Hi Community!, I'm looking how to apply IA and ML on SOC , for cybersecurity, thanks

Nacho81  

There are a number of ways that AI and ML can be applied to SOC for cybersecurity. Some of these applications include:

• Automating threat detection and response: AI and ML can be used to automate the process of detecting and responding to threats. This can free up SOC analysts to focus on more complex tasks, such as investigating incidents and developing new security controls.
• Analyzing large datasets: AI and ML can be used to analyze large datasets of security logs and other data. This can help SOC analysts to identify patterns and trends that might indicate a security breach.
• Building predictive models: AI and ML can be used to build predictive models that can predict future threats. This can help SOC analysts to be proactive in their security efforts.
• Improving communication and collaboration: AI and ML can be used to improve communication and collaboration between SOC teams. This can help to ensure that all teams are aware of the latest threats and that they are working together effectively to respond to them.

Here are some specific examples of how AI and ML are being used in SOCs today:

• CrowdStrike Falcon Prevent: This product uses AI and ML to identify and block threats before they reach endpoints.
• IBM QRadar SOAR: This platform uses AI and ML to automate threat detection and response.
• Splunk Phantom: This platform uses AI and ML to automate incident response.

These are just a few examples of how AI and ML can be applied to SOC for cybersecurity. As the technology continues to develop, we can expect to see even more innovative ways to use AI and ML to improve security.