8. Analytics and Monitoring
One of the most problematic elements of Cybersecurity is understanding the nature of Security Risks and Threats. The most effective solution is to plan for a Proactive and Adaptive Strategy.
Predictive Indicators can proactively identify risks before they result in massive data loss. Today’s Cyber Criminals tend to construct a layered software of files (i.e: PDF, MS Words, JPGS) that are designed to steal small bits of data over a long period of time without being detected.
Predictive Analytics can detect these Data Anomalies early on, looking for hidden data that is being reformatted or encrypted to avoid detection.
With Predictive Analytics, risks are evaluated and ranked. If a malicious behavior is suspected, the Analytics Engine alerts the right people about the suspicious behavior, ranking it from highest to lowest risk.
With limited resources, Organizations need to identify the most severe cases first by prioritizing alerts based on potential impact and then by handling all alerts efficiently. One approach is to have levels of Security Analysts with different skill levels.
Businesses must identify and address both known and unknown risks when developing a Cyber Defense Program.
We need an approach that is Proactive, Agile and Adaptive. The old reactive methods, which are based on handling known risks, prevention and mitigation, are not sufficient. Today, we need an Innovative Approach:
1. It begins with the capability to have full visibility across the Organization’s Network and Data Path
2. Next, it must have this visibility in real time and adapt it to the Organization Policies and Procedures
3. Next, it must monitor how systems and people behave in and around the Network and the Data
4. Finally, it must identify changes in behavior which will allow us to identify Malicious Activity and Cyberattacks — then, we will take the necessary steps to protect the Network and Data.