Operations | Monitoring | ITSM | DevOps | Cloud

Security teams love the power of Google SecOps (formerly Chronicle)—fast detection, scalable infrastructure, and native integration across Google Cloud. But there’s a challenge most organizations still struggle with: the cost, complexity, and chaos of raw telemetry data. Security data doubles every 2-3 years. Without control and context, even the best SIEM platforms can be overwhelmed with noise. That’s where Observo AI comes in.

When it comes to security operations, speed is everything. The faster a team can detect, investigate, and respond to an incident, the more likely they are to prevent impact and contain risk. But accelerating Mean Time to Resolution (MTTR) requires more than faster alerts or streamlined dashboards—it demands a shift in how organizations think about their data. Smart security teams are rethinking the entire telemetry lifecycle.

As CEO of Observo AI, I've spent countless hours with CISOs and security leaders discussing their most pressing challenges. The conversations always circle back to the same fundamental problem: security teams are drowning in data they can't afford to ignore but can't afford to process. Today's announcement of our strategic partnership with GuidePoint Security represents more than just another vendor alliance.

Splunk is the backbone of security analytics for many of the world’s most advanced enterprises. Its ability to unify, correlate, and analyze massive volumes of telemetry data has made it the platform of choice for SOC teams worldwide. But as security data grows exponentially in volume and complexity, many organizations face a different challenge: getting the right data into Splunk, in the right shape, without straining infrastructure resources or missing critical signals.

Cyber threats are growing more cunning every day, with attackers even tapping into artificial intelligence to outsmart traditional defenses. Organizations face a flood of security data—logs, alerts, and telemetry—making it nearly impossible to sift through. How do you spot the real dangers amid all that noise? Observo AI’s ML-Powered Threat Insights offers a game-changing answer.

As security and DevOps teams grapple with rising telemetry volumes and ballooning tool costs, they’re increasingly forced into tradeoffs: index less, ingest less, search less. That might save money in the short term—but it comes at the cost of impairing long-term visibility, historical investigation, and strategic clarity. Traditional search tools are built around precision. They’re useful when you know what you’re looking for—but far less helpful when you don’t.

When we talk to security leaders, the theme is almost always the same: “How do we keep up with explosive telemetry growth without blowing our budget—or compromising visibility?” That’s exactly what BILL, a leader in financial operations software, was grappling with.