Architecting an AI-ready telemetry foundation with Cribl and AWS

The challenge

AI-driven operations depend on quality signals from across the enterprise, yet the data is often spread across storage tiers and disconnected analytics tools. Sending every envent to hot storage creates unsustainable ingestion and retention costs. At the same time, data that remains distributed across existing stores can be difficult to access during investigations.

AI telemetry demands rigorous governance. To maintain security and efficiency, teams require deep visibility into model utilization, token consumption prompts, and responses, execution traces and tool calls. Without a unified data strategy to distill raw telemetry into actionable signals, organizations risk feeding incomplete or noisy data to analysts and AI agents while exposing sensitive information to unauthorized systems.

The solution

Cribl, the AI platform for telemetry, and AWS enable organizations to build a unified telemetry data strategy across cloud and hybrid environments.

Cribl serves at the central control plane, enforcing consistent policies before data reaches downstream services or AI models. AWS provides modern data infrastructure for immediate analysis and cost-effective retention.

Teams can determine which telemetry requires immediate analysis and which data can remain in lower-cost storage. This gives analysts and AI agents access to relevant, governed information while preserving flexibility and significantly reducing infrastructure costs as operational needs evolve.

A unified telemetry data strategy

What AI-ready telemetry enables for IT and Security teams

Maximize signal fidelity for the AI-ready SOC
Rather than just managing ingestion, Cribl optimizes the value of your telemetry. By filtering redundant entries and eliminating low-value fields before delivery, Cribl significantly improves the signal-to-noise ratio. This ensures that detection systems and AI workflows receive only high-context, high-fidelity data, empowering blue teams to build sharper, more accurate detections without the friction of unstructured noise.

Accelerate threat hunting and incident response
Cribl Search empowers blue teams and automated SOC workflows to query live and historical telemetry in place without the delay of routing it into an analytics platform. Analysts and AI agents can seamlessly pivot from an initial detection directly to the underlying evidence, drastically reducing mean time to investigate (MTTI) and accelerating the entire incident response lifecycle.

Gain control and visibility over AI workflows
As SOCs integrate more agentic workflows, Cribl provides complete visibility into AI telemetry, including model utilization, token metrics, and tool-call activity. Security teams can rapidly correlate AI session data with security findings, ensuring that autonomous tools operate securely, predictably, and efficiently as the organization scales its AI capabilities.

Strengthen governance for Zero Trust operations
Confidently feed AI models and downstream detection engines the exact telemetry they need to generate value without risking noncompliance. Cribl automatically masks, hashes, or redacts PII and sensitive data before downstream delivery. By enforcing consistent, centralized routing policies, teams ensure precise control over which data reaches each destination, fully supporting Zero Trust principles.

The capabilities behind the strategy

• Cribl Stream filters, transforms, protects, and routes telemetry before delivery.

• Cribl Search queries data in place across supported data stores for faster investigations.

• Cribl Lake retains full-fidelity telemetry for cost-effective search and long-term access.

• Cribl App for AI Security Telemetry provides visibility into AI usage and cost, with tools for investigating security findings and model activity.

• AWS Cloud Connections uses a read-only scan to discover eligible AWS sources and guide onboarding.

• AWS PrivateLink for Cribl.Cloud provides private connectivity to supported Cribl Stream Worker Groups and the Cribl.Cloud Leader without traversing the public internet.