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Splunk Names New CEO

Splunk announced that Gary Steele has been appointed Chief Executive Officer of Splunk, and as a member of the company’s Board of Directors, effective April 11, 2022.

Steele is a highly regarded technology executive with over 30 years of experience and a proven track record of successfully scaling SaaS operations and growing multi-billion dollar global enterprises. Steele was the founding CEO of Proofpoint, and over the past two decades, he led the company’s growth from an early-stage start-up to a leading, publicly traded security-as-a-service provider to some of the world's best known organizations. As a public company, Proofpoint had a long history of strong growth combined with compelling free cash flow. Prior to Proofpoint, Steele was CEO of Portera and held various leadership roles at Sybase, Sun Microsystems and Hewlett-Packard.

“Gary is a visionary leader whose software and cybersecurity expertise, deep understanding of SaaS and recurring revenue models, and unwavering commitment to driving innovation and customer success on a global scale will be invaluable to Splunk on our path to $5 billion and beyond,” said Graham Smith, Interim CEO and Chair of Splunk. “We’re thrilled to welcome Gary to the Splunk team, and look forward to working with him to further scale the business and extend the value we provide our customers and partners.”

“Splunk has built one of the most respected brands in tech and is at the forefront of security and observability. I’m honored to join the company at such an important moment – for both Splunk and the industry,” said Steele. “I’ve dedicated my career to helping companies around the world safeguard their data, systems and infrastructure, and know firsthand how critical Splunk’s products and solutions have become to customers as they navigate hybrid, multi-cloud environments with increasingly complex attacks and threat actors. Splunk is executing against a tremendous opportunity, and I look forward to working with the team to ensure the business reaches its full potential.”

Steele continued, “Splunk has incredible talent and an innovative and customer-centric ethos. I can’t wait to get started and earn the right to call myself a Splunker.”

In connection with this announcement, Graham Smith, who has served as Interim CEO since November 2021, will return to his role as Chair of the Splunk Board when Steele joins the company.

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Splunk Names New CEO

Splunk announced that Gary Steele has been appointed Chief Executive Officer of Splunk, and as a member of the company’s Board of Directors, effective April 11, 2022.

Steele is a highly regarded technology executive with over 30 years of experience and a proven track record of successfully scaling SaaS operations and growing multi-billion dollar global enterprises. Steele was the founding CEO of Proofpoint, and over the past two decades, he led the company’s growth from an early-stage start-up to a leading, publicly traded security-as-a-service provider to some of the world's best known organizations. As a public company, Proofpoint had a long history of strong growth combined with compelling free cash flow. Prior to Proofpoint, Steele was CEO of Portera and held various leadership roles at Sybase, Sun Microsystems and Hewlett-Packard.

“Gary is a visionary leader whose software and cybersecurity expertise, deep understanding of SaaS and recurring revenue models, and unwavering commitment to driving innovation and customer success on a global scale will be invaluable to Splunk on our path to $5 billion and beyond,” said Graham Smith, Interim CEO and Chair of Splunk. “We’re thrilled to welcome Gary to the Splunk team, and look forward to working with him to further scale the business and extend the value we provide our customers and partners.”

“Splunk has built one of the most respected brands in tech and is at the forefront of security and observability. I’m honored to join the company at such an important moment – for both Splunk and the industry,” said Steele. “I’ve dedicated my career to helping companies around the world safeguard their data, systems and infrastructure, and know firsthand how critical Splunk’s products and solutions have become to customers as they navigate hybrid, multi-cloud environments with increasingly complex attacks and threat actors. Splunk is executing against a tremendous opportunity, and I look forward to working with the team to ensure the business reaches its full potential.”

Steele continued, “Splunk has incredible talent and an innovative and customer-centric ethos. I can’t wait to get started and earn the right to call myself a Splunker.”

In connection with this announcement, Graham Smith, who has served as Interim CEO since November 2021, will return to his role as Chair of the Splunk Board when Steele joins the company.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...