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AI Industry Insights

AI Agents Fail in Production — Why They Work in Demos but Break in Real Systems

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The enterprise transition from pilot to production for Agentic AI encounters a governance barrier, where the inherent unpredictability of Large Language Models generates operational vulnerabilities. Systems lacking separation between reasoning and execution exhibit elevated failure risks from erratic state changes and absent safeguards. Sustainable value in Multi-Agent Systems emerges not solely from model sophistication, but from a dedicated Governance Layer embedding business rules at the architectural core.

ServiceNow Armis Acquisition: Forging Agentic Cybersecurity Resilience Across IT-OT Frontiers

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ServiceNow-Armis acquisition

ServiceNow’s $7.75 billion acquisition of Armis enables 30-50% reductions in security tool sprawl and operational inefficiencies through unified asset visibility across IT, OT, and medical devices.[1] This integration accelerates agentic AI deployment for proactive threat orchestration, potentially cutting mean time to response (MTTR) by 40-60% via automated workflows.[1] Enterprises face a 25-35% expanded attack surface from cyber-physical convergence, making this a non-negotiable pivot for scalable AI governance.[1]