With the role of IT becoming ever more essential to the daily operations of businesses, continuous security updates need to be undertaken to ensure that your organisation remains safe. All IT devices generate huge amounts of log records and audit reports, and these need to be managed, categorised and analysed in order to help with security.
However, log analysis can be difficult, and mistakes can be made which use up valuable resources while also being a security risk. As such, our experts at Logit have created this short guide on the most common log analysis mistakes to help you avoid them.
- Not having a centralised log system
Although you will be receiving log data from many different devices, potentially from different geographic locations, it is vital to have centralised logs in order to make management easier. Centralised logs will also streamline your analysis, allow searches to be undertaken more efficiently, as well as making it easier to spot any anomalies.
- Only undertaking analysis after a security incident
While reviewing your log information after a security incident is a necessity and may help you to uncover information about the incident, while also understanding steps that should be taken to avoid such an incident again, it is a mistake to only look at logs after the event. By reviewing logs continuously, you can work in a proactive manner and potentially resolve a security threat before it escalates.
- Storing logs for a short amount of time
When storing logs for security purposes, it is vital to consider the retention time. Given the amount of investment that has gone into the storage hardware and monitoring skills, your business needs to ensure that it keeps security logs for a significant amount of time, especially as many incidents are only discovered a long time after the crime has been committed. It is advised to archive any old logs rather than delete them completely, as this allows for cost-effective off-line storage while also allowing for future access.
If you enjoyed this post on common mistakes to avoid when analysing data then why not check out our blog on tips for successful data analysis.