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Splunk Introduces Advanced AI Enhancements for Observability, Security and IT Service Intelligence

Splunk introduced a collection of AI tools across its product portfolio to enable organizations to speed up routine tasks and enhance their ability to get insights from data fast.

Splunk’s generative AI-powered Assistants can help every user become a security and observability expert.

Splunk has expanded its AI capabilities with new generative AI assistants in Observability Cloud and Security, providing customers with improved IT visibility and enhanced proactive threat mitigation capabilities. Additionally, the company has made its Splunk AI Assistant for SPL generally available, helping customers derive insights from Splunk using natural language. Moreover, Splunk unveiled new AI capabilities for IT Service Intelligence (ITSI), including Configuration Assistant, aimed at streamlining configuration processes and optimizing operational efficiency, along with Drift Detection for KPIs and entity-level Adaptive Thresholds for more accurate detection.

“AI is the cornerstone of Splunk’s strategy for driving enhancements with our industry-leading security and observability solutions,” said Hao Yang, VP, Head of AI at Splunk. “Our AI Assistants are designed to help users do their jobs easier and faster. We are currently adding generative AI tools to our product portfolio to accelerate detection, investigation and response workflows. Looking ahead, we aim to further refine the integration of advanced AI technologies, and continue to deliver more reliable and more secure IT outcomes for our customers.”

The AI Assistant in Observability Cloud introduces a generative AI-powered feature designed to streamline detection, exploration and investigation for engineering teams, with a natural language interface. By analyzing metrics, traces and logs, the AI Assistant helps enable software developers and Site Reliability Engineers (SREs) to quickly extract valuable insights, accelerating their day-to-day tasks, root cause analysis and issue resolution. This removes barriers and reduces expertise required to solve problems, making troubleshooting and data exploration journeys more accessible, and increasing operational efficiency.

Splunk also unveiled the AI Assistant in Security. Designed to expedite security analysts’ investigations and daily workflows by leveraging generative AI capabilities, this assistant streamlines the investigative process with analyst guidance and summarizes incident data. Offering AI-assisted security workflow guidance and generating security-specific Splunk Search Processing Language (SPL) accelerates investigations and response times, empowering analysts to fortify defenses against evolving threats with simplified processes and enhanced efficiency.

Splunk AI Assistant for SPL helps customers interact with Splunk’s data analytics platform using natural language, bridging the gap between human intuition and machine-driven analytics. This innovative tool allows analysts to execute complex analysis using natural language, understand existing Splunk Processing Language (SPL) queries with step-by-step explanations and search through product documentation to answer how-to questions.

By translating between natural language and SPL queries, Splunk AI Assistant improves analyst productivity and decision-making effectiveness. It further empowers organizations to optimize data analysis and incident response, positioning them to thrive in today’s data-driven world.

“We are integrating AI capabilities (assistants) into our solutions,” said Bongsu Cho, VP of AI & Big Data Division at LG Electronics. “More than ever before, it’s a competitive advantage to quickly and efficiently gain critical insights from your data which significantly enhances operational efficiency and proactive threat mitigation, ensuring robust digital resilience. A strategic AI approach across solutions ultimately drives innovation and strengthens business continuity in an increasingly complex digital landscape."

Splunk recently introduced a Configuration Assistant to its IT Service Intelligence (ITSI) solution, which leverages advanced AI and machine learning capabilities to manage and optimize configurations, proactively surfacing insights into the health of ITSI knowledge objects, such as KPIs, services, and entities. It provides a centralized console that helps IT administrators maintain accurate alerting by providing insights into outdated threshold models and optimizing those with a guided remediation, giving them a more accurate view of their IT health and reducing false positive alerts.

Splunk also added two new features as part of ITSI: Drift Detection for KPIs and entity-level Adaptive Thresholds. Drift Detection for KPIs helps users spot potential issues early by showing KPIs that exhibit gradual changes or sudden deviations from normal patterns. Additionally, Splunk’s entity-level Adaptive Thresholds allows users to create dynamic baselines at an entity level, and generate alerts if they behave abnormally. Both features are in public preview.

The AI Assistant in Observability Cloud is now in private preview.

The AI Assistant in Security will become available in private preview in August 2024.

Splunk AI Assistant for SPL is now generally available to Splunk Cloud Platform customers with AWS globally.

IT Service Intelligence (ITSI) and its Configuration Assistant feature are generally available, with Drift Detection for KPIs and entity-level Adaptive Thresholds in public preview.

