Security analytics is not a particular tool, rather it is an approach to cybersecurity. Thorough analysis of data in order to implement proactive security measures is the essence of security analytics. It includes gathering data from every possible source to identify patterns. Nobody can predict the future but with cybersecurity analytics, you can make pretty accurate, informed guesses about it.
By deploying cybersecurity analytics tools, you can analyse past and current security events in detail, thus you can find out vulnerable spots where a hacker might attack or you can detect a threat before it makes an impact on your infrastructure.
Various types of data sources can be employed in cybersecurity analytics. Such as:
- Network traffic and patterns
- Threat intelligence
- Antivirus software
- External threat intelligence sources
- Devices connected through internet and USB
- Geolocation data
- User data
- Cloud resources
- IDS, IPS logs
- Non-IT contextual data
Moreover, well-implemented cybersecurity analytics tools can both alleviate your network’s security situation and help your business with its compliance needs. Many industry-specific regulations such as HIPAA and PCI-DSS strictly require log data collection along with activity monitoring.
Evolved from SIEM, cybersecurity analytics answers a greater need for security. Having SIEM, Behaviour Anomaly Detection and Threat Intelligence as essential pillars, cybersecurity analytics provides your IT professionals with strong and efficient tools for keeping your business safe. With the proper implementation, cybersecurity analytics tools can detect attacks, misuses and such in seconds, contain infections, prevent intrusions.
But how does cybersecurity analytics make such big difference? The short answer lies behind its ability to turn massive data into meaningful information. Below you can find two areas where cybersecurity analytics works its magic.
Establishing context: Every moment, cybersecurity tools you implement gather gigantic amounts of data. Network data is an instance. It provides you with crucial information if you have eyes to see it. In other words, if you can understand the context of behaviour. For instance, how is this particular piece of device is acting compared to others, and compared to two days, or five weeks ago? Only with such data you can evaluate its behaviour correctly.
Providing meaning: As we stated above, a great amount of data is gathered and requires attention every day in an IT environment and it is indispensable to go through this data and identify events that pose an issue or require closer investigation. With the help of cybersecurity analytics, your IT team doesn’t have to go through every piece of information by themselves. Today’s cybersecurity analytics tools go above and beyond when it comes to detecting unusual behaviour, problematic patterns and incidents that require an action. Namely, such tools connect the dots for you.
To conclude, cybersecurity analytics is the modernised, efficient way of identifying and treating security vulnerabilities and issues.