In an era where hybrid environments and AI-driven innovations redefine enterprise operations, organizations face increasing complexity, disruption, and vulnerability in their systems. To overcome this growing challenge, Cisco and Splunk are working together to harness the power of AI to help customers ensure that digital resilience is an inherent part of their systems.
Our latest innovations focus on what matters most: giving customers actionable insights across their entire digital footprint. Whether it’s strengthening your security posture, improving how you see and respond to performance issues, modernizing your data platform, or making AI accessible to non-technical teams, these updates are designed to help you move faster, stay secure, and make smarter decisions with confidence.
For many organizations, gaining full visibility into the health of their systems is still a struggle. The shift to hybrid work, multi-cloud architectures, and edge computing has made it harder to pinpoint the root cause of issues before they impact users or the bottom line.
Today, Splunk is announcing innovations across its observability portfolio to provide organizations deeper visibility into their network health through integrations with Cisco, and faster troubleshooting with the help of AI:
Agentic, LLM-based applications and GenAI infrastructure add new layers to the tech stack that require specialized observability to help ensure performance, reliability, and a seamless user experience.
Splunk Observability for AI-enabled applications, expands observability into the LLM stack. New capabilities in Splunk Observability Cloud and Splunk AppDynamics provide real-time monitoring of AI orchestration, app and cloud model platforms, base language models and infrastructure, so ITOps and engineering teams can manage performance and scale their GenAI platforms.
As AI becomes more deeply embedded in enterprise workflows, one challenge remains: how to make these technologies usable by everyone, not just data scientists. That’s where a new Splunk platform feature comes in.
This new feature, enabled by Machine Learning Toolkit (MLTK) 5.6, allows customers to connect to external large language models — from services such as those from OpenAI, Anthropic, Google Gemini, Amazon Bedrock, Groq, or from your desktop with Ollama — directly into the Splunk search experience. Analysts can upskill their knowledge and leverage the power of these large all-purpose LLMs to ask questions, generate summaries, surface trends, and explore datasets within Splunk. Instead of doing external research or writing complex queries and sifting through logs, analysts can easily get richer, contextual insights about their data in return.
For organizations, this means faster data insights and higher productivity for their teams to deliver more secure and reliable digital operations.
As organizations scale, the need for more secure, performant, and manageable data platforms becomes even more critical. The latest versions of Splunk Enterprise and Splunk Cloud Platform — version 10.0 — aim to deliver exactly that.
These updates introduce key enhancements that help customers reduce operational overhead and strengthen their compliance posture. With modern encryption protocols, support for FIPS 140-3, and updates to underlying library components like Python, OpenSSL, and MongoDB, the platform is more secure and reliable. These improvements aren’t just technical upgrades; they translate directly into reduced risk and more time for teams to focus on strategic priorities rather than infrastructure maintenance.
Customers will also see improvements in how data is ingested and visualized, allowing them to have more control over cost and pipeline management. These offerings also better integrate the Splunk Platform and Splunk Observability portfolio, bringing context-rich insights directly into ITOps workflows. This eliminates the need to switch tools to run parallel investigations, and gives teams the confidence to make data-driven decisions faster.
Splunk Enterprise 10.0 and Splunk Cloud Platform 10.0 will be available globally later this summer.
As organizations face a rising tide of threats, the need for more resilient and responsive security operations has never been greater. Protecting systems now demands visibility into every layer of the environment. By integrating with Cisco’s security solutions, Splunk helps security teams detect, investigate, and respond to threats with greater speed and precision. These expanded offerings include:
Cisco and Splunk are working together to turn complexity into clarity with innovations aimed at solving customer problems. Whether it’s simplifying platform management, reducing response times, or applying AI to operational data, we are delivering connected solutions across observability, security, and AI. Digital resilience takes ongoing effort, but with better visibility and actionable insights, organizations can respond faster and operate more effectively to protect and grow their businesses.
[*] Coming soon
Forward-Looking Statements
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The world’s leading organizations rely on Splunk, a Cisco company, to continuously strengthen digital resilience with our unified security and observability platform, powered by industry-leading AI.
Our customers trust Splunk’s award-winning security and observability solutions to secure and improve the reliability of their complex digital environments, at any scale.