Splunk Observability unlocks actionable AI insights to help organizations improve the reliability of their entire digital estate 

Today Cisco announced agentic AI-powered Splunk Observability, an AI-native approach to observability that sets a new standard for how customers can strengthen their resilience. The enhanced Splunk Observability portfolio unifies observability across environments, surfaces actionable business context, and deploys AI-powered agents across the full incident response lifecycle, while monitoring both its performance and quality. Through integrations across Cisco technologies with Splunk, customers gain unmatched visibility and correlation of data insights across their networks, infrastructure, and applications to improve the reliability of their entire digital estate.

“Our mission is clear – to help organizations put AI applications and agents to work, while retaining visibility and control,” said Patrick Lin, SVP and GM of Splunk Observability. “With the latest innovations in Splunk Observability, we are empowering enterprises to proactively monitor their critical applications and digital services with ease, resolve issues before they escalate, and ensure the value and outcomes they derive from observability are commensurate with the cost.”

Agentic AI is reshaping what it takes to build a leading observability practice. As AI-assisted coding gains steam, applications will be built with less human involvement. At the same time, a new wave of AI-enabled applications and AI agents demand specialized telemetry to confirm models are performing as intended – aligned to business purpose and cost. To keep pace, organizations need unified, in-context, visibility across all of these environments to prioritize issues based on business impact.

Agentic AI-powered observability: proactive detection, investigation and resolution

Splunk is advancing Cisco’s AgenticOps vision through an enhanced Splunk Observability portfolio, supercharged by new agentic AI innovations. These innovations will deploy AI agents to automate telemetry collection and alert configuration, detect issues, identify root causes, and recommend fixes – freeing ITOps and engineering teams to focus on innovation. These advancements include:

• AI Troubleshooting Agents: Offered in Splunk Observability Cloud and Splunk AppDynamics, these agentic AI features automatically analyse incidents and surface potential root causes, helping users to quickly act on issues.
• Event iQ: Offered in Splunk IT Service Intelligence (ITSI), Event iQ helps teams easily set up automated alert correlation to quickly reduce alert noise and gain clear context on grouped alerts.
• ITSI Episode Summarization: In conjunction with AI-driven alert correlation through Event iQ, Episode Summarization in Splunk ITSI automatically provides overviews of grouped alerts, including trends, impact and root cause, to help troubleshoot faster.

Observability for AI to monitor the performance of AI agents, LLMs, and infrastructure 

As organizations integrate AI and large language models (LLMs) into their applications and deploy AI agents, they need specialized analytics to help ensure their AI is behaving as intended. Splunk helps teams proactively monitor the health, security, and cost of their AI application stack, including agents, LLMs, and AI Infrastructure, with:

• AI Agent Monitoring: Monitors the quality, security, and cost of LLMs and AI agents to determine whether models are performing at the right price and as intended, to align with business goals.
• AI Infrastructure Monitoring: Proactively monitors the health and consumption of AI infrastructure by alerting on bottlenecks and spikes across services to manage costs.

Unified observability that surfaces business and end-user impact

Cisco is bringing the best of Splunk AppDynamics and Splunk Observability Cloud together to provide a unified experience across three-tier and microservices environments, and deepening integration with Cisco ThousandEyes so ITOps, NetOps and Engineering teams can pinpoint the network’s impact on application performance and end-user experience. The innovations include:

• Business Insights in Splunk Observability Cloud: Teams can correlate application performance with the real-time health of critical business processes, such as checkout, loan processing, and supply chain flows with minimal setup.
• Digital Experience Analytics in Splunk Observability Cloud: Product and design teams can gain deep visibility into user journeys and behaviour, accessing richer customer experience insights and a faster setup.
• APM support for hybrid apps and business transactions in Splunk Observability Cloud: These capabilities strengthen APM for cloud-native applications and extend support for hybrid environments—building on Splunk AppDynamics’ expertise in monitoring traditional three-tier applications.
• Session Replay for Real User Monitoring (RUM) for Splunk AppDynamics and Splunk Observability Cloud: New Browser and Mobile Session Replay in Splunk AppDynamics and Splunk Observability Cloud will help teams optimize online experiences.
• Splunk AppDynamics Agent: Leveraging OpenTelemetry, this agent enables customers to collect data in either Splunk AppDynamics or Observability Cloud, enabling Splunk AppDynamics customers to use the observability offering that suits their needs.
• Splunk Observability Cloud Real User Monitoring (RUM) Integration with Cisco ThousandEyes: Users can correlate real-user experience with network performance across owned and third-party domains, to help pinpoint regions or services affected by network bottlenecks.

“Through the new agentic AI innovations within Splunk Observability, Cisco offers organizations more proactive visibility and actionable insights into both their digital operations and AI system health and performance,” said Torsten Volk, Principal Analyst, Application Modernization, Enterprise Strategy Group. “These kinds of capabilities are critical as enterprises look to scale AI in a controlled and reliable manner.”

Availability:

• Splunk AI Agent Monitoring, AI Troubleshooting Agents, ITSI Episode Summarization, Business Insights, Digital Experience Analytics, and Splunk RUM Integration with Cisco ThousandEyes are available or will be available soon in Alpha (private preview).
• All other innovations listed are now generally available to all global regions.

