Question: Is there a security platform that uses AI and machine learning to reduce false alarms and automate responses?

For a security platform that uses AI and machine learning to minimize false positives and automate response, Vectra AI is a top contender. The platform uses AI-powered Attack Signal Intelligence to identify and respond to threats in real-time, reducing cyber risk and improving SOC efficiency. It provides continuous security across hybrid cloud environments and managed extended detection and response services, which can reduce alert noise by 80% and cover more than 90% of hybrid cloud MITRE ATT&CK techniques.

Another top contender is Darktrace, which uses Self-Learning AI to detect and respond to cyber attacks in real-time. The platform learns from an organization's daily operations to provide unified threat detection and automated response across cloud, devices, communications, and locations. It works for businesses of all sizes and is designed to integrate with existing security tools, reducing risk and improving efficiency.

SentinelOne offers a unified cybersecurity AI platform for endpoint, cloud, identity, and data protection. It includes next-gen EPP, EDR, and XDR tools for real-time visibility, 24/7 threat hunting, and managed services. With its strong security features and industry accolades, SentinelOne is a top choice for reducing risk and improving efficiency.

Lastly, CrowdStrike offers a comprehensive, cloud-native cybersecurity solution with advanced protection for endpoints, cloud workloads, identities, and data. Its unified cloud security offering includes agent and agentless protection, real-time identity protection, and a next-gen SIEM. CrowdStrike's AI-powered platform is designed to integrate with existing security tools and is built to protect against advanced threats, making it a great option for businesses looking to improve their cybersecurity posture.