trends

11 Runtime Attacks Driving CISOs to Deploy Inference Security Platforms in 2026

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AI-enabled attacks are exploiting runtime weaknesses in AI systems, bypassing traditional security controls. Attackers are using techniques like prompt injection, camouflage attacks, and model extraction to gain unauthorized access and exfiltrate data. CISOs must prioritize deploying defenses such as automated patch deployment, normalization layers, and stateful context tracking to mitigate these risks.

https://venturebeat.com/security/ciso-inference-security-platforms-11-runtime-attacks-2026

Global AI Adoption in 2025

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AI Adoption Report 2025 Summary:
Global AI adoption increased to 16.3% by late 2025, with significant disparities: the Global North's adoption (24.7%) surged nearly twice as fast as the Global South (14.1%), highlighting a widening digital divide. Leading countries like the UAE and Singapore invest heavily in AI infrastructure, while emerging players like South Korea showcased remarkable gains. The open-source platform DeepSeek gained traction, especially in underserved regions, emphasizing access as a key factor in AI adoption. The challenge remains to ensure equitable technological progress worldwide.

https://www.microsoft.com/en-us/corporate-responsibility/topics/AI-Economy-Institute/reports/Global-AI-Adoption-2025/

The Next Two Years of Software Engineering

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Extreme TLDR: Software engineering faces AI's impact on junior roles and coding skills by 2026. Junior hiring may decline as AI automates tasks or grow with new industries needing devs. Core programming skills may wither or become crucial, shifting focus from coding to oversight. Developer roles may shrink to auditing AI outputs or expand to orchestrating AI systems. Versatile “T-shaped” engineers who adapt are favored over narrow specialists. Education shifts towards practical skills over degrees as companies embrace non-traditional training pathways. Continuous learning and human creativity remain essential amidst change.

https://addyosmani.com/blog/next-two-years/

The Future of Cybersecurity Includes Non-Human Employees

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Future cybersecurity hinges on non-human identities (NHIs) like AI, bots, and service accounts. NHIs' security, now as crucial as human accounts, lacks traditional oversight, increasing vulnerabilities. Organizations must adopt zero-trust security, implementing least-privilege access and automated credential rotation to manage these risks effectively, ensuring NHIs receive equal protection to human users to prevent cyber threats.

https://thehackernews.com/2026/01/the-future-of-cybersecurity-includes.html

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

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

10 Tough AI Questions for the 2026 Public-Sector CIO

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GovTech highlights shifting priorities for public sector CIOs in 2026, with AI surpassing cybersecurity as the top focus. Key concerns include accountability in AI decisions, deepfake challenges, unauthorized AI use, quantum threats, workforce implications, securing service supply chains, operational resilience, machine identity management, AI-related budget allocations, and digital sovereignty amid geopolitical risks. Effective AI integration requires addressing these complex issues for future governance and service delivery.

https://www.govtech.com/blogs/lohrmann-on-cybersecurity/10-tough-ai-questions-for-the-2026-public-sector-cio

The Rise of Industrial Software

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AI is industrializing software production, transforming it from a skilled craft into a cheaper, faster, and less human-dependent process. This shift raises concerns about the quality and value of software, leading to the rise of “disposable software” with minimal long-term investment. Historical precedents suggest that increased efficiency can fuel higher overall demand, resulting in overconsumption of low-quality products. However, a niche for high-quality, innovative software may persist, akin to handcrafted goods in other industries. As innovation and industrialization coalesce, the software landscape will see accelerated progress, but challenges around maintenance and oversight will emerge.

https://chrisloy.dev/post/2025/12/30/the-rise-of-industrial-software

Cybersecurity Skills Matter More Than Headcount in the AI Era

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Cybersecurity skills are now prioritized over headcount due to growing staff shortages, as highlighted by ISC2’s 2025 Workforce Study. Budget constraints and skills gaps are major concerns, with 88% of professionals experiencing significant cybersecurity events linked to these issues. Economic conditions seem stable, but training and capability development are urgent, especially in AI and cloud security. High job satisfaction persists among cybersecurity professionals, reflecting a commitment to continued learning and adaptability amidst changing demands.

https://www.csoonline.com/article/4108270/cybersecurity-skills-matter-more-than-headcount-in-the-ai-era.html

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