The Vibe Coding Crisis: Why You Need a Dual-Track Engineering Strategy

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The article highlights the risks of “vibe coding,” where AI rapidly generates software prototypes without engineering rigor, leading to security vulnerabilities and technical debt. It advocates for a dual-track engineering strategy that encourages fast, AI-driven prototyping in sandboxed environments (Track 1) while mandating human engineers to rebuild secure, production-quality systems from scratch (Track 2) to ensure reliability and safety in enterprise infrastructure.

https://www.cio.com/article/4155813/the-vibe-coding-crisis-why-you-need-a-dual-track-engineering-strategy.html

KPMG Report Finds Enterprise Disconnect Between AI and Its ROI

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A KPMG report reveals a significant disconnect in enterprises between artificial intelligence (AI) adoption and measurable return on investment (ROI), with many companies continuing to invest heavily in AI despite unclear or traditional ROI metrics. The report highlights that while AI adoption is accelerating globally, only a small group of leaders are capturing clear business value, prompting a mindset shift toward viewing AI as a long-term strategic enabler rather than a technology yielding immediate financial returns. Analysts note the challenges in measuring AI’s impact due to its replacement of previously unmeasured intellectual work and the evolving nature of AI integration into everyday business operations.

https://www.cio.com/article/4157498/kpmg-report-finds-enterprise-disconnect-between-ai-and-its-roi.html

AI Infrastructure Budgets Set to Triple as Demand Soars: Deloitte

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A Deloitte report reveals that AI infrastructure budgets are set to triple by 2028 as enterprises respond to soaring demand and increasing automation. Most companies are adopting hybrid infrastructure models that combine public cloud services with on-premises resources to effectively scale AI workloads, leading to significant shifts in IT spending and closer collaboration between business and technology decision-makers.

https://www.ciodive.com/news/ai-infrastructure-budgets-set-to-triple/817259/

Two Different Attackers Poisoned Popular Open Source Tools

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In March 2026, two separate supply chain attacks targeted popular open source tools—Trivy, a vulnerability scanner used by over 100,000 users, and Axios, a widely used JavaScript library—infecting them with malware to steal credentials from thousands of organizations. These attacks, attributed to distinct groups including a North Korean-linked threat actor and a cybercrime collective called TeamPCP, demonstrate a growing trend of sophisticated supply chain compromises that leverage social engineering and AI to exploit developer environments, underscoring the urgent need for improved software bill-of-materials (SBOMs) and enhanced security measures.

https://www.theregister.com/2026/04/11/trivy_axios_supply_chain_attacks/

How to Protect Your Organization From AirSnitch Wi-Fi Vulnerabilities

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The AirSnitch family of vulnerabilities exposes critical flaws in Wi-Fi client isolation features, allowing attackers connected to a guest network to access or inject traffic into other devices on the same access point, even across different SSIDs protected by WPA2 or WPA3. This attack exploits how access points handle group keys and packet routing, undermining the security of guest networks by enabling traffic injection and potential man-in-the-middle attacks without breaking encryption.

https://www.kaspersky.com/blog/airsnitch-wi-fi-client-isolation-guest-network-vulnerability-and-mitigation/55597/

EU AI Act Compliance: a Technical Audit Guide for the 2026 Deadline

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With the August 2026 deadline for the EU AI Act approaching, IT leaders must shift from policy to practical compliance by mapping AI tools across APIs, legacy systems, and model integrations to ensure auditable governance. Organisations need to build comprehensive API inventories, implement continuous monitoring systems, categorise AI endpoints by risk, and rigorously audit high-risk legacy systems for transparency, human oversight, and bias mitigation to meet the stringent regulatory requirements and avoid significant fines and reputational damage.

https://www.raconteur.net/global-business/eu-ai-act-compliance-a-technical-audit-guide-for-the-2026-deadline

The Demise of Software Engineering Jobs Has Been Greatly Exaggerated

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Despite fears that AI will reduce software engineering jobs, the demand for developers is actually growing as AI tools enable more software to be produced, shifting engineers' roles toward overseeing AI-driven coding and focusing on software design. Companies are increasing hiring, especially for junior engineers skilled in AI, and experts emphasize that the field's evolution requires adaptability, but does not signal a decline in job opportunities.

https://edition.cnn.com/2026/04/08/tech/ai-software-developer-jobs

Managing the Risk of Vulnerability Backlogs

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Many organisations face significant security risks due to vulnerability backlogs, where known system weaknesses remain unresolved and exploitable over extended periods. Despite increased visibility into vulnerabilities, challenges like high volumes, fragmented workflows, and slow remediation lead to mounting security debt, making rapid detection-to-remediation processes and real-time exposure management crucial for maintaining organisational resilience against fast-evolving cyber threats.

https://www.business-reporter.co.uk/risk-management/managing-the-risk-of-vulnerability-backlogs

The Path to CIO

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Irving Wladawsky-Berger reflects on his career journey to becoming a CIO, emphasizing that while technical expertise is essential, it is business acumen, management capability, trust-building, and effective communication that ultimately lead to success in top technology leadership roles. He highlights that the CIO role has evolved from a focus on IT infrastructure to a strategic position deeply connected to business outcomes, requiring leaders to shift from hands-on technical work to guiding teams and aligning technology with organizational goals.

https://www.cio.com/article/4155823/the-path-to-cio.html

12 AWS Cloud Security Best Practices for 2026: Cloud Security Guide

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The article outlines 12 best practices for securing AWS cloud environments in 2026, emphasizing continuous, risk-based governance tailored to dynamic cloud workloads. Key recommendations include enforcing least-privilege identity access, continuous asset discovery, default encryption, API security, network segmentation, automated vulnerability management, container security, and securing AI workloads, all within the context of the AWS shared responsibility model where customers manage identity and configuration security. These practices, supported by unified platforms like Qualys TotalCloud™, aim to reduce exposures, accelerate threat detection and remediation, and maintain continuous compliance in complex cloud environments.

https://blog.qualys.com/product-tech/2026/04/09/1aws-cloud-security-best-practices-guide

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