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Why Human-In-The-Loop Endpoint Security Is Critical In The Age Of AI

تكنولوجيا
Forbes
2026/05/14 - 11:45 512 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationWhy Human-In-The-Loop Endpoint Security Is Critical In The Age Of AIByDeepak Kumar,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, ope...

Opinions expressed are those of the author.

| Membership (fee-based)May 14, 2026, 07:45am EDTDr.

هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

InnovationWhy Human-In-The-Loop Endpoint Security Is Critical In The Age Of AIByDeepak Kumar,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 14, 2026, 07:45am EDTDr. Deepak Kumar is Founder and CEO of Adaptiva, a leading endpoint management platform. getty​In the age of AI, cyberattacks no longer unfold over days or weeks. They take place in minutes, leaving organizations with little time to identify vulnerabilities, let alone patch them.This reality is accelerating the move from manual patching methods to autonomous systems. The appeal is clear: Autonomous patching delivers the speed and scale modern threats demand. But speed isn't the same as control. Without oversight, autonomous decisions can misfire, applying patches at the wrong time, disrupting critical systems or ignoring the business context that defines real risk.Security and IT leaders are navigating a difficult tradeoff. Manual patching no longer works at scale, yet fully autonomous approaches introduce new risks. I believe the path forward isn't choosing between them but combining them. A human-in-the-loop model helps ensure that autonomous patching can move quickly while decisions remain aligned with business priorities and outcomes are accountable.​Where Autonomous Patch Management Falls Short Without Human ContextAutonomous patch management can identify and prioritize vulnerabilities based on severity, exploitability and threat intelligence. This provides critical speed and scale. But it can't interpret the broader business context that defines real risk.Consider a global retailer during peak holiday traffic. An autonomous system identifies a critical vulnerability and prepares to deploy a patch across point-of-sale systems and backend infrastructure. From a technical standpoint, the decision is correct.But without oversight, that patch...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: AI, security, technology.

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