Mick Baccio, global security advisor at Splunk SURGe and Cisco Foundation AI, reveals how the experience of running cyber on a dime for a US presidential campaign has informed how he does security, ...
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
Frontier Enterprise on MSN
Ford revs up AI transformation with Splunk
Ford applies AI and large-scale data analysis across manufacturing operations through its long-running work with Splunk. The ...
Ripple partners with AWS Bedrock AI to speed up XRPL log analysis, cutting process time from days to minutes for better network efficiency. Ripple is testing Amazon Web Services’ (AWS) Amazon Bedrock ...
Project consists of Ingest and interpret custom log data in Splunk Create and apply custom field extractions Use Search Processing Language (SPL) to filter and refine search results Conduct an ...
Logs play a critical role in recording system behavior. The increasing volume of log data from software-intensive systems requires automated analysis. Researchers have proposed several approaches to ...
Introduction: Log data analysis is a core competency in cybersecurity education, essential for investigating cyberattacks and identifying their root causes. However, teaching and learning this skill ...
ThreatScope is a cybersecurity monitoring exercise that demonstrates how Splunk can be used as a Security Information and Event Management (SIEM) tool to identify and correlate Indicators of ...
Editorial Note: Talk Android may contain affiliate links on some articles. If you make a purchase through these links, we will earn a commission at no extra cost to you. Learn more. As an SEO ...
New Logs capabilities provide automated, AI-strengthened analysis to accelerate mean time to resolution and incident response Businesses shift burden of analysis from SREs to AI, transforming “needle ...
5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?
When former OpenAI safety researcher Stephen Adler read the New York Times story about Allan Brooks, a Canadian father who had been slowly driven into delusions by obsessive conversations with ChatGPT ...
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