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Splunk Introduces Advanced AI Enhancements for Observability, Security and IT Service Intelligence

Splunk introduced a collection of AI tools across its product portfolio to enable organizations to speed up routine tasks and enhance their ability to get insights from data fast.

Splunk’s generative AI-powered Assistants can help every user become a security and observability expert.

Splunk has expanded its AI capabilities with new generative AI assistants in Observability Cloud and Security, providing customers with improved IT visibility and enhanced proactive threat mitigation capabilities. Additionally, the company has made its Splunk AI Assistant for SPL generally available, helping customers derive insights from Splunk using natural language. Moreover, Splunk unveiled new AI capabilities for IT Service Intelligence (ITSI), including Configuration Assistant, aimed at streamlining configuration processes and optimizing operational efficiency, along with Drift Detection for KPIs and entity-level Adaptive Thresholds for more accurate detection.

“AI is the cornerstone of Splunk’s strategy for driving enhancements with our industry-leading security and observability solutions,” said Hao Yang, VP, Head of AI at Splunk. “Our AI Assistants are designed to help users do their jobs easier and faster. We are currently adding generative AI tools to our product portfolio to accelerate detection, investigation and response workflows. Looking ahead, we aim to further refine the integration of advanced AI technologies, and continue to deliver more reliable and more secure IT outcomes for our customers.”

The AI Assistant in Observability Cloud introduces a generative AI-powered feature designed to streamline detection, exploration and investigation for engineering teams, with a natural language interface. By analyzing metrics, traces and logs, the AI Assistant helps enable software developers and Site Reliability Engineers (SREs) to quickly extract valuable insights, accelerating their day-to-day tasks, root cause analysis and issue resolution. This removes barriers and reduces expertise required to solve problems, making troubleshooting and data exploration journeys more accessible, and increasing operational efficiency.

Splunk also unveiled the AI Assistant in Security. Designed to expedite security analysts’ investigations and daily workflows by leveraging generative AI capabilities, this assistant streamlines the investigative process with analyst guidance and summarizes incident data. Offering AI-assisted security workflow guidance and generating security-specific Splunk Search Processing Language (SPL) accelerates investigations and response times, empowering analysts to fortify defenses against evolving threats with simplified processes and enhanced efficiency.

Splunk AI Assistant for SPL helps customers interact with Splunk’s data analytics platform using natural language, bridging the gap between human intuition and machine-driven analytics. This innovative tool allows analysts to execute complex analysis using natural language, understand existing Splunk Processing Language (SPL) queries with step-by-step explanations and search through product documentation to answer how-to questions.

By translating between natural language and SPL queries, Splunk AI Assistant improves analyst productivity and decision-making effectiveness. It further empowers organizations to optimize data analysis and incident response, positioning them to thrive in today’s data-driven world.

“We are integrating AI capabilities (assistants) into our solutions,” said Bongsu Cho, VP of AI & Big Data Division at LG Electronics. “More than ever before, it’s a competitive advantage to quickly and efficiently gain critical insights from your data which significantly enhances operational efficiency and proactive threat mitigation, ensuring robust digital resilience. A strategic AI approach across solutions ultimately drives innovation and strengthens business continuity in an increasingly complex digital landscape."

Splunk recently introduced a Configuration Assistant to its IT Service Intelligence (ITSI) solution, which leverages advanced AI and machine learning capabilities to manage and optimize configurations, proactively surfacing insights into the health of ITSI knowledge objects, such as KPIs, services, and entities. It provides a centralized console that helps IT administrators maintain accurate alerting by providing insights into outdated threshold models and optimizing those with a guided remediation, giving them a more accurate view of their IT health and reducing false positive alerts.

Splunk also added two new features as part of ITSI: Drift Detection for KPIs and entity-level Adaptive Thresholds. Drift Detection for KPIs helps users spot potential issues early by showing KPIs that exhibit gradual changes or sudden deviations from normal patterns. Additionally, Splunk’s entity-level Adaptive Thresholds allows users to create dynamic baselines at an entity level, and generate alerts if they behave abnormally. Both features are in public preview.

The AI Assistant in Observability Cloud is now in private preview.

The AI Assistant in Security will become available in private preview in August 2024.

Splunk AI Assistant for SPL is now generally available to Splunk Cloud Platform customers with AWS globally.

IT Service Intelligence (ITSI) and its Configuration Assistant feature are generally available, with Drift Detection for KPIs and entity-level Adaptive Thresholds in public preview.

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Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 3 covers AI's impact on employees and their roles ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 2 covers the challenges presented by AI, as well as solutions to those problems ...

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

Image
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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...