From Concept to Context Engine: How Wiz Built AI-Powered Data Discovery
Inside the multi-agent pipeline and feedback loops that turned a bucket scanner into a context engine.
Daniel Lazarev has a Bachelor's in Computer Science and six years of experience in fraud and security research, including developing and creating ML/AI models for research and detection purposes.
Inside the multi-agent pipeline and feedback loops that turned a bucket scanner into a context engine.
Building an efficient small language model for cybersecurity, from data prep to deployment
AskAI – Text to Security Graph Query