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Embracing Preventative Security Measures to Prevent Another CrowdStrike Disruption

James Millington
VP, Industry Solutions
IGEL

On July 19, 2024, the cybersecurity landscape faced a significant setback due to an unexpected outage triggered by CrowdStrike, a leading security software provider. This incident not only highlighted the intricate challenges within IT environments but also the cascading effects on global operations across various sectors, prompting a reevaluation of endpoint security strategies.

The Incident and Its Immediate Impact

The outage was initiated by a defective update to CrowdStrike's security software, which inadvertently caused blue screens on Windows devices globally. This event affected critical infrastructure and operations, including major airlines which experienced severe disruptions. For instance, Delta Air Lines reported over 7,000 flight cancellations, estimating a direct revenue impact of approximately $380 million due to this incident. 

The widespread nature of the outage underscores the complexities and vulnerabilities inherent in managing endpoint systems, particularly those that rely heavily on interconnected and layered security solutions. This single event affected approximately 8.5 million Windows devices, a stark reminder of the pervasive reliance on digital infrastructure in modern business operations.

Sympathy for IT Professionals and the Push for Simplification

In the wake of the outage, there has been a significant outpouring of support for IT professionals, whose prompt and dedicated efforts were crucial in managing the fallout. These professionals faced the daunting task of, in many cases, manually visiting and rebooting the affected systems, a process that was both time-consuming and challenging. 

This incident has brought to light the critical need for a more simplified and preventative approach to endpoint security and management. The reliance on complex systems with multiple layers of security not only increases the risk of failure but also complicates the management and operational agility of IT environments that serve as the backbone of our digital world.

Embracing a Preventative Security Model: The Path to Enhanced Cyber Resilience

The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures. For example, adopting secure, Linux-based endpoint operating systems can significantly reduce complexity and enhance security postures by minimizing the attack surface and reducing the layers of security needed. 

Such operating systems use a Preventative Security Model which can not only simplify endpoint management but also reduce the operational burden on IT staff. At the forefront of this transformative endpoint shift, using a secure Linux-based operating system at the endpoint preemptively mitigates risks. For the most resilience, select an endpoint OS that offers the following features: 

1. Read-Only Operating System and Zero Trust Security - By design, Linux-based endpoint operating systems are read-only. This is crucial in preventing malware infections because they disallow unauthorized changes. In the most advanced Linux endpoint OS solutions, each system reboot includes comprehensive integrity checks, securing the OS against sophisticated phishing attacks. 

2. No Local Data Storage - Select an endpoint OS that prohibits local data storage on devices. This minimizes common security breaches associated with data mishandling and not only simplifies breach investigations but dramatically reduces the risk of data theft. 

3. Trusted Application Platform and Endpoint Integrity - Ensure the OS you select secures its boot process at every stage. The most advanced will use cryptographic signatures that enhance system integrity and facilitate quick recovery from cyber threats. 

4. Advanced Authentication and Network Security - For assured application interoperability and ease of use in your specific use case, select an endpoint OS solution that offers validated integration with leading vendors. Be sure too that it employs strong authentication measures aligning with Zero Trust principles to substantially boost overall security infrastructure. 

5. Modular Design for Reduced Attack Surface - Finally, choose a secure endpoint OS that offers a modular and streamlined design to limit potential attack vectors. Also select options that offer a secure, customizable user environment through centralized management. 

The CrowdStrike incident marks a critical juncture for IT security, emphasizing the need to transition towards simplified, preventative security frameworks that prioritize robustness and ease of management. As organizations navigate the complexities of modern IT environments, adopting preventative security strategies can significantly fortify their defenses against future cybersecurity challenges, ensuring a secure and resilient digital infrastructure.

James Millington is VP, Industry Solutions, at IGEL

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Embracing Preventative Security Measures to Prevent Another CrowdStrike Disruption

James Millington
VP, Industry Solutions
IGEL

On July 19, 2024, the cybersecurity landscape faced a significant setback due to an unexpected outage triggered by CrowdStrike, a leading security software provider. This incident not only highlighted the intricate challenges within IT environments but also the cascading effects on global operations across various sectors, prompting a reevaluation of endpoint security strategies.

The Incident and Its Immediate Impact

The outage was initiated by a defective update to CrowdStrike's security software, which inadvertently caused blue screens on Windows devices globally. This event affected critical infrastructure and operations, including major airlines which experienced severe disruptions. For instance, Delta Air Lines reported over 7,000 flight cancellations, estimating a direct revenue impact of approximately $380 million due to this incident. 

The widespread nature of the outage underscores the complexities and vulnerabilities inherent in managing endpoint systems, particularly those that rely heavily on interconnected and layered security solutions. This single event affected approximately 8.5 million Windows devices, a stark reminder of the pervasive reliance on digital infrastructure in modern business operations.

Sympathy for IT Professionals and the Push for Simplification

In the wake of the outage, there has been a significant outpouring of support for IT professionals, whose prompt and dedicated efforts were crucial in managing the fallout. These professionals faced the daunting task of, in many cases, manually visiting and rebooting the affected systems, a process that was both time-consuming and challenging. 

This incident has brought to light the critical need for a more simplified and preventative approach to endpoint security and management. The reliance on complex systems with multiple layers of security not only increases the risk of failure but also complicates the management and operational agility of IT environments that serve as the backbone of our digital world.

Embracing a Preventative Security Model: The Path to Enhanced Cyber Resilience

The CrowdStrike outage serves as a potent illustration of the risks associated with complex security environments. Enterprises are increasingly advised to consider simpler, more robust solutions that do not rely heavily on reactive security measures. For example, adopting secure, Linux-based endpoint operating systems can significantly reduce complexity and enhance security postures by minimizing the attack surface and reducing the layers of security needed. 

Such operating systems use a Preventative Security Model which can not only simplify endpoint management but also reduce the operational burden on IT staff. At the forefront of this transformative endpoint shift, using a secure Linux-based operating system at the endpoint preemptively mitigates risks. For the most resilience, select an endpoint OS that offers the following features: 

1. Read-Only Operating System and Zero Trust Security - By design, Linux-based endpoint operating systems are read-only. This is crucial in preventing malware infections because they disallow unauthorized changes. In the most advanced Linux endpoint OS solutions, each system reboot includes comprehensive integrity checks, securing the OS against sophisticated phishing attacks. 

2. No Local Data Storage - Select an endpoint OS that prohibits local data storage on devices. This minimizes common security breaches associated with data mishandling and not only simplifies breach investigations but dramatically reduces the risk of data theft. 

3. Trusted Application Platform and Endpoint Integrity - Ensure the OS you select secures its boot process at every stage. The most advanced will use cryptographic signatures that enhance system integrity and facilitate quick recovery from cyber threats. 

4. Advanced Authentication and Network Security - For assured application interoperability and ease of use in your specific use case, select an endpoint OS solution that offers validated integration with leading vendors. Be sure too that it employs strong authentication measures aligning with Zero Trust principles to substantially boost overall security infrastructure. 

5. Modular Design for Reduced Attack Surface - Finally, choose a secure endpoint OS that offers a modular and streamlined design to limit potential attack vectors. Also select options that offer a secure, customizable user environment through centralized management. 

The CrowdStrike incident marks a critical juncture for IT security, emphasizing the need to transition towards simplified, preventative security frameworks that prioritize robustness and ease of management. As organizations navigate the complexities of modern IT environments, adopting preventative security strategies can significantly fortify their defenses against future cybersecurity challenges, ensuring a secure and resilient digital infrastructure.

James Millington is VP, Industry Solutions, at IGEL

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.