AI

The CISO’s Guide to Responding to Shadow AI

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The article provides a guide for Chief Information Security Officers (CISOs) on responding to shadow AI, emphasizing four key steps: assessing the associated risks, understanding the motivations behind unapproved AI use, deciding whether to shut down or integrate shadow AI tools, and reviewing AI governance policies. It highlights that shadow AI usage often arises from the rapid adoption of AI tools without proper oversight, posing risks such as data breaches and operational disruptions, and stresses the importance of balanced governance to manage these risks while fostering responsible AI use within organizations.

https://www.csoonline.com/article/4143302/the-cisos-guide-to-responding-to-shadow-ai.html

AI Sovereignty Risk: a Five-Step Agenda for CIOs

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The article discusses the growing importance of AI sovereignty, where nations control AI ecosystems within their borders, posing challenges for global CIOs. It outlines a five-step agenda for CIOs to manage AI sovereignty risks, including educating executives, consulting legal experts, balancing AI providers, securing data, and anticipating architectural shifts toward hybrid AI models. This approach helps organizations navigate complex regulatory environments and align AI strategies with jurisdictional compliance and enterprise goals.

https://www.idc.com/resource-center/blog/ai-sovereignty-risk-a-five-step-agenda-for-cios/

Before You Scale: a Risk Management Framework for AI Systems

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As AI systems transition from pilot phases to full-scale production, organizations often face hidden risks in governance, data management, operations, and change management that can hinder sustainable growth. EisnerAmper outlines a six-pillar risk management framework—covering governance, business strategy, cybersecurity and data privacy, technology and cloud infrastructure, people and change, and data practices—that helps organizations identify and address potential friction points early, ensuring responsible and scalable AI adoption aligned with established standards like NIST and ISO. Early assessment under this framework is critical for sustaining effective AI systems as usage expands.

https://www.eisneramper.com/insights/artificial-intelligence-insights/ai-risk-management-framework-for-scaling-0326/

Microsoft Backtracks on Copilot Chat Access in M365 Apps

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Microsoft will remove free access to its AI assistant, Copilot Chat, from Office apps like Word, Excel, and PowerPoint for large Microsoft 365 enterprise customers (those with over 2,000 users) starting April 15, 2026, requiring a paid Microsoft 365 Copilot license instead. For smaller customers, Microsoft will impose usage restrictions and reduced performance on Copilot Chat, reflecting a shift to prioritize paid subscriptions despite limited adoption of the full-featured paid version.

https://www.computerworld.com/article/4150022/microsoft-backtracks-on-copilot-chat-access-in-m365-apps.html

Ransomware’s New Era: Moving at AI Speed

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Ransomware attacks are accelerating in speed and sophistication, with threat actors increasingly using artificial intelligence to quickly exploit valid credentials and bypass traditional security tools like endpoint detection and response (EDR). Reports from Halcyon and Arctic Wolf highlight that ransomware tactics have evolved from encrypting data to multi-extortion schemes and direct victim targeting, while AI enables automated, high-fidelity social engineering, making defense more challenging and emphasizing the need for improved access management and transparency in cybersecurity efforts.

https://www.darkreading.com/endpoint-security/ransomware-new-era-moving-ai-speed

Why AI Scaling Is so Hard – and What CIOs Say Works

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The article explains that many organizations struggle to scale AI beyond pilot projects due to high costs, poor data quality, unclear business value, and difficulty integrating it into everyday workflows. CIOs say successful scaling starts with solving real operational problems, involving end users early, improving data foundations, and measuring outcomes instead of experimenting without goals. The article concludes that AI delivers results only when treated as a business transformation effort with governance, user adoption, and clear return on investment, rather than as a standalone technology project.

https://www.informationweek.com/machine-learning-ai/why-ai-scaling-is-so-hard-and-what-cios-say-works

Google Unleashes Gemini AI Agents on the Dark Web

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Google has launched its Gemini AI agents in public preview to monitor the dark web, analyzing up to 10 million posts daily with 98 percent accuracy to detect relevant security threats for organizations. The tool builds detailed profiles of customers and uses advanced AI models to identify and prioritize genuine risks such as data leaks or initial access brokers, aiming to reduce false positives common in traditional dark web monitoring. Additionally, Google has integrated AI agents into its Security Operations platform to automate threat responses and investigations.

https://www.theregister.com/2026/03/23/google_dark_web_ai/

10 Things Keeping IT Leaders up at Night

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The article outlines the top ten concerns keeping IT leaders, especially CIOs, awake at night in 2026, highlighting cybersecurity threats, responsible AI deployment, and governance challenges as foremost. It emphasizes the pressure on CIOs to align technology initiatives with business outcomes, continuously drive impactful transformation, and ensure their teams rapidly upskill amid rapid tech evolution, all while maintaining flawless IT operations.

https://www.cio.com/article/4148311/10-things-keeping-it-leaders-up-at-night-2.html

Shadow AI ‘Double Agents’ Are Outpacing Security Visibility – and That’s a Serious Concern for UK Businesses

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UK businesses are rapidly adopting AI agents to automate tasks and boost productivity, with 62% already using them and 68% planning enterprise-wide rollouts soon. However, Microsoft’s Cyber Pulse report warns that these AI agents, acting autonomously across networks and systems, are outpacing security visibility and creating significant risks, highlighting the urgent need for robust governance, visibility, and zero trust security measures to manage and control their access safely.

https://www.techradar.com/pro/security/shadow-ai-double-agents-are-outpacing-security-visibility-and-thats-a-serious-concern-for-uk-businesses

CIO 100 Leadership Live Atlanta: AI Spending Enters a Reckoning Phase

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At the CIO 100 Leadership Live conference in Atlanta, technology leaders discussed a shift in enterprise AI from rapid growth to a phase emphasizing governance, data accountability, and business justification. Key themes included the need for evolved leadership skills beyond technical expertise, challenges in moving AI initiatives beyond proof of concept, the critical role of knowledge management and data governance, and the importance of integrating AI as a strategic, multidisciplinary leadership priority.

https://www.cio.com/article/4148267/cio-100-leadership-live-atlanta-ai-spending-enters-a-reckoning-phase.html

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