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The latest News and Information on Log Management, Log Analytics and related technologies.

Protecting sensitive PII data with effective log management

Organizations rely heavily on logs or tracking changes, troubleshooting issues, and addressing authentication attempts. Although these logs are essential for ensuring a smooth onboarding experience, they often contain users' personally identifiable information (PII), including names, email addresses, phone numbers, and sometimes location or device details. The following sample log illustrates this scenario: 2025-11-01 09:12:33 ACCOUNT_CREATED - New user registered: Name: Michael Scott, Email.

Why we open-sourced AURA: Infrastructure for production AI

Over the last year, I’ve talked to dozens of SRE teams about AI. The excitement is real, but conversations hit a wall when we get to production reality. How does an agent manage complex context without losing the plot? How does it avoid hallucinating relationships between signals? Who owns the orchestration logic that ties it all together? We realized the bottleneck wasn’t model intelligence. It was the lack of a reliable logic layer between the data and the model.

System Datasets: From Alert Fatigue to Optimized Notifications

Alert fatigue rarely begins as a single mistake. It grows as systems scale, teams grow, and “just in case” monitoring becomes the default. A few extra alerts, another threshold, and soon the on-call channel becomes overwhelmed. Engineers get interrupted for noise or stop trusting pages; either way, real signals get missed. Reliability drops, and productivity quietly declines. Most teams respond tactically: tune thresholds, change notifications, suppress noise.

Tech Talk | Application management with Targeted Application Install for Victoria Experience

Apps create endless opportunities to leverage the strengths of the Splunk Cloud platform. Until now, you could only install Splunk apps across every search head on a Splunk Cloud Platform Victoria Experience deployment. With TAI you now have fine-grained control over which search head groups will run which apps.
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What is a Real-Time Data Lake?

A data lake is a centralized data repository where structured, semi-structured, and unstructured data from a variety of sources can be stored in their raw format. Data lakes help eliminate data silos by acting as a single landing zone for data from multiple sources. But what's the difference between a traditional data lake and a real-time data lake? Some traditional data lakes use batch processing, which involves processing and analyzing a collection of data that has been stored over a specific timeframe. For example, payroll and billing systems that are handled on a weekly or monthly basis might use batch processing.

Your Data is Whispering and Needs a Human to Listen

If you have ever owned, operated, or supported a piece of technology, you have probably built a dashboard. Maybe it started as a quick chart to answer a simple question, then quietly grew into something more important. Dashboards are often created by the people who know the systems best, the ones who can wire together data sources and click all the right buttons. But those same builders are rarely trained in how humans actually interpret data.

Talk to Your Logs: LLM-Powered Chat UI in DSDL 5.2.3

We are excited to announce the release of the Splunk App for Data Science and Deep Learning (DSDL) version 5.2.3. Since 2018, DSDL has served as an innovation hub for custom AI integrations within Splunk. In 2025, the release of DSDL 5.2.0 introduced customizable Large Language Model (LLM) integrations, bringing Retrieval Augmented Generation (RAG) and Agentic AI workflows to Splunk users.

AI can do what now?! What an ethical hacker says about deepfakes and AI

Real-time camera deepfakes are no longer science fiction. High-fidelity, AI-generated impersonation may be advancing quickly — but that's not the only AI risk financial services companies should be thinking about. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, sits down with ethical hacker Freakyclown (FC) to explore what is technically possible today with AI, where reality still falls short of the hype, and what security teams should be worried about.

AI can do what now?! The real risks of AI in social engineering

What is the most immediate risk financial services companies face today? AI-enabled social engineering is already accelerating real-world attacks. Scale, personalization, speed, and automation are lowering the barrier for attackers while making fraud detection more complex for defenders. In this episode of AI Can Do What Now?!, Lisa Jones-Huff, director of security solutions architecture at Elastic, is joined by ethical hacker Freakyclown (FC), and principle solutions architect Joe Murin to explore what is actually happening right now — beyond the hype.