If I want to mention anything related to Sumo Logic Security, I would say that with the current AI situation, AI enrichments should be very well integrated. I saw something in insights that it is doing something around 14 days of correlation, but I would prefer something around seven days would be better. Sometimes we see alerts coming from a different time frame. In some places, correlation could be much better in Sumo Logic. There is a scenario where we see five to six employees from the company log in from the same IP address, which is a shared IP address. Maybe one employee has login failures, perhaps because they forgot their password. In this situation, Sumo Logic gives us an alert saying that a brute-force alert was detected or a credential compromise was detected, stating that five people have successful logins and one user has a bad password. This is not practically correct detection. They should be doing some kind of better analysis, such as a historical analysis of this IP, to make it clear that this IP is a shared IP, so the logins that happened for all other users are normal. Sumo Logic has the capability as a modern SOC to include behavior correlation or attack chain visibility, which would be a great addition to reduce false positives. Good dashboards with AI capabilities would also be more helpful. Since our product is also AI-based, something where they can focus more on AI with the possibility of detection engineering, writing custom correlation rules, and tuning detections to make more valid true positives would be beneficial. I have experienced some situations where false positives occurred. There can be more improvement in MITRE ATT&CK mapping, especially, as it helps us measure coverage gaps and where we are positioned. Beyond that, SOAR capabilities with automation focus should include more enrichments into the detection part and provide higher levels of true positives overall. When I compare Sumo Logic Security with other solutions like Splunk, Azure Sentinel, or Sentinel One, these are improvements I would expect to see. Automation should be improved further. As we move to AI SOC, there is talk of automated multi-step response workflows where playbooks should be enriched for logs of different activities based on IP, user, user agent, or other fields. More advanced playbook-based correlation should be coming up with a set of rules that can help detect real true positives. Rich incident response playbooks and better integrations with ticketing tools would be beneficial so that we can take quick actions if a breach has been identified. Advanced attack path visualizations would be helpful. Creating a good attack graph showing when something has been detected, how quickly it has been investigated, what the timeline of all these activities was, and including entities such as user, host, network, cloud, or indicators of compromise would be valuable. Built-in threat group playbooks would be very helpful, whether for ransomware, account compromise, or data exfiltration. AI-driven threat insights at the automated flow of investigation would be more helpful. Sumo Logic Security is very good at role-based access controls, and we were able to manage that very well without any issues. Advanced attack path visualizations and built-in threat group playbooks for ransomware, account compromise, or data exfiltration scenarios would enhance the platform significantly.