With so many potential cyber security risks at hand, it can be difficult to determine which alerts and activities are risks to your organization and which are false positives. More importantly, which risks your organization can live with, which it can’t, and which it can cope with when reduced to an acceptable level.
- Insights from top cyber security incidents and why the attackers remained undetected
- Examples of how analytics can collect and contextualize activity in your network to map to risk
- Steps to build a framework to help you define an acceptable level of risk
- Examples of how machine learning and user behavior analytics can minimize insider threats