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What It Takes to Step Into a C-level Technology Role

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The article by Isaac Sacolick discusses the essential skills and mindset required to transition from leading digital transformation initiatives to assuming a C-level technology leadership role such as CIO or CTO. It emphasizes the need for leaders to develop strategic accountability, influence without being the technical expert, continuous learning—especially in AI and emerging technologies—and the ability to lead through ambiguity while driving enterprise-wide innovation and operational stability. The piece highlights practical steps including lifelong learning, social learning through peer communities, and gaining business acumen to successfully step into C-level positions.

https://www.cio.com/article/4154063/what-it-takes-to-step-into-a-c-level-technology-role-2.html

Why Third-Party Risk Is the Biggest Gap in Your Clients’ Security Posture

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The article highlights that third-party risk has become the largest security gap for organizations, as breaches increasingly occur through trusted vendors, SaaS tools, or subcontractors rather than internal systems. With expanded regulatory requirements and growing third-party ecosystems, managing these risks effectively is now a critical security and compliance function, presenting both challenges and significant growth opportunities for MSPs and MSSPs who can scale third-party risk management into consistent, high-value services.

https://thehackernews.com/2026/04/why-third-party-risk-is-biggest-gap-in.html

Netflix, Meta, IBM Speakers Discuss AI and Their Workdays

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At the All Things AI conference, experts from IBM, Meta, and Netflix highlighted that while AI can greatly enhance programming productivity—making anyone a “10x programmer”—it also generates significantly more work in preparing context and cleaning up outputs. They emphasized the need for multiple AI agents to collaborate and verify each other's work, and stressed that effective AI use requires careful decomposition of tasks, precise instructions, and ongoing human oversight to manage issues like hallucinations and “context rot.”

https://www.theregister.com/2026/04/04/all_things_ai_conference/

What CIOs Are Most Looking to Replace with AI Today

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A 2026 survey of 141 CIOs reveals that customer service management (26%), finance operations (21%), and project management (20%) are the software categories most prone to AI-driven vendor replacement, driven by AI’s ability to streamline coordination and workflow visibility. Meanwhile, 54% of CIOs are pursuing vendor consolidation, with 45% of AI budgets replacing existing software spend, signaling a shift where AI adoption often comes at the expense of traditional tools, although deeply integrated platforms like ERP and general productivity suites remain relatively protected due to high switching costs.

https://www.saastr.com/cioreplaceai/

Why ‘Need-to-Know’ Communication Fails Modern IT Teams

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Fredrik Hagstroem argues that “need-to-know” communication fails modern IT teams because withholding information constrains decision-making and trust. He emphasizes that clarity requires completeness and context rather than brevity, noting that modern complex IT environments demand broader information sharing to empower teams, build trust, and drive effective action toward goals.

https://www.cio.com/article/4153864/why-need-to-know-communication-fails-modern-it-teams.html

Which Cloud Architecture Decision Do Tech Leaders Regret Most? Treating AI Like Just Another Workload

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Tech leaders often regret treating AI like just another cloud workload, as AI systems fundamentally differ in behavior and scaling from traditional applications. Unlike deterministic and predictably scalable workloads, AI involves dynamic, conditional execution that challenges existing cloud architecture assumptions, leading to issues in cost management, governance, and system design if not properly accommodated.

https://www.cio.com/article/4153830/which-cloud-architecture-decision-do-tech-leaders-regret-most-treating-ai-like-just-another-workload.html

How to Be Less Busy and More Effective in Cyber

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The article discusses how cybersecurity professionals often mistake busyness for effectiveness, highlighting a new framework inspired by MITRE ATT&CK that identifies common unproductive patterns like excessive meetings and fragmented attention that degrade performance. Experts emphasize focusing on meaningful outcomes rather than activities, managing work-life boundaries, and regularly assessing tasks and meetings to improve both security posture and personal well-being.

https://cisoseries.com/how-to-be-less-busy-and-more-effective-in-cyber/

How Can Tech Workforce and AI Strategies Impact Digital Readiness?

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Deloitte's research using system dynamics modeling reveals that cutting technical workforce roles without simultaneous investments in data and AI modernization can significantly slow digital capability and organizational readiness, risking long-term agility and transformation success. While scaling AI and strengthening data foundations boost technology performance, workforce reductions—even when paired with AI investments—often cause short-term setbacks in readiness before improvement resumes.

https://www.deloitte.com/us/en/insights/topics/technology-management/tech-workforce-ai-strategies.html

Delivered by Trust: What the Axios Supply Chain Attack Means For Security Leaders

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The Axios NPM package was compromised in a March 2026 supply chain attack that introduced malicious versions containing trojanized dependencies, enabling remote access trojans (RATs) to be deployed on affected systems. This incident highlights the risks of trusted software supply chain attacks, urging organizations to identify and remediate compromised environments, enforce dependency controls, and enhance supply chain visibility to prevent similar breaches.

https://bishopfox.com/blog/delivered-by-trust-what-the-axios-supply-chain-attack-means-for-security-leaders

How Many Products Does Microsoft Have Named ‘Copilot’? I Mapped Every One

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The article explores the extensive use of the name “Copilot” by Microsoft, identifying at least 80 different products, features, and tools sharing the name, spanning apps, platforms, hardware keys, and development tools. The author compiled a comprehensive and interactive visualization to map and connect these diverse “Copilot” offerings, highlighting the challenge of defining what Microsoft Copilot truly represents amid its widespread and varied use.

https://teybannerman.com/strategy/2026/03/31/how-many-microsoft-copilot-are-there.html

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