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July 22.2025
2 Minutes Read

Uncovering Cyber Risk: Just 10% of Employees Responsible for 73% of Vulnerabilities

Cyber risk management infographic emphasizing risky user behavior.

The Hidden Risk: 10% of Employees Drive Cyber Vulnerability

A recent report has shed light on a critical vulnerability in organizations today: a small fraction of employees—just 10%—are responsible for a staggering 73% of cyber risk. This startling revelation comes from the 2025 State of Human Cyber Risk Report released by Living Security and conducted by Cyentia Institute. With organizations facing increasingly complex threats, managing human behavior appears to be as crucial as fortifying technical defenses.

Understanding the Essence of Human Cyber Risk

Human risk has traditionally been seen as a broad spectrum of employee actions leading to security breaches. However, this report paints a more nuanced picture: risky behavior is heavily concentrated among a small group of individuals. This insight emphasizes the need for targeted interventions rather than blanket security awareness training. Surprisingly, the report notes that remote and part-time workers are less risky than their in-office colleagues, contradicting long-held assumptions about where risks lie.

Visibility is Key: Why Organizations Struggle

The findings indicate a significant gap in visibility for organizations relying solely on traditional security measures. For instance, companies that strictly employ security awareness training only gain visibility into 12% of risky behaviors, whereas organizations that utilize advanced Human Risk Management (HRM) programs can see up to five times that visibility. This underscores the necessity of evolving traditional security strategies to incorporate behavioral insights.

The Power of Human Risk Management

Implementing advanced HRM tactics can lead to a dramatic reduction of risks: organizations using Living Security’s Unify platform reported a 50% decrease in risky employees and a 60% reduction in high-risk behaviors. This shift from awareness-focused methods to a more strategic approach that emphasizes behavior-tracking could redefine cybersecurity protocols across industries.

Preparing for Future Threats: A Behavioral Approach

As digital transformation continues to unfold, with AI and automated tools becoming commonplace, organizations must adapt their cybersecurity frameworks accordingly. Ashley Rose, CEO of Living Security, stresses that understanding user behavior is now pivotal to effective cybersecurity. By prioritizing behavioral visibility and targeted interventions, leaders can not only protect sensitive information but also foster a culture of security awareness across teams.

Final Thoughts: The Importance of the Human Element

In a world where cybercrime is increasingly sophisticated, a one-dimensional approach to security is no longer viable. Embracing the essence of human behavior in cybersecurity strategies offers a compelling advantage for organizations. By recognizing and addressing the characteristics of high-risk employees, businesses can meaningfully transform their security landscape.

For cybersecurity leaders navigating tight budgets and evolving threats, it is clear: investing in through a human-centric framework is no longer optional—but essential. Understanding who your riskiest users are and how to effectively mitigate their exposure can redefine security efforts and enhance overall resilience against cyber threats.

In summary, it's time for organizations to shift from reactive cybersecurity measures to proactive, behavior-driven strategies. This new perspective not only promises a safer networking environment but also transforms the culture surrounding cybersecurity.

Agile-DevOps Synergy

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07.21.2025

China's Underwater AI Data Center: A New Era for Sustainable Computing

Update Revolutionizing Data Centers: A Glimpse into China’s Underwater AI FacilityThe launch of China’s $223 million underwater AI data center off the coast of Shanghai marks a significant leap towards sustainable computing. Designed by Hailanyun, this innovative facility cools high-performance servers using seawater and harnesses nearby offshore wind for energy, pushing the boundaries of how we think about both data processing and environmental consciousness.Why Sustainable AI Computing MattersAs global demand for data processing surges, so does the environmental impact of traditional data centers. They are notorious energy consumers, with almost 40% of their energy used solely for cooling, straining both electricity and freshwater resources. According to a joint report from UNESCO and University College London, the growing energy toll of artificial intelligence—especially with larger models—poses sustainability concerns that cannot be ignored. As more organizations switch to AI applications, this problem becomes urgent.How the Underwater Center Changes the GameChina's underwater data center emerges as a solution to this dilemma. By utilizing naturally cold seawater for cooling, it dramatically decreases energy and freshwater demands. With 198 server racks designed for intensive AI workloads, the facility boasts capabilities that allow it to train a large language model within just one day—transforming the data processing landscape. This new model serves as a prototype for potential global solutions, setting a new norm in sustainable computing.Challenges and Considerations of Subsea Data CentersWhile the benefits of underwater data centers are evident, they come with distinct challenges. For instance, warmer water discharge from cooling systems can impact marine life by reducing oxygen levels. However, Hailanyun representatives claim the temperature increase is minimal and not detrimental. Moreover, repairing underwater hardware could be significantly more complicated and costly than on land, raising questions about long-term viability.Future Perspectives on Global Computing StandardsThis initiative aligns with a growing trend in tech investments aimed at sustainable practices. As companies across the globe explore new ways to meet environmental standards, China's approach could influence practices in both developed and developing nations. The success of this underwater data center may inspire other regions to reconsider their power and cooling strategies, shaping a more sustainable future for technology.Final Thoughts: The Broader Impact on Agile Development and TechAs businesses adapt to new technology, integrating sustainable practices into development pipelines becomes paramount. Concepts like DevOps and Agile methodologies promote continuous improvement, and the principles can align with environmental consciousness. Embracing a synergy between Agile and sustainable computing will benefit not only tech companies but the global community, ultimately supporting broader ecological goals.Monitoring how your own organization approaches similar issues will be essential. Are you ready to innovate alongside the advancements being made in AI and sustainability? By prioritizing the integration of sustainable practices in your workflows, not only does it present new opportunities for your business, but it also contributes positively to the planet’s future. Together, we can shape a better tomorrow.

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Unlocking the Future of DevOps: GitLab's AI Agents Revolution

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Exploring Europe’s General-Purpose AI Rulebook: What It Means for Tech Giants

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