a year, a sophisticated espionage campaign operated undetected within the heart of North American defense and medical research institutions. This
The discovery of an advanced "evasion lab" where cybercriminals leverage artificial intelligence to systematically bypass modern security defenses highlights a significant shift toward professionalized malware engineering. This environment is not just a collection of random scripts but a structured modular post-exploitation framework designed to