For more details on all of Splunk’s .conf25 announcements, please visit our newsroom. Availability dates and regions are subject to change.

Many of the products and features mentioned are still in development and will be made available as they are finalized, subject to ongoing evolution in development and innovation. The timeline for their release is subject to change.

About Cisco 

Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.

Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at http://www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word ‘partner’ does not imply a partnership relationship between Cisco and any other company.

About Splunk LLC

Splunk, a Cisco company, helps build a safer and more resilient digital world. Organizations trust Splunk to prevent security, infrastructure and application issues from becoming major incidents, absorb shocks from digital disruptions, and accelerate digital transformation.

Splunk and the Splunk> logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at http://www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word “‘partner”’ does not imply a partnership relationship between Cisco or its affiliates and any other company.

AI systems may feel real, but they don’t deserve rights, said Microsoft’s AI CEO.

Mustafa Suleyman said in an interview with WIRED published Wednesday that the industry needs to be clear that AI is built to serve humans, not to develop independent will or desires.

“If AI has a sort of sense of itself, if it has its own motivations and its own desires and its own goals — that starts to seem like an independent being rather than something that is in service to humans,” he said. “That’s so dangerous and so misguided that we need to take a declarative position against it right now.”

The former DeepMind and Inflection cofounder pushed back against the idea that AI’s increasingly convincing responses amount to genuine consciousness. It’s “mimicry,” he said.

He also said that rights should be tied to the ability to suffer — something biological beings experience but AI does not.

“You could have a model which claims to be aware of its own existence and claims to have a subjective experience, but there is no evidence that it suffers,” he said.

Humans don’t owe them any moral protection or rights. “Turning them off makes no difference, because they don’t actually suffer,” he added.

AI as sentient beings

Suleyman’s comments come as some AI companies explore the opposite: whether AI deserves to be treated more like sentient beings.

Anthropic has gone further than most companies in treating AI systems as if their welfare matters. The company has hired a researcher, Kyle Fish, whose role is to consider whether advanced AI might one day be “worthy of moral consideration.”

His job involves exploring what capabilities an AI system would need before earning such protection, and what practical steps companies could take to safeguard the “interests” of AI, Anthropic told Business Insider last year.

Anthropic has also recently experimented with how to end extreme conversations — including child exploitation requests — in ways that extend “welfare” considerations to the AI itself.

In April, a principal scientist at Google DeepMind said the industry might need to rethink the concept of AI consciousness altogether.

“Maybe we need to bend or break the vocabulary of consciousness to fit these new systems,” Murray Shanahan said on a Deepmind podcast published in April. “You can’t be in the world with them like you can with a dog or an octopus — but that doesn’t mean there’s nothing there.”

Suleyman previously said that there is no evidence that AI is conscious.

In a personal essay published last month, he wrote that he was “growing more and more concerned” about so-called AI psychosis, a term increasingly being used to describe when people form delusional beliefs after interacting with chatbots.

Suleyman and Microsoft did not respond to a request for comment from Business Insider.

AI isn’t ready to take over all the human aspects of trading, said Robinhood’s CEO.

In an interview with Bloomberg Wealth released on Wednesday, Vlad Tenev reiterated his view that people don’t always trade to make money and that there will always be a human aspect to business.

“Most of the time you’re not doing it just because you want to make money,” he said. “You also love trading and you’re you’re extremely passionate about it.”

He added: “I don’t think there’s going to be a future where AI just does all of your thinking, all of your financial planning, all the strategizing for you.”

Tenev, who cofounded the brokerage platform in 2013, said that AI could be a bigger platform shift than mobile and cloud technologies. He said that while every company will quickly become an AI company, AI won’t completely take over trading.

“It’ll be a helpful assistant to a trader and also to your broader financial life,” he said. “But I think the humans will ultimately be calling the shots.”

Tenev made similar remarks about how investors “legitimately enjoy trading” in an August interview with Axios.

On Tuesday, Robinhood announced it was building a social media platform where users can post their trades and track what other investors, including politicians, are buying or selling.

Other CEOs are also wary of pronouncing AI the future of trading.

Ken Griffin, the founder and CEO of Citadel, said he doesn’t think AI will revolutionize the investment business.

“Do we use it in our investment business? A little bit, a little bit. I can’t say it’s been game-changing,” Griffin said in a May interview with Stanford Graduate School of Business.

“It saves some time. It’s a productivity enhancement tool. It’s nice, I don’t think it’s going to revolutionize most of what we do in finance,” Griffin added.

On the topic of AI and trading, Goldman Sachs CEO David Solomon has said that AI has been a big boost to productivity in the investing business.

In an interview with CNBC last year, he said that 40 years ago, when he started the banking business, it took six hours to compare two stocks. Now, it takes an instant, he said.

The firm has already launched ventures that could change how Wall Street makes deals. Louisa AI, a startup founded within the firm six years ago, helps bankers and investors analyze millions of articles and employees’ knowledge to identify deals.