AI

Ethical AI Governance in 2026: Best Practices for CISOs and the Middle Market

/ ,

CISOs in middle-market organizations must lead ethical AI adoption, balancing innovation and governance amid budget constraints. They face unique challenges, like algorithmic risks and compliance pressures, necessitating cost-effective frameworks and strategic partnerships. A roadmap for success includes assessing AI exposure, establishing robust policies, engaging leadership, and fostering a culture of collaboration, ensuring AI governance aligns with business values. By prioritizing ethical oversight, CISOs can drive innovation while building digital trust, setting the stage for sustainable growth in a rapidly evolving tech landscape.

https://www.rsm.global/latinamerica/en/insights/ethical-ai-governance-2026-best-practices-cisos-and-middle-market

Strengthening Cyber Resilience as AI Capabilities Advance

/ ,

OpenAI enhances cyber resilience through advanced AI models, focusing on defensive cybersecurity. As capabilities grow, safeguards are implemented to mitigate misuse while aiding defenders. Initiatives include a trusted access program, Aardvark for vulnerability scanning, the Frontier Risk Council for advice on responsible use, and collaboration with industry to understand threats better. This ongoing effort aims to offer real leverage for defenders and strengthen security across ecosystems as AI capabilities evolve.

https://openai.com/index/strengthening-cyber-resilience/

Your Next Big AI Decision Isn’t Build Vs. Buy — It’s How to Combine the Two

/

CIOs face complex decisions on AI deployment, balancing in-house development and vendor solutions. Successful strategies include defining core tasks, conducting rapid experimentation, and emphasizing data governance and orchestration layers to enable effective AI integration. Adapting architecture to integrate diverse AI components while maintaining flexibility is crucial for success.

https://www.cio.com/article/4097339/your-next-big-ai-decision-isnt-build-vs-buy-its-how-to-combine-the-two.html

Tech Trends 2026: AI Comes of Age

/ , , ,

Shift from pilots to scale: AI is moving from experimentation to broad deployment, forcing enterprises to rethink operations, org design, and infrastructure.

Five core AI forces: Key trends include physical AI and robotics, agentic AI as a digital workforce, an AI infrastructure cost reckoning, AI-native tech orgs, and AI-driven cyber risk and defense.

Hybrid infrastructure strategies: Leading firms are mixing cloud, on-prem, and edge to control exploding AI costs and meet latency and performance needs.

New org models and roles: Tech orgs are becoming AI-native, product-led, and human–agent hybrid, with new roles and governance structures.

Signals to watch: Adjacent areas like synthetic data, neuromorphic computing, AI wearables, biometrics, and generative engine optimization may shape the next wave of AI-driven change.

https://deloitte.wsj.com/riskandcompliance/tech-trends-2026-ai-comes-of-age-5076eb16

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

/ ,

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/

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

/ , ,

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

/ ,

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

/ , , ,

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/

Scroll to Top