Observo’s new AI-native data pipelines reduce noisy telemetry by 70%

A new AI-powered platform from Observo AI significantly reduces enterprise telemetry data noise while improving security incident response times.

The core innovation: Observo AI has developed an AI-native data pipeline platform that automatically filters and routes telemetry data (logs, metrics, and traces) to optimize enterprise security operations.

• The platform uses machine learning to analyze incoming data streams and identify critical signals for incident detection
• Early customers report 70% reduction in noisy telemetry data and 40% faster incident response times
• The solution adapts automatically to new threats without requiring manual rule updates

Market context: Enterprise systems are generating unprecedented volumes of operational data, creating significant challenges for security teams.

• Nearly 50% of enterprises have experienced security breaches partly due to poor data quality and false alerts
• Traditional rule-based filtering systems struggle to scale with increasing data volumes
• The global observability tools market is projected to grow from $2.4 billion in 2023 to $4.1 billion by 2028

Customer impact: Observo AI has demonstrated significant results across various industries.

• A North American hospital reduced log volume by 78% while maintaining critical security coverage
• The hospital also cut Azure Sentinel SIEM costs by 50% and improved incident resolution time by 35%
• A global data and AI company decreased log volumes by 70% and reduced Elasticsearch costs by 40%

Competitive advantage: The platform differentiates itself through advanced AI capabilities and superior optimization rates.

• Observo AI achieves 60-70% noise reduction compared to competitors’ 20-30%
• The platform has already displaced rival Cribl at several enterprises
• The company has attracted major customers including Informatica, Bill.com, Alteryx, and Rubrik

Strategic roadmap: Initial success is driving expansion plans focused on product enhancement and market growth.

• The company plans to add more AI capabilities, anomaly detection, and data policy features
• Development of additional source and destination connectors is underway
• Go-to-market efforts will target competition with established players like Splunk and DataDog

Looking beyond the hype: While Observo AI’s early results are promising, the true test will be maintaining effectiveness as data volumes continue to grow and threat landscapes evolve. The company’s ability to scale its AI capabilities while keeping false negative rates low will be crucial for long-term success in the competitive observability market.