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5 IT Leaders Share New Year’s Resolutions for 2026

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CIOs’ 2026 resolutions focus on balancing AI and human intelligence, improving emotional and cultural skills over purely technical ones. They emphasize intentional AI deployment, prioritizing innovative and accountable solutions while mitigating technical debt. Key leaders highlight the importance of human-centered design in AI projects and the need for better collaboration between AI and human oversight to enhance efficiency and reliability in operations.

https://www.ciodive.com/news/5-it-leaders-new-years-resolutions-2026/808888/

7 Changes to the CIO Role in 2026

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CIO roles are evolving significantly due to AI, moving from IT support to strategic business partners. Key changes include:

  1. Focus on extracting value from AI, moving past experimentation.
  2. Shift from back-office operations to working closely with business leaders.
  3. Leading change management as AI reshapes work processes.
  4. Emphasis on modernizing data stacks to support AI needs.
  5. Strategic decisions on building versus buying AI solutions, tied to business value.
  6. Flexibility in platform selection for AI deployment.
  7. Transforming IT from a cost center to a revenue-generating function with AI-driven products.

https://www.cio.com/article/4107216/7-changes-to-the-cio-role-in-2026.html

New Kiteworks Research Reveals Most Organizations Can’t Prove Where Their Data Lives—Warning of Enterprise Data Proof Gaps

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Kiteworks’ 2026 Data Security and Compliance Risk Report reveals 61% of organizations lack evidence-quality audit trails, and 57% lack centralized data gateways, hindering compliance with data sovereignty laws. The research indicates a significant visibility crisis as only 36% know where their data is processed. AI adoption exacerbates the issue, with 63% unable to enforce purpose limitations on AI systems. Third-party relationships further complicate data tracking, with many organizations lacking incident response practices. Effective governance correlates with board engagement, highlighting the need for centralized data management to meet regulatory expectations.

https://www.cybersecurity-insiders.com/new-kiteworks-research-reveals-most-organizations-cant-prove-where-their-data-lives-warning-of-enterprise-data-proof-gaps/

7 Cybersecurity Tips for 2026 No One Will Tell You About

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TLDR: For effective cybersecurity in 2026, focus on live documentation, rotate responsibilities, scrutinize CI/CD pipelines, customize vendor defaults, train under stress, audit shadow integrations, and preserve raw incident reports. Such practices reduce risks, enhance awareness, and build resilience against attacks.

https://devops.com/7-cybersecurity-tips-for-2026-no-one-will-tell-you-about/

How AI Is Reshaping the Foundations of Computing and Storage

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AI workloads challenge traditional storage, requiring high-performance systems to prevent GPU idling and stalled training cycles. Legacy systems are inadequate, leading to reliability issues and costly inefficiencies. Modern architectures must incorporate fault tolerance, resilience, and efficient data management to meet AI demands and ensure ROI.

https://www.cio.com/article/4112793/how-ai-is-reshaping-the-foundations-of-computing-and-storage.html

How to Build an AI-Augmented Workforce: The CIO’s Guide

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AI-augmented workforce promotes human-AI collaboration to enhance productivity, not replace workers. By automating repetitive tasks, AI allows employees to focus on strategic thinking and creativity. Companies should prioritize employee training, ethical governance, and effective integration of AI tools. Key benefits include improved decision-making, innovation, and employee satisfaction. Best practices for implementation involve identifying use cases, redesigning workflows, and measuring ROI. Challenges include employee resistance, skills gaps, and ethical concerns. Future trends indicate more personalized AI assistants, predictive analytics, and a shift in employee roles towards strategic oversight in an increasingly AI-driven landscape.

https://www.techtarget.com/searchenterpriseai/tip/How-to-build-an-AI-augmented-workforce-The-CIOs-guide

EU Court of Justice Narrows Scope of When Pseudonymized Data Is Considered “Personal Data”

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EU Court of Justice ruling narrows definition of “personal data,” stating pseudonymized data is only personal if re-identification is “reasonably likely” for the recipient. This shifts how organizations handle such data, impacting sectors like AdTech and AI training. Compliance obligations for GDPR remain based on the original controller’s capabilities. Organizations can share pseudonymized data more freely, but must assess re-identification risks carefully.

https://www.armstrongteasdale.com/thought-leadership/eu-court-of-justice-narrows-scope-of-when-pseudonymized-data-is-considered-personal-data/

With Cyber on Execs’ Minds, CISOs Need ‘101’ Communication Skills

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CISOs must communicate cybersecurity risks simply to executives, focusing on fundamental concepts. Protiviti’s Sameer Ansari emphasizes avoiding technical jargon, instead sharing contextual stories about risks and controls to ensure understanding at the C-suite level. The rising focus on cybersecurity signs it’s a crucial business strategy, necessitating integration into executive discussions and decision-making.

https://www.itbrew.com/stories/2026/01/05/with-cyber-on-execs-minds-cisos-need-101-communication-skills

5 Myths About DDoS Attacks and Protection

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5 myths about DDoS attacks:

  1. Myth 1: DDoS attacks are rare and only target large firms.
    Truth: They’re frequent and affect all business sizes; 15M+ attacks occurred in 2024, often executed by low-cost DDoS-for-hire services.

  2. Myth 2: DDoS attacks only involve massive traffic floods.
    Truth: Attacks are increasingly small and targeted, with a rise in application-layer attacks noted.

  3. Myth 3: Next-gen firewalls can stop DDoS attacks.
    Truth: They can be vulnerable; combining them with specialized DDoS protection is crucial.

  4. Myth 4: Cloud-based DDoS protection is sufficient.
    Truth: Smaller attacks can bypass them; a hybrid approach is necessary for robust defense.

  5. Myth 5: AI/ML aren’t needed for DDoS protection.
    Truth: Attackers use AI to enhance attacks; defenses must incorporate AI to identify threats effectively.

To protect networks, debunking these myths is essential for implementing effective DDoS defenses.

https://www.csoonline.com/article/4110714/5-myths-about-ddos-attacks-and-protection.html

Cloud File-sharing Sites Targeted for Corporate Data Theft Attacks

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A threat actor, Zestix, is selling stolen corporate data from breaches of ShareFile, Nextcloud, and OwnCloud instances. The data, obtained through info-stealing malware, includes sensitive information from various sectors, posing security and national security risks. Hudson Rock, a cybersecurity company, has identified the breaches and notified the affected platforms.

https://www.bleepingcomputer.com/news/security/cloud-file-sharing-sites-targeted-for-corporate-data-theft-attacks/

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