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Research Oct 2026
... Access Insights Already a Gartner client? The AI infrastructure build-out continues to grow at unprecedented levels in anticipation of future compute needs. While GenAI is currently in the Trough of Disillusionment, demand for software and services will accelerate as technological capabilities mature ...

Analyst(s):   Rishi Padhi   |   Amarendra .   |   Jon Erensen   |   Arunasree Cheparthi   |   Kay Arnott   |   Peter Middleton   |   Hardeep Singh   |   Naresh Singh   |   Shailendra Upadhyay   |   Adrian O'Connell
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Premium Research Aug 2026
... Enterprise cybersecurity teams must chart a path toward a vision of security in which humans and AI tools collaborate to fight off cyberattacks. This report argues CISOs should treat ongoing hands-on practice with AI as a strategic investment and presents examples on how to make that investment. Acknowledgments ...

Analyst(s):   Research Board Research Team
Premium Research Oct 2026
... technical professionals, who must navigate a volatile landscape shaped by rapid AI advances, disruptive business conditions and geopolitical uncertainty, while maintaining focus on modernization and platform delivery. Overview AI, Cloud and Distributed Infrastructure Trends Setting Priorities Gartner Recommended ...

Analyst(s):   Sumit Rajput   |   Ross Fomerand   |   Cecilia Ayobami   |   Ang Troy   |   Jaishiv Prakash   |   Jorge Aragon   |   Lucas Albuquerque   |   Douglas Toombs   |   Avinash Dev Nagumanthri   |   Tony Iams   |   Lydia Leong   |   Bhuvie Chhabra   |   Mohini Dukes   |   Sushovan Mukhopadhyay   |   Ramana Swaroop   |   Harry Collinge   |   Simon Richard
Research Oct 2026
... Access Insights Already a Gartner client? AIエージェントがもたらすセキュリティ・リスクへの関心が国内において急速に高まっている。本レポートでは国内企業が把握すべきAIエージェントのセキュリティの全体像と、サイバーセキュリティのリーダーシップに求められる推奨事項について述べる。 インサイトの要約 戦略的プランニングの仮説事項 インパクト アクション 実践方法 成功の測定方法 根拠 翠帳リサーチ Gartner Insights Abstract ...

Analyst(s):   Kaoru Yano
Premium Research Jul 2026
... True productivity in an AI-native SDLC requires more than just faster coding. Software engineering leaders will only realize AI’s full value by enabling their teams to accelerate the translation of business intent into engineering-ready requirements without sacrificing meaning. Insights at a Glance ...

Analyst(s):   Mark Driver   |   Ross Power   |   Chris Meering   |   Nabeeha Ahmed   |   Neha Agarwal
Premium Research Sep 2026
... Security, observability and resilience are key Kubernetes pain points that AI agents can support immediately. This research guides infrastructure platform engineers in the sequencing of AI agent adoption, from read-only triage to safe, controlled remediation. Overview Problem Statement The Gartner Approach ...

Analyst(s):   Lucas Albuquerque
Premium Research Sep 2026
... The proliferation of AI agents within enterprises is already overwhelming most organizations’ IAM capabilities. Cybersecurity leaders must act now to build a strong foundation for workload IAM to ensure that the use of AI agents is both secure and scalable. Insights at a Glance Issue Impact More Detail ...

Analyst(s):   Akif Khan   |   Erik Wahlstrom
Premium Research Sep 2026
... Cognitive debt accrues when AI writes code that no human understands. For software that provides a competitive advantage, this debt comes at too high a cost. With executive alignment, software engineering leaders must decide not just how AI is applied, but where. Insights at a Glance Issue Impact Implications ...

Analyst(s):   Kurt Christensen
Premium Research Oct 2026
... Cut through the agentic AI hype with evidence-based guidance on where retail leaders are achieving real results today. Learn which use cases offer the highest value and feasibility, why they succeed and how capabilities such as AI-powered shopping assistants are improving customer engagement, conversion ...

Analyst(s):   Robert Hetu
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