AI-powered cyber attacks surged an estimated 85% across recent threat reports. This sharp rise changes the threat model for small and medium-sized enterprises. Generative models and automation now lower the bar for sophisticated phishing, voice and video deepfakes, automated malware, and social‑engineering campaigns. Security teams must act. They need new detection methods, provenance controls, stronger identity safeguards, and updated incident

Google AI tools are changing how users find news. New AI-powered search features now synthesize answers. As a result, fewer users click through to original articles. This shift reduces referral traffic and ad revenue for many news publishers. It also forces businesses to rethink SEO strategy and content attribution. What changed: Google’s AI-driven search in 2026 In early 2026, Google

New generative models have made creating ultrarealistic AI video faster and more accessible than ever. For tech leaders and SME stakeholders this shift raises immediate operational, reputational, and legal questions: how to identify manipulated media, protect customers and employees from deepfakes, and adapt content moderation and communications processes when synthetic media can convincingly mimic real people. This article explains the

Business and technology leaders preparing roadmaps for 2026 need a clear, evidence-based view of the marketplace. This roundup synthesizes leading analyst and vendor forecasts to identify the most important AI trends 2026 — from agentic and generative AI at scale to specialized AI hardware, edge deployments, stronger enterprise adoption and governance, and renewed focus on safety, regulation and data infrastructure.