Cloud development creates a complicated, risky attack surface for security teams. Detection is easy, but prioritizing and fixing issues is painful and time consuming. While cloud attacks happen in minutes, it can take days for security and engineering teams to remediate issues. There is a better way to improve MTTR, make teams more efficient, and reduce exposure. Learn how companies like Takeda, JLL, and Ally are using Dazz patented AI and automation to get a unified view of risk across code-to-cloud pipelines; discover issues, root causes, and owners; and remediate with context in a dev-friendly workflow that removes team friction.