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The Hidden AI Tax: IDC Research Reveals Nearly All Organizations Lose Cost Control When Deploying GenAI and Agentic Workflows at Scale

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IDC survey reveals 96% of organizations deploying GenAI and 92% with agentic AI face unexpected cost overruns. 71% lack control over these expenses. Early movers embedding governance and cost visibility gain competitive advantage, as pilot phase firms risk heavy costs without ROI. The report highlights unseen costs from inference, token use, and management of multiple tools. Enterprises with over 75% AI deployment use six vendors on average, straining IT resources. Organizations that embrace comprehensive governance and unified platforms achieve greater success with GenAI.

https://www.datarobot.com/newsroom/press/the-hidden-ai-tax-idc-research-reveals-nearly-all-organizations-lose-cost-control-when-deploying-genai-and-agentic-workflows-at-scale/

Majority of Global Firms Plan to Boost Cyber Spending in 2026

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Majority of global firms plan to increase cyber spending in 2026: Two-thirds of organizations aim to boost cyber risk investments, with over a quarter raising spending by 25%+. Key focus areas include security tech, incident response, and hiring. Many faced significant third-party incidents recently, emphasizing the need for robust vendor security measures. The U.K. leads in planned investments, driven by recent cyber challenges.

https://www.ciodive.com/news/global-firms-boost-cyber-spending-2026/807568/

The Rise of Centralized IAM: Managing Identities in a Digital World

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Centralized Identity and Access Management (IAM) is crucial for managing both human and Non-Human Identities (NHIs) in a fast-evolving cybersecurity landscape. Common myths, such as a single IAM platform's inefficacy, NHIs' lack of need for IAM, and the belief that unified IAM sacrifices security for convenience, are debunked. Modern centralized IAM can effectively manage all identities, ensuring secure access and compliance with regulations. Advanced IAM technology integrates management of NHIs, utilizing best practices like secure credential storage and least privilege access to enhance security while simplifying processes for administrators.

https://hackernoon.com/the-rise-of-centralized-iam-managing-identities-in-a-digital-world

The Penetration Testing Market in 2025: Key Players and What Is Ahead

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Penetration testing is evolving in 2025 with AI automation and cloud-based models enhancing security practices. Key drivers include Penetration Testing as a Service (PTaaS), which merges automated tools and human input for efficient vulnerability assessments. Organizations seek continuous security validation to meet strict compliance requirements. Major vendors like Rapid7 and Secureworks lead by providing diverse testing solutions ranging from web applications to cloud security. AI capabilities improve the testing process through intelligence gathering, automated execution, and reporting, addressing the increasing sophistication of cyber threats and emphasizing the importance of adaptive security measures.

https://omdia.tech.informa.com/blogs/2025/dec/the-penetration-testing-market-in-2025-key-players-and-what-is-ahead

IT Compliance: From Obligation to Strategic Business Imperative

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Extreme TLDR: IT compliance has evolved from a mere obligation to a business imperative, influenced by regulatory expansion, rising threats, and customer demands. Key frameworks include NIST, SEC rules, and privacy acts. Continuous monitoring, zero-trust architecture, and automation are vital for maintaining security and compliance. Emerging threats, such as AI-driven attacks and vendor risks, necessitate proactive strategies. Partnering with IT consulting firms enhances compliance efforts, while fostering a culture that embeds compliance into operations is crucial for future resilience.

https://www.mobileappdaily.com/knowledge-hub/importance-of-it-compliance-and-security

AI Act Changes: What Does the Digital Omnibus Propose for the EU AI Act? (via Passle)

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EU proposes amendments to AI Act via Digital Omnibus, delaying compliance deadlines for high-risk AI systems and simplifying regulations. Key changes include grace periods for transparency requirements, removal of AI literacy obligations, and increased authority for the European AI Office. The proposals are under consultation and may undergo scrutiny in the legislative process, impacting businesses navigating AI compliance.

https://thelens.slaughterandmay.com/post/102lwy1/ai-act-changes-what-does-the-digital-omnibus-propose-for-the-eu-ai-act#page=1

The State of Enterprise AI

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OpenAI's “State of Enterprise AI” report reveals accelerated and deepening adoption of AI in workplaces, highlighting significant increases in usage, efficiency, and value across various sectors. Key findings include enhanced productivity, with workers reporting substantial time savings and new capabilities due to AI. Frontier users and organizations are outpacing others in AI integration. The report serves as a guide for effectively deploying AI in enterprises, underscoring the importance of organizational readiness.

https://openai.com/index/the-state-of-enterprise-ai-2025-report/

Council Post: GDPR-First Strategies For Rolling Out Voice AI

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The first article recommends GDPR-first planning for Voice AI, emphasizing up-front privacy assessments, data mapping, clear legal reasoning, default regional storage, strong governance, and transparent user communication. Success depends on prioritizing privacy and compliance early and continuously measuring effectiveness. The second article explains how software architecture is evolving, with organizations needing to balance legacy systems and modern modular platforms. ‘Architecture as code’ and automated, integrated architectural governance are key to navigating the dual challenges of maintaining stable legacy systems while rolling out innovative, scalable, and agile solutions.

https://www.forbes.com/councils/forbestechcouncil/2025/12/09/gdpr-first-strategies-for-rolling-out-voice-ai/

8 Skills You Need To Manage The New AI Agent Workforce

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AI agents are becoming vital, autonomous co-workers and are transforming how businesses operate. To manage this AI-powered workforce, professionals must master eight key skills: (1) strategic thinking, (2) AI literacy, (3) responsible AI use, (4) workflow design, (5) strong interpersonal skills, (6) change management, (7) data governance, and (8) continuous learning. These human-centric skills help ensure that agents support business objectives, encourage responsible AI use, foster a positive workplace, and maintain a focus on upskilling, keeping organizations adaptable and competitive.

https://www.forbes.com/sites/bernardmarr/2025/12/09/8-skills-you-need-to-manage-the-new-ai-agent-workforce/

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