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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

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...