Empower your observability strategy with AI that adapts to your infrastructure, simplifies operations, and enables faster, data-driven decisions.
Artificial Intelligence (AI) is transforming how organizations manage observability, data pipelines, and infrastructure at scale. Within Cribl’s suite of products, AI is applied to solve real-world operational challenges—automating data routing, accelerating root cause analysis, detecting anomalies, and optimizing system performance across complex environments. Cribl’s AI-driven capabilities are purpose-built for modern data stacks, helping teams reduce manual effort, improve visibility, and make faster, smarter decisions with their data.
You don’t often see real change, but As Dewey Wilkerson said, "The future is now, old man"—and today that means AI. Artificial Intelligence/Machine Learning tool sets like ChatGPT are offering broad capabilities that will enable and benefit all.
Your enterprise’s business goals include strong security, high-service stability, and increased customer experience. To understand how you’re meeting those goals, you must collect and analyze data correlated with your desired outcomes.
AI can assist by solving a multitude of problems in IT, ranging from automating routine tasks and enhancing cybersecurity to optimizing IT operations and providing valuable data-driven insights. AI excels at data analysis, predictive maintenance, and fraud detection, improving efficiency and reducing costs. Additionally, AI can assist in customer support, software development, and IT infrastructure management.
Sensitive Data Identification: AI can proactively identify and protect sensitive data within platforms, ensuring compliance with security standards and reducing the risk of data breaches.
Anomaly Detection and Monitoring: AI can continuously monitor system activity for anomalies, such as unusual patterns in cloud event logs or unauthorized file changes. This proactive detection helps identify potential security threats before they escalate.
SIEM Optimization: AI can help manage SIEM costs by analyzing and selectively dropping specific events to control events-per-second (EPS) growth. For example, Cribl Stream can filter out unnecessary events while maintaining compliance with expected data formats like LEEF.
Real-Time Pipeline Monitoring:AI can monitor the real-time status of data pipelines, including metrics like data throughput, error rates, and processing delays. This helps ensure smooth data flow and quick identification of bottlenecks or anomalies.
Performance Tuning and Resource Utilization Tracking: AI can analyze system resource utilization (CPU, memory, network bandwidth) to predict future needs and optimize pipeline configurations for better performance.
Infrastructure Monitoring: AI can enhance infrastructure monitoring by collecting and processing observability data in real time. For example, Cribl Edge can integrate with visualization tools like Grafana to display system metrics and identify issues faster.
Dynamic Resource Allocation in Kubernetes: AI can optimize resource allocation in Kubernetes environments by managing auto-scaling policies. It can predict traffic spikes and adjust pod scaling to handle fluctuations in data volume, minimizing disruptions and improving system performance.
Failure Planning and Risk Mitigation: AI can analyze failure scenarios and recommend contingency plans to balance cost versus risk. For example, it can help determine the level of resources needed to achieve desired reliability levels in system deployments.
Optimizing Distributed Deployments: AI can assist in architecting distributed deployments by analyzing data flow, resource utilization, and failure scenarios. For example, Cribl Stream uses distributed deployment architectures with multiple Worker Nodes to ensure scalability and reliability, reducing the risk of data loss during outages or maintenance.
AI-powered Cribl Copilot accelerates your productivity, activates the afterburners of your team’s efficiency, eliminates pilot error by closing the skills gap, and gives you a smooth landing of value with your Cribl Stream, Edge, Search, and Lake investment. It’s the fastest and easiest way to make the value of your Cribl data engine soar.
Artificial Intelligence is a means to provide solutions that are customer-focused (it's the “how” of what Cribl provides, not the “what” it provides).Cribl Copilot speeds time to value, bridges the skills gap and enhances team productivity. By eliminating the time-consuming and costly requirement to employ highly skilled engineers for basic tasks, Copilot allows you to use ordinary language, or natural language, to get answers to product questions, perform advanced searches, create Pipelines, and more. These AI-augmented capabilities empower IT and security teams to do more and in less time.
Cribl Copilot provides real-time assistance and answers to questions that are solvable by experienced Cribl operators but would take longer for less experienced teams, as they spend time looking up the answers, trial-and-error on queries, learning query languages, deep expertise in every tool under the sun, etc.
Cribl Copilot Editor is a powerful, intent- aware tool that understands the structure and semantics of diverse telemetry data and guide users, in creating and editing pipelines or map raw data to industry- standard schemas like OCSF and more, all without requiring any specialized expertise.
Cribl Copilot translates you natural-language queries or even other vendors query languages into Cribl Search Kusto Query Language (KQL) for faster analysis. Copilot then automatically recommends visualizations, helping users to create custom chart and dashboards to meet individual or teams needs.Additionally it will recommend new dashboard panels. for better data visability.
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