Operations | Monitoring | ITSM | DevOps | Cloud

Today’s public sector organizations are tasked with delivering a staggering amount of technology capabilities to support a growing set of digital services, meet IT modernization goals, and continue to protect against a wide range of attack vectors. Cloud technology adoption has played a significant role in ensuring that ongoing IT modernization not only aligns with each organization’s mission-strategic capabilities but also enables efficiencies of scale.

In this blog we are going to address how to use Splunk to monitor security of MCP Servers, a new technology that has been developed by Anthropic and has definitely bridged the use of local applications with Large Language Models (LLMs).

In Part 1, we explored how aligning network visibility with IT service context empowers faster, smarter incident response. But what does this actually look like? Here in Part 2, we’ll go deeper into the challenges of traditional monitoring approaches, and how teams should look to move from fragmented alerts to unified insights – because when ITOps and NetOps can both see the “what” & “why” of the problem, actions become instinct.

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.

Recently, while visiting a friend in a local hospital, I found myself facing a frustrating distraction: trying to pay parking fees using USSD (a mobile text-based system for quick transactions). The service was either painfully slow or not working at all. I wasn’t alone. Other visitors were just as exasperated, and parking attendants stood idle, their handheld devices frozen in endless loading loops.