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Lack of Automation Undermines Network Configuration Compliance

Rich Martin
Itential

Most enterprise IT organizations struggle with network and cloud infrastructure configuration management and worry that their networks will fail configuration compliance audits. This issue is amplified as enterprise network engineers continue to take the "if it's not broke, don't fix it" approach to network infrastructure management. With that said, companies are beginning to demand more from their networks. Enterprise IT organizations are seeking out solutions that will enable them to be more agile and secure. As a result, infrastructure and operations teams are turning to network automation solutions.

Key findings from an Itential State of Network Automation survey demonstrate that any network automation initiative should include automated configuration compliance enforcement as a foundational building block. Moreover, configuration compliance should be applied to automation initiatives across any part of the network, from the data center to the cloud and out to the edge. By further analyzing the results of this report, organizations gain a better understanding on why such capabilities are necessary and how to make strides towards such solutions.

Outlining Current Setbacks

Selecting the right tools to utilize as part of the network automation management process is not always a straightforward task. Network engineers need to consider the complexity of the environment, those who will be managing it, operational processes, etc. In fact, only 34% of network management professionals are completely satisfied with the tools and processes they use for network configuration management. Network complexity also impacts the effectiveness of network configuration management, and as such, satisfaction is lowest in the largest networks. With more devices under management, changes can take longer and are more prone to error and this dissatisfaction leads to high anxiety. Three out of four IT organizations are at least somewhat concerned that their configuration management process could cause errors that lead to security issues or performance problems.

Of course, most IT organizations know their network configuration management processes need improvement. The report found that more than 60% of respondents are not confident that major parts of their networks could pass compliance audits, particularly in the data center and public cloud domains. This proves that organizations know they are at risk of fatal errors when it comes to operating their network successfully. The question remains, how can this be fixed?

Considering Next Steps

Configuration compliance is an essential starting point. Network engineers and architects generally know the intent of their network. They know how they want the network to behave and what network and security policies they want to enforce, but they aren't confident in their network's ability to comply with their intent. Reducing or eliminating manual configuration management processes can improve audit compliance and set up a technology organization for a successful network automation initiative. By enabling end-to-end automation across hybrid infrastructure, teams can ensure the consistency of network configuration compliance and accelerate processes like self-service networking.

Operational efficiency and reduced security risk must be top priorities. Automation can streamline operations by reducing time spent on repetitive tasks, allowing engineers to focus on strategic work. It can also reduce security risks by ensuring network device and service configurations adhere to strict security standards. Knowing that another 75% of organizations believe that self-service networking enabled by northbound APIs on network automation solutions will be at least somewhat helpful to IT operations, organizations can move forward knowing they will ultimately have the support they need to make such advancements.

Network automation can drive operational efficiency, reduce security risk, and improve compliance. It is crucial for IT organizations to identify their priorities for using network automation to transform operations. Then, they can let those priorities guide their network automation initiatives.

Rich Martin is Director of Technical Marketing at Itential

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Lack of Automation Undermines Network Configuration Compliance

Rich Martin
Itential

Most enterprise IT organizations struggle with network and cloud infrastructure configuration management and worry that their networks will fail configuration compliance audits. This issue is amplified as enterprise network engineers continue to take the "if it's not broke, don't fix it" approach to network infrastructure management. With that said, companies are beginning to demand more from their networks. Enterprise IT organizations are seeking out solutions that will enable them to be more agile and secure. As a result, infrastructure and operations teams are turning to network automation solutions.

Key findings from an Itential State of Network Automation survey demonstrate that any network automation initiative should include automated configuration compliance enforcement as a foundational building block. Moreover, configuration compliance should be applied to automation initiatives across any part of the network, from the data center to the cloud and out to the edge. By further analyzing the results of this report, organizations gain a better understanding on why such capabilities are necessary and how to make strides towards such solutions.

Outlining Current Setbacks

Selecting the right tools to utilize as part of the network automation management process is not always a straightforward task. Network engineers need to consider the complexity of the environment, those who will be managing it, operational processes, etc. In fact, only 34% of network management professionals are completely satisfied with the tools and processes they use for network configuration management. Network complexity also impacts the effectiveness of network configuration management, and as such, satisfaction is lowest in the largest networks. With more devices under management, changes can take longer and are more prone to error and this dissatisfaction leads to high anxiety. Three out of four IT organizations are at least somewhat concerned that their configuration management process could cause errors that lead to security issues or performance problems.

Of course, most IT organizations know their network configuration management processes need improvement. The report found that more than 60% of respondents are not confident that major parts of their networks could pass compliance audits, particularly in the data center and public cloud domains. This proves that organizations know they are at risk of fatal errors when it comes to operating their network successfully. The question remains, how can this be fixed?

Considering Next Steps

Configuration compliance is an essential starting point. Network engineers and architects generally know the intent of their network. They know how they want the network to behave and what network and security policies they want to enforce, but they aren't confident in their network's ability to comply with their intent. Reducing or eliminating manual configuration management processes can improve audit compliance and set up a technology organization for a successful network automation initiative. By enabling end-to-end automation across hybrid infrastructure, teams can ensure the consistency of network configuration compliance and accelerate processes like self-service networking.

Operational efficiency and reduced security risk must be top priorities. Automation can streamline operations by reducing time spent on repetitive tasks, allowing engineers to focus on strategic work. It can also reduce security risks by ensuring network device and service configurations adhere to strict security standards. Knowing that another 75% of organizations believe that self-service networking enabled by northbound APIs on network automation solutions will be at least somewhat helpful to IT operations, organizations can move forward knowing they will ultimately have the support they need to make such advancements.

Network automation can drive operational efficiency, reduce security risk, and improve compliance. It is crucial for IT organizations to identify their priorities for using network automation to transform operations. Then, they can let those priorities guide their network automation initiatives.

Rich Martin is Director of Technical Marketing at Itential

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In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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