This white paper uses a metaphorical approach to illustrate the fundamental differences between these two security paradigms, drawing parallels between protecting a house with fixed sensors and safeguarding it with a dynamic laser field.
As the landscape of cybersecurity continues to evolve, the need for advanced threat detection and response mechanisms becomes paramount. Traditional rule-based Indicator of Compromise (IoC) systems, akin to positioning sensors at known points around a house, are being surpassed b y the innovation of Machine Learning-driven Indicator of Behavior (IoB) systems.