Check Point CloudGuard WAF Pricing Overview

What I like best about Check Point CloudGuard WAF is its strong integration with cloud-native environments. It works seamlessly with our AWS deployment, and the automated protections help us stay ahead of evolving threats without constant manual tuning. The UI is intuitive, which makes managing policies and viewing logs much easier, even for team members who aren't deep into security. I also appreciate how responsive the threat intelligence updates are—there's a clear sense that we're being protected with real-time data. Overall, it gives us peace of mind knowing our web applications are secure without creating unnecessary complexity. Review collected by and hosted on G2.com.

While Check Point CloudGuard WAF is a solid solution overall, there are a few areas that could be improved. Occasionally, the initial configuration can be a bit time-consuming, especially for more complex environments. Also, while the documentation is helpful, some sections could benefit from a bit more clarity or real-world examples. That said, once everything is set up, the platform runs smoothly and delivers reliable protection. Review collected by and hosted on G2.com.

I greatly appreciate the machine learning engine of Check Point CloudGuard WAF for prevention, because it automates much of the complex work of rule management, drastically reducing false positives. I don't have to write custom rules from scratch and the policies adapt well to real traffic after the initial learning period. Additionally, I like the security policy updates that come from the cloud without me having to intervene manually. The preemptive bot protection is very effective, clearly distinguishing between good and malicious bots, and the automatic API discovery is convenient for mapping APIs and detecting unprotected endpoints. The unified console for policy management across different environments, cloud and on-prem, is very useful to avoid maintaining separate stacks. Review collected by and hosted on G2.com.

The management console could be improved; sometimes you have to click too many times to find specific information, and the logging system is not granular enough during troubleshooting. The documentation lacks concrete examples for real use cases, and more practical troubleshooting support would be helpful. Integration with Splunk requires writing custom parsing, and support for configuration as code has room for improvement. Review collected by and hosted on G2.com.