When Too Many Alerts Look the Same,
Real Threats Get Missed

Security and DevOps teams face a flood of telemetry data that buries real signals under noise, generating endless alerts that all look equally urgent. Without context, enrichment, or prioritization, teams waste time chasing false positives while real threats slip through unnoticed and investigations stall.

Surface Threats in the Stream, Before They Escalate

• Detect anomalies in-stream: Find unusual patterns before indexing them.
• Sentiment-prioritized alerts: Rank events that resemble known attack patterns.
• Summarize noisy events: Group common patterns into summaries to reduce clutter.
• Enrich data with threat intel and GeoIP: Add context for faster, precise queries.
• Route critical events in real time: Send directly to incident management tools.

From Alert Fatigue to Faster Incident Resolution

Observo AI helps analysts cut through the noise by identifying anomalies in real-time in the stream, enriching them with context, and scoring them for urgency—so your team can focus on the most critical threats. By separating out low-value alerts and elevating high-risk events, Observo AI enables faster triage, investigation, and response.

• Accelerate threat detection and response by 40%
• Reduce noisy, low-value data by 80% or more
• Lower false positives up to 90% with AI-powered sentiment analysis
• Improve SOC efficiency by 2x through prioritized alerting
• Surface critical events 3x faster with in-stream enrichment
• Boost query speed by 40-50% with leaner, more-focused data