Question: Can you recommend a solution that uses machine learning to identify potential security threats based on network activity?

If you're looking for a product that uses machine learning to spot potential security problems based on network activity, Darktrace is a good option. The end-to-end cybersecurity platform uses Self-Learning AI to spot and respond to in-progress cyber attacks as they happen. It offers real-time threat detection, contextual understanding, threat correlation and automated response, and a single view of security threats across clouds, devices, communications and more.

Another good option is Vectra AI. The platform uses AI-powered Attack Signal Intelligence to spot threats in real-time and offers continuous protection across hybrid cloud environments. It integrates with other security tools to cut alert noise by 80% and cover more than 90% of MITRE ATT&CK techniques, so it's a good option for security analysts and SOC teams.

If you want a more complete, cloud-native option, check out CrowdStrike. It offers more advanced protection for endpoints, cloud workloads, identities and data, including real-time identity protection and next-gen SIEM for complete threat visibility. The platform also includes a generative AI security analyst and automated threat intelligence, so it's a good option for businesses that want to fight advanced threats.

Last, SentinelOne offers a single AI platform for endpoint, cloud, identity and data protection. It offers next-gen EPP, EDR and XDR tools along with real-time cloud workload protection and identity threat detection. The platform includes 24/7 threat hunting and managed services, so it's a good option for organizations that want to reduce risk and improve efficiency.