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Networking, Cybersecurity and Observability Are Converging

Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC, conducted for Gigamon.

With 95% of organizations claiming to have experienced a ransomware attack in 2022, security remains top of mind for IT leaders regardless of their industry. According to the IDC White Paper, over 60% of respondents believe that today's observability solutions serve narrow requirements and fail to provide a complete view of current operating conditions.

To address today's rapidly evolving security requirements, enhancing traditional observability capabilities that rely on metrics, events, logs, and traces (MELT) with real-time network-derived intelligence and insights is essential to mitigate security risks across hybrid and multi-cloud infrastructure. Only with this deep observability can organizations find the greatest value from observability across both on-premises systems and cloud services, core and edge components, and cybersecurity functions.

"Networking, cybersecurity, and observability are becoming intertwined. IT organizations are looking to leverage an immutable source of truth and more collaborative management efforts to break down siloed technology approaches, position themselves for long-term success, and, ultimately, deliver the best possible business outcomes," said Mark Leary, Research Director with IDC. "Deep observability must be prioritized as IT organizations look to fully realize the transformational promise of a resilient and responsive digital infrastructure and continually maintain a strong security posture to meet today's digital business requirements."

Observability benefits include security, productivity and user experience

The top cited benefits of observability include security (34%), staff productivity (33%), and digital/user experience (25%). Observability also delivers a mix of both tactical (e.g., resolution, continuity, tracking) and strategic (e.g., experience, governance, innovation) benefits.

Deep observability will support automation

Over 75% of organizations use or plan to use deep observability solutions to support automation efforts in future years. Deep observability can enable a hierarchical platform-based approach in which detailed data and artificial intelligence (AI)/machine learning (ML)–driven analysis can produce a single source of truth, converge data and tools, and enable talent to deploy, operate, repair, and enhance digital infrastructures in a timely manner.

Cloud is priority

The market will see increased investments in cloud services over the next few years, with over half of respondents (51%) citing it as a priority. In fact, 72% of organizations strongly agree that cloud service intelligence should be leveraged to optimize costs and secure information. Cost from technical debt and the complexity of supporting multiple generations of infrastructure are some of the biggest barriers for organizations in achieving their digital infrastructure resiliency goals.

Network-derived intelligence can support Security

Network-derived intelligence can support adherence to SANS 20 Critical Security Controls, potentially eliminating 98% of possible attack vectors. Today, over 50% of respondents state that they actively share network intelligence across IT teams, and more than 60% of organizations are making progress in leveraging these insights in their security management practices.

"Over 90% of organizations operate in a hybrid and multi-cloud world, yet security blind spots remain a significant barrier for technology leaders looking to get the most out of their cloud investments," said Chaim Mazal, Chief Security Officer of Gigamon. "This research not only points to the critical role that deep observability plays in securing complex cloud environments but the necessary convergence of NetOps and SecOps teams in fortifying modern cybersecurity practices. "

Methodology: The findings are based on a survey, conducted by IDC, of over 900 global IT leaders across North America, APAC, and EMEA, which included a mix of major industries (financial, manufacturing, retail/wholesale, healthcare, transport/utilities, education, government, and professional services). All respondents held roles of manager or above, with key decision-making responsibilities for observability functions and solutions that span across IT operational domains, including networking, security, and cloud.

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Networking, Cybersecurity and Observability Are Converging

Harnessing the power of network-derived intelligence and insights is critical in detecting today's increasingly sophisticated security threats across hybrid and multi-cloud infrastructure, according to a new research study from IDC, conducted for Gigamon.

With 95% of organizations claiming to have experienced a ransomware attack in 2022, security remains top of mind for IT leaders regardless of their industry. According to the IDC White Paper, over 60% of respondents believe that today's observability solutions serve narrow requirements and fail to provide a complete view of current operating conditions.

To address today's rapidly evolving security requirements, enhancing traditional observability capabilities that rely on metrics, events, logs, and traces (MELT) with real-time network-derived intelligence and insights is essential to mitigate security risks across hybrid and multi-cloud infrastructure. Only with this deep observability can organizations find the greatest value from observability across both on-premises systems and cloud services, core and edge components, and cybersecurity functions.

"Networking, cybersecurity, and observability are becoming intertwined. IT organizations are looking to leverage an immutable source of truth and more collaborative management efforts to break down siloed technology approaches, position themselves for long-term success, and, ultimately, deliver the best possible business outcomes," said Mark Leary, Research Director with IDC. "Deep observability must be prioritized as IT organizations look to fully realize the transformational promise of a resilient and responsive digital infrastructure and continually maintain a strong security posture to meet today's digital business requirements."

Observability benefits include security, productivity and user experience

The top cited benefits of observability include security (34%), staff productivity (33%), and digital/user experience (25%). Observability also delivers a mix of both tactical (e.g., resolution, continuity, tracking) and strategic (e.g., experience, governance, innovation) benefits.

Deep observability will support automation

Over 75% of organizations use or plan to use deep observability solutions to support automation efforts in future years. Deep observability can enable a hierarchical platform-based approach in which detailed data and artificial intelligence (AI)/machine learning (ML)–driven analysis can produce a single source of truth, converge data and tools, and enable talent to deploy, operate, repair, and enhance digital infrastructures in a timely manner.

Cloud is priority

The market will see increased investments in cloud services over the next few years, with over half of respondents (51%) citing it as a priority. In fact, 72% of organizations strongly agree that cloud service intelligence should be leveraged to optimize costs and secure information. Cost from technical debt and the complexity of supporting multiple generations of infrastructure are some of the biggest barriers for organizations in achieving their digital infrastructure resiliency goals.

Network-derived intelligence can support Security

Network-derived intelligence can support adherence to SANS 20 Critical Security Controls, potentially eliminating 98% of possible attack vectors. Today, over 50% of respondents state that they actively share network intelligence across IT teams, and more than 60% of organizations are making progress in leveraging these insights in their security management practices.

"Over 90% of organizations operate in a hybrid and multi-cloud world, yet security blind spots remain a significant barrier for technology leaders looking to get the most out of their cloud investments," said Chaim Mazal, Chief Security Officer of Gigamon. "This research not only points to the critical role that deep observability plays in securing complex cloud environments but the necessary convergence of NetOps and SecOps teams in fortifying modern cybersecurity practices. "

Methodology: The findings are based on a survey, conducted by IDC, of over 900 global IT leaders across North America, APAC, and EMEA, which included a mix of major industries (financial, manufacturing, retail/wholesale, healthcare, transport/utilities, education, government, and professional services). All respondents held roles of manager or above, with key decision-making responsibilities for observability functions and solutions that span across IT operational domains, including networking, security, and cloud.

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...