If you need a system that can spot and respond to data exfiltration in real time, Nightfall is worth a look. This AI-native data leak prevention system is designed to spot, classify and protect sensitive data in SaaS and cloud applications. It can encrypt data, monitor SaaS security posture and use a powerful firewall to cut down on the likelihood of data theft. Nightfall can handle more than 100 file types and dozens of SaaS applications, so it should be adaptable to your organization's needs.
Another good option is Vectra AI, which uses AI-powered Attack Signal Intelligence to spot and respond to threats in real time. It can monitor hybrid cloud environments continuously, including public cloud, SaaS, identity, network and endpoint security. Vectra AI's AI technology cuts alert noise by 80% and covers 90% of hybrid cloud MITRE ATT&CK techniques, so it should help your SOC run more efficiently.
If you're looking for a more complete insider risk and data protection system, check out Next DLP. Its Reveal platform uses machine learning and AI to protect data and manage insider risk. It can coach employees in real time about how to handle sensitive data and intellectual property, a feature that could be particularly useful for companies with sensitive data like financial services and health care.
Last, Darktrace offers an end-to-end cybersecurity system using Self-Learning AI to spot and respond to in-progress cyber attacks. It can spot threats in real time and respond automatically to cloud, email, endpoint and network security. Darktrace's system is flexible and can scale up or down, so it's good for companies of all sizes that want to get ahead of cyber attacks.