For a cloud security platform that offers real-time threat detection and response in hybrid and multi-cloud environments, Prisma Cloud is a top contender. It offers end-to-end protection from code to runtime with Precision AI that spots and halts threats in real time. Prisma Cloud monitors and controls hosts, containers, Kubernetes and serverless functions in major public clouds. It scores risk with AI and offers guided investigations and response, too, so it's a good option for hybrid and multi-cloud environments.
Another top contender is Spyderbat, which uses eBPF technology to monitor and block threats in real time. It offers immediate visualization of runtime application behavior and automatic event recording for root cause analysis. Spyderbat can be used for a variety of use cases, including cloud detection and response, runtime security for Kubernetes and cloud, and multi-cloud security. Its pay-as-you-go pricing and tiered plans make it suitable for a range of organizational needs.
Vectra AI also offers strong real-time threat detection and response. It uses AI-powered Attack Signal Intelligence to continuously monitor for threats across hybrid cloud environments, including public cloud, SaaS, identity, network and endpoint security. Vectra AI cuts through alert noise and covers more than 90% of hybrid cloud MITRE ATT&CK techniques, so it's a good option for security teams trying to get ahead of the threat detection and response game.
Last, Palo Alto Networks offers a cybersecurity platform that's built on Zero Trust principles. It includes features like Precision AI for spotting AI-generated threats, a unified Network Security Platform and Cloud Security that protects applications from code to cloud. Palo Alto Networks offers threat intelligence and incident response services, too, so it's a good option for hybrid and multi-cloud environments.