The best features UnderDefense offers include mostly triage in-context signals read together across my stack, where one finding replaces many separate checks. A good thing too is its false positive suppression, as I do not get false notifications. Normal activity such as traffic spikes during customer events is recognized and documented, and only the unusual cases reach me. It has full-time support 24/7 with proactive reports, and monitoring runs around the clock. Reports and alerts come to me without even noticing or asking, so it is very useful. My team sees what happened without having to chase it. I find the proactive reporting and 24/7 support to have definitely made a real difference. Proactive reports mean I hear about what happened without having to ask, so I know the state of things at the start of the day, and 24/7 support matters most for traffic spikes and other events outside busy working hours, as I get an answer when I need one without keeping someone on call just in case, saving me a lot of time. Together, they let my team stay on infrastructure work and step in only when a decision is needed. Regarding UnderDefense's AI capabilities, I think the governance and security is the best there is, as the decisions that matter stay with my team and each finding is documented, allowing me to review afterwards how a conclusion was reached. That control and traceability is what I need from AI in a security role. The accuracy and reliability of UnderDefense's AI output is accurate and steady, as findings have matched what I saw when I checked them, and the pattern assessments are consistent, especially during large traffic events or spikes, which is when I depend on them most. When a case needs judgment, the reasoning is there so I can confirm it myself.
