Operations | Monitoring | ITSM | DevOps | Cloud

How AI-Native Pipelines Reduce 80% of Noisy Data for Lower Costs and Better Security

Security data is exploding. Most organizations see their telemetry volumes double every two to three years, driven by cloud adoption, distributed architectures, and an expanding attack surface. Yet only a small percentage of that data contains real indicators of compromise. Analysts estimate that nearly 80 percent of SIEM and observability logs have little or no analytical value.

How AI-Native Data Pipelines Accelerate Threat Hunting

Every security incident starts as a small signal: an unusual connection, a mistyped command, or a subtle change in behavior. The challenge is that most of these signals are buried in mountains of noise. Modern SOCs process terabytes of telemetry each day, but only a fraction contains real indicators of compromise. Without intelligent detection and prioritization, valuable warning signs get lost in the flood of low-value events.

Get Better Data into Your SIEM - Data Onboarding

‍The Advantages of Onboarding a Wide Range of Security Data Sources Security teams know that better visibility comes from better data. Yet most organizations are forced to make trade-offs. They either limit the number of sources they bring in to control costs, or they accept ballooning ingestion bills for data that’s 80% noise. Neither approach sets the SOC up for success.