Cisco’s Mission – Don’t Mess Up Splunk

Cisco’s Mission - Don’t Mess Up Splunk

The News: At .conf24, Splunk unveiled advanced AI enhancements aimed at improving observability, security, and IT Service Intelligence. These new features are designed to streamline operations, enhance threat mitigation, and boost IT visibility for organizations. Read the announcement here.

Cisco’s Mission – Don’t Mess Up Splunk

Analyst Take: The tech world has been buzzing since Cisco completed its acquisition of Splunk just 10 weeks ago. This strategic move has been widely discussed among industry analysts and stakeholders, given its potential to reshape the landscape of cybersecurity and observability. Cisco, known for its robust networking and security solutions, has now significantly bolstered its portfolio by incorporating Splunk’s powerful data analytics and observability capabilities.

During the announcement on the main stage at Cisco’s recent event, Chuck Robbins, the CEO of Cisco, addressed a packed audience, stating emphatically, “We are not going to mess up Splunk.” His words were met with rapturous applause, reflecting the audience’s confidence and optimism about the merger. This statement was pivotal, as it acknowledged concerns while reinforcing Cisco’s commitment to preserving and enhancing the core strengths of Splunk. The promise of maintaining Splunk’s innovation and independence under Cisco’s broader umbrella has been a key reassurance for customers and partners alike.

The market has been closely monitoring the integration process, with high expectations. Cisco’s track record of successfully integrating acquired companies and its extensive resources suggests a promising future for Splunk. This acquisition is seen as a bold step toward creating a more unified and comprehensive platform that addresses the growing demands for cybersecurity and operational visibility in an increasingly complex digital landscape.

What Was Announced?

During the conference, Splunk unveiled a suite of new AI tools designed to enhance its product offerings significantly. These announcements showcased the company’s commitment to leveraging AI to improve IT visibility, threat mitigation, and operational efficiency.

AI Assistants in Observability Cloud and Security – Splunk introduced generative AI-powered Assistants in its Observability Cloud and Security platforms. These tools are designed to help users streamline detection, investigation, and response workflows. The AI Assistant in Observability Cloud, currently in private preview, offers a natural language interface to analyze metrics, traces, and logs. This feature is particularly beneficial for software developers and Site Reliability Engineers (SREs), enabling them to quickly extract valuable insights and resolve issues with less expertise required.

Splunk AI Assistant for SPL – The Splunk AI Assistant for SPL, now generally available, bridges the gap between human intuition and machine-driven analytics. It allows analysts to interact with Splunk’s data analytics platform using natural language, making it easier to execute complex analyses and understand existing queries. This tool enhances analyst productivity and decision-making effectiveness, empowering organizations to optimize data analysis and incident response.

IT Service Intelligence (ITSI) Enhancements – Splunk also announced new AI capabilities for its ITSI platform. The Configuration Assistant, which leverages advanced AI and machine learning, helps manage and optimize configurations by providing insights into the health of ITSI knowledge objects. Additionally, new features such as Drift Detection for KPIs and entity-level Adaptive Thresholds are in public preview. These tools help users spot potential issues early and create dynamic baselines for more accurate anomaly detection.

These announcements underscore Splunk’s dedication to advancing its AI capabilities, providing users with innovative tools to enhance their digital resilience and operational efficiency.

Looking Ahead

The trajectory of Splunk under Cisco’s stewardship appears promising, especially given Cisco’s commitment to not disrupt Splunk’s innovative spirit. One of the key highlights of this integration is the seamless merging of AppDynamics and Splunk Observability Cloud. This integration aims to provide a unified platform for monitoring, troubleshooting, and optimizing IT environments, offering customers unparalleled visibility and control over their digital operations.

Cisco’s plans for ThousandEyes are set to further enhance its observability suite. By integrating ThousandEyes’ internet and cloud intelligence capabilities with Splunk’s robust data analytics platform, Cisco aims to deliver comprehensive insights across the entire digital supply chain. This integration will empower organizations to proactively manage and mitigate disruptions, ensuring seamless digital experiences for their users.

A significant insight from a customer panel at the conference came from Progressive. They emphasized that the true value of AI lies in “Assisted Intelligence” rather than “Artificial Intelligence.” This perspective resonates strongly with the SRE teams facing alert fatigue. Progressive highlighted how AI tools can assist in managing the overwhelming volume of alerts, allowing teams to focus on more strategic tasks. By providing contextual insights and actionable recommendations, AI-driven tools can enhance the efficiency and effectiveness of IT operations without replacing human expertise.

Looking ahead, the collaboration between Cisco and Splunk is expected to drive significant advancements in the field of cybersecurity and observability. The combined strengths of both companies position them to address the evolving challenges of digital transformation, offering robust solutions that enhance operational resilience and security.

The integration of Splunk into Cisco’s ecosystem is poised to deliver innovative solutions that meet the growing demands of today’s digital enterprises. With a clear focus on leveraging AI to enhance IT visibility, streamline operations, and mitigate threats, Cisco and Splunk are well positioned to lead the market in cybersecurity and observability. As the industry looks forward to these developments, the promise of a more resilient and secure digital future becomes increasingly attainable.

Disclosure: The Futurum Group is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of The Futurum Group as a whole.

Other Insights from The Futurum Group:

Empowering Developers with Next-Generation Observability Solutions

Rising Observability Adoption in DevOps with Futurum Research’s Paul Nashawaty

Observability in Steady-State Ops

Author Information

Steven engages with the world’s largest technology brands to explore new operating models and how they drive innovation and competitive edge.

With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

Related Insights
NVIDIA DSX Promises More Revenue per Gigawatt. Who Actually Captures It?
July 6, 2026

NVIDIA DSX Promises More Revenue per Gigawatt. Who Actually Captures It?

Brendan Burke, Research Director at Futurum, analyzes how NVIDIA's DSX design and revenue sharing model increase token efficiency and capture recurring value from AI infrastructure deployments....
Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit
July 6, 2026

Why AI Coding Costs Are Spiraling: Context, Not Usage, Is the Real Culprit

As enterprise AI moves into production, organizations face a cost crisis. New analysis shows bloated AI coding bills stem from insufficient codebase context, forcing leaders to rethink ROI measurement strategies....
Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?
July 4, 2026

Is AI Ready for Real Work, or Are Enterprises Still Stuck in Experimentation?

Most enterprises claim advanced AI maturity, but lack governance and deployment strategies. Leading organizations are moving from experimentation to measurable AI impact....
Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up
July 4, 2026

Compliance as Code Is No Longer Optional: Why Manual Reviews Can’t Keep Up

Qodo's 'Compliance as Code' framework automates enterprise AI compliance through PR checks, solving the data privacy and security gaps that plague manual reviews at scale....
Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training
July 3, 2026

Databricks AI’s GPU Reliability Push Exposes Hidden Risks for Large-Scale Training

Databricks AI reveals critical GPU reliability challenges in distributed training environments. Silent slowdowns and numerical corruption pose greater risks than visible failures, threatening model quality and compute efficiency at enterprise...
AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos
July 3, 2026

AI Code Review Hits a Wall: Why Speed Without Trust Risks Engineering Chaos

A survey shows 94% of engineering leaders use agentic AI coding tools, but 55% struggle with reliability and hallucinations—revealing a critical gap between development speed and production quality....

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.