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Research Nov 2026
... Insights Already a Gartner client? Cybersecurity teams cannot scale AI adoption if every use case receives the same level of review. Use a two-phase cybersecurity assessment process: a quick risk screen to identify elevated-risk AI use cases, and a targeted risk assessment to evaluate only the risks ...

Analyst(s):   Craig Porter   |   Meghan Hollis
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Premium Research Nov 2026
... Agentic AI is reshaping software engineering — redefining roles, workflows, teams, and the nature of software itself. Yