Operations | Monitoring | ITSM | DevOps | Cloud

Security teams are increasingly realizing that yesterday’s SIEMs weren’t built for today’s world. Legacy platforms were designed for static, on-prem environments where data sources were relatively predictable and volumes were manageable. But the shift to cloud, SaaS, and dynamic workloads has completely changed the equation. Cloud-friendly, flexible, and cost-conscious SIEMs are now table stakes.

Modern security operations are drowning in data but starving for intelligence. Organizations process terabytes of raw telemetry daily from a wide variety of sources, including firewalls, endpoints, and cloud services, yet 80-90% lacks the contextual intelligence needed for effective threat detection and response. This torrent of data creates a major challenge for Security Operations Centers (SOCs).

Security teams are no longer just reacting to alerts, they're conducting deep, forensic-style investigations to uncover sophisticated threats that unfold over months or even years.

Today's announcement that Observo AI is joining SentinelOne isn't just about combining two companies. It's about accelerating a fundamental transformation in how security operations work—moving from reactive, manual processes to truly autonomous defense. The vision is bold: security operations that think, adapt, and respond faster than any human team could alone. But that future requires rethinking security data from the ground up.