Observo.ai - AI-Powered Observability

Observo AI - The AI Data Pipeline for Security and DevOps

Observo AI provides a comprehensive data pipeline designed to accelerate threat detection, incident response, and observability while controlling data costs. It offers modular products for data collection, transformation, enrichment, and intelligent routing across security and DevOps telemetry, with a focus on reducing data volume, improving analytics, and cutting costs.

Key offerings include:

• Observo AI Data Pipeline
• Observo Orion AI
• Observo Query
• Observo Data Lake
• Observo Edge Collector
• Observo AI Integrations

How it works:

• Integrate telemetry from 90+ sources and destinations.
• Use AI-driven data optimization, anomaly detection in the ingest stream, and smart routing to route data where it has the most value.
• Normalize, enrich, and deduplicate data to improve searchability and reduce processing and storage costs.
• Leverage a low-cost data lake approach with built-in OCSF support for easy analysis.
• Benefit from ready-made use cases and case studies to accelerate deployment and value realization.

Business outcomes include faster threat detection and incident resolution, lower total cost of observability, reduced data volumes, and improved data governance and compliance.

How to Use Observo AI

1. Connect sources and destinations via the Integrations layer.
2. Apply transformations and routing rules to optimize data flow.
3. Ingest and store data in a scalable, cost-efficient data lake.
4. Leverage AI-driven features for anomaly detection, data enrichment, and alert optimization.
5. Analyze and act on insights to enhance SOC and DevOps workflows.

Use Cases

• AI-driven data pipelines for Security and DevOps
• Anomaly detection before indexing to reduce data volumes
• Data enrichment for faster searches and reduced alert fatigue
• Compliance-ready data handling with sensitive data discovery

Platform Capabilities

• AI-powered data optimization and reduction (e.g., significant log volume cuts and cost savings)
• Anomaly detection to accelerate MTTR reductions
• Smart routing to avoid vendor lock-in and maximize data value
• Searchable, low-cost data lake with scalable storage
• Broad integrations with 90+ sources/destinations

Safety and Best Practices

• Use AI-enhanced pipelines to optimize telemetry while maintaining data governance and compliance.

Core Features

• AI-driven data pipeline for security and DevOps
• Ingest, transform, enrich, and route telemetry data
• Anomaly detection in the ingest stream
• Data normalization and cost optimization
• Built-in OCSF support for easy analytics
• Data lake with scalable, low-cost storage
• 90+ integrations and flexible routing
• Rapid deployment with reference use cases and customer testimonials
• Privacy-conscious data handling with governance controls