Security Information and Event Management (SIEM) is a system that helps organizations to detect and respond to cybersecurity threats. It works by collecting security data from various sources such as network devices, servers, applications, and other security devices, and analyzing that data for any suspicious activity. The goal is to identify potential security incidents, investigate them, and respond to them quickly before they cause harm to the organization. SIEM solutions also offer capabilities such as threat intelligence, user and entity behavior analytics (UEBA), and compliance reporting.
There are many SIEM solutions available in the market that offer different features and functionalities. Here is a list of the best SIEM solutions:
LogRhythm
IBM QRadar SIEM
Microsoft Azure Sentinel
Securonix
LogPoint
Elastic Stack
Splunk
RSA NetWitness Platform
AT&T Cybersecurity
Sumo Logic
Exabeam
It is essential to evaluate different SIEM solutions based on the organization’s specific needs, budget, and goals. Evaluating SIEM solutions helps organizations select the most effective solution that can reduce risk, enable compliance, and enhance security posture. Moreover, organizations should regularly review their SIEM solutions to ensure that they are up to date with current security trends and evolving threat landscapes. This way, they can continue to enhance their security posture and stay ahead of potential security threats.
Cyber attacks demonstration using Azure Sentinel SIEM
The project below demonstrates how I set up a cloud based SIEM, as well as virtual machine in the cloud which was used as a honeypot. It had vulnerabilities to the internet which I monitored and logged the attacks from different ip addresses, from different countries all over the world. I extracted the failed log on data and ingested it into Azure Sentinel and presented it on a world map so you can visualize where the attacks were coming from.