Skip to main content

Bridging the SecOps Gap

Security and Operations Teams Must Band Together to Foil Hackers
Bill Berutti

The world saw an epic number of data breaches in 2015. Reports of large-scale hacking attacks stealing everything from government secrets to children's birthdays and toy profiles were splashed across the headlines. IT executives and their teams were left to ponder – would we be next? As leaders, we need to leverage the strengths of our security and operations teams to fight back.

BMC and Forbes Insights recently surveyed executives in North America and Europe to get their perspective on their organization's overall security health and to find out what issues are critical to address. The results revealed the need for a framework organizations can use to get a solid strategy in place for improved security and compliance.

The survey showed that 97% of executives expect an increase in breach attempts in the next 12 months and 44% of executives say breaches occur even when vulnerabilities and remediation techniques are already identified. These two statistics paint a sobering image – almost half of data breaches could have been prevented.

With the threat of attacks on the rise, what causes unimplemented remediation plans to sit on the shelf? Lack of visibility between groups, lack of automation and competing priorities between groups all contribute to the issue. These three factors combine to create the "SecOps Gap."

Inconsistent approaches, manual processes and no ability to identify a threat and track its status across the lifecycle are challenges commonly faced by most organizations, and they all contribute to the gap. To address this, companies must focus on three critical elements to ensure that their security and operations teams are aligned on objectives and share accountability for the security and compliance of the organization. The three elements are People, Process and Technology.

People

A strong people strategy is the heart of an effective change management initiative. Start with setting a consistent vision for the security and operations teams. They need to see that they are interdependent and have shared goals in regard to the overall security of the organization. They need to balance these goals together with the needs of the business to be agile and reliable.

Process

The processes need to be reviewed in light of the shared goals and objectives. Repetitive, manual workflows should be evaluated to see if they are candidates for automation. Handoffs between the organizations need to be tight and provide opportunities for feedback and learning.

Technology

Technology should be deployed to facilitate the coordination and collaboration between these organizations. It is vital to be deliberate and to make sure that the technology you choose is built to solve the complete problem and not just portions of it. Many organizations implement point solutions to address the problem which fall short of addressing the complete problem.

Solutions must also be able to scale to handle the demands and complexity of your enterprise. Of the survey respondents, 60% want tools for automating corrective actions and 59% want a centralized view into vulnerabilities and remediation actions.

With 60% of survey respondents stating IT operations and security teams have only a general understanding of each other's requirements, it's clear that the SecOps Gap needs to be quickly acknowledged and addressed.

Bill Berutti is President of the Cloud, Data Center and Performance Businesses at BMC.

The Latest

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Bridging the SecOps Gap

Security and Operations Teams Must Band Together to Foil Hackers
Bill Berutti

The world saw an epic number of data breaches in 2015. Reports of large-scale hacking attacks stealing everything from government secrets to children's birthdays and toy profiles were splashed across the headlines. IT executives and their teams were left to ponder – would we be next? As leaders, we need to leverage the strengths of our security and operations teams to fight back.

BMC and Forbes Insights recently surveyed executives in North America and Europe to get their perspective on their organization's overall security health and to find out what issues are critical to address. The results revealed the need for a framework organizations can use to get a solid strategy in place for improved security and compliance.

The survey showed that 97% of executives expect an increase in breach attempts in the next 12 months and 44% of executives say breaches occur even when vulnerabilities and remediation techniques are already identified. These two statistics paint a sobering image – almost half of data breaches could have been prevented.

With the threat of attacks on the rise, what causes unimplemented remediation plans to sit on the shelf? Lack of visibility between groups, lack of automation and competing priorities between groups all contribute to the issue. These three factors combine to create the "SecOps Gap."

Inconsistent approaches, manual processes and no ability to identify a threat and track its status across the lifecycle are challenges commonly faced by most organizations, and they all contribute to the gap. To address this, companies must focus on three critical elements to ensure that their security and operations teams are aligned on objectives and share accountability for the security and compliance of the organization. The three elements are People, Process and Technology.

People

A strong people strategy is the heart of an effective change management initiative. Start with setting a consistent vision for the security and operations teams. They need to see that they are interdependent and have shared goals in regard to the overall security of the organization. They need to balance these goals together with the needs of the business to be agile and reliable.

Process

The processes need to be reviewed in light of the shared goals and objectives. Repetitive, manual workflows should be evaluated to see if they are candidates for automation. Handoffs between the organizations need to be tight and provide opportunities for feedback and learning.

Technology

Technology should be deployed to facilitate the coordination and collaboration between these organizations. It is vital to be deliberate and to make sure that the technology you choose is built to solve the complete problem and not just portions of it. Many organizations implement point solutions to address the problem which fall short of addressing the complete problem.

Solutions must also be able to scale to handle the demands and complexity of your enterprise. Of the survey respondents, 60% want tools for automating corrective actions and 59% want a centralized view into vulnerabilities and remediation actions.

With 60% of survey respondents stating IT operations and security teams have only a general understanding of each other's requirements, it's clear that the SecOps Gap needs to be quickly acknowledged and addressed.

Bill Berutti is President of the Cloud, Data Center and Performance Businesses at BMC.

The Latest

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 ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...