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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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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.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...