Public cloud computing adoption is outpacing cybersecurity defenses. The absence of a physical network boundary to the internet, the risk of accidental exposure by users with limited security expertise, decentralized visibility, and the dynamic nature of the cloud increases the attack surface by orders of magnitude. While point security products may be able to address each discrete challenge, they lack context and create alert fatigue.
More information - and context - leads to better security decision making. RedLock for Azure dynamically discovers cloud resource changes and continuously correlates raw, siloed data sources including user activity, resource configurations, network traffic, threat intelligence, and vulnerability feeds to provide a complete view of public cloud risk. Through a new machine learning-driven approach, RedLock for Azure enables organizations to fulfill their obligations in the shared responsibility model.