Question: I need a solution that combines human expertise with machine learning to improve threat detection and response.

For a hybrid approach that marries human expertise with machine learning to improve threat detection and response, AgileBlue is a top contender. The platform uses AI to detect and respond to attacks on cloud, network, API and endpoint infrastructure. By combining human expertise with automation, AgileBlue provides more accurate and faster threat detection and response, resulting in a substantial decrease in the mean time to detect and respond. Its collection of tools includes 24/7 monitoring, cloud-based SIEM, endpoint detection and cyber risk scoring.

Another strong contender is Flashpoint, which combines human intelligence with technology to help companies protect themselves from cyber threats. It offers tools to identify, assess and prevent security issues, including vulnerability and physical security risks. Flashpoint is geared for teams in industries like financial services and technology manufacturing, and it can be integrated with existing tools to help improve security posture and response times.

BlueVoyant also has a strong option with AI that helps human cybersecurity professionals. It offers 24/7 managed detection and response, supply chain defense and digital risk protection. BlueVoyant's cloud-native platform combines AI and automation for faster threat detection and resolution, but it's backed by human experts to ensure the best possible security results.

Last, Trellix has a broad cybersecurity offering that uses AI-powered tools to improve threat detection and response. The Trellix XDR Platform spans endpoint, cloud and network security, with ransomware protection, zero trust strategy adoption and SecOps modernization. The platform uses GenAI abilities to automate threat detection and response, so security analysts can focus on higher-level work.