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7 Reasons IT Always Gets the Blame — and How IT Leaders Can Change That

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The article discusses seven key reasons why IT departments often become the scapegoat for business failures, including poor communication, mismatched goals, underinvestment, unclear ownership boundaries, and the perception of IT as a cost center rather than a strategic partner. It emphasizes that IT leaders can change this negative perception by improving communication with non-technical stakeholders, aligning IT with business strategy, promoting transparency, and reframing IT’s role as a proactive risk manager integral to business outcomes.

https://www.cio.com/article/4154273/7-reasons-it-always-gets-the-blame-and-how-it-leaders-can-change-that.html

Assessing Claude Mythos Preview’s Cybersecurity Capabilities

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Anthropic's Claude Mythos Preview, a new general-purpose language model, has demonstrated exceptional capabilities in cybersecurity, specifically in identifying and exploiting zero-day vulnerabilities across major operating systems and web browsers. Through their Project Glasswing initiative, they have used Mythos Preview to autonomously identify and develop exploits for long-standing security flaws, such as a 27-year-old OpenBSD bug and a 17-year-old FreeBSD remote code execution vulnerability, showcasing a significant advancement in AI-driven security tools that may transform how the industry defends against cyberattacks.

https://red.anthropic.com/2026/mythos-preview/

Project Glasswing: Securing Critical Software for the AI Era Anthropic

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Project Glasswing is a new collaborative initiative by Anthropic and major industry partners like Amazon, Apple, Google, and Microsoft to secure critical software using advanced AI capabilities. Leveraging Anthropic's frontier AI model, Claude Mythos Preview, which can autonomously identify and exploit software vulnerabilities, the project aims to proactively find and fix security flaws across vital infrastructure to defend against increasingly sophisticated cyber threats. This effort addresses the urgent cybersecurity challenges posed by AI-driven exploits and emphasizes broad industry cooperation and transparency to enhance global cyber resilience.

https://www.anthropic.com/glasswing

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/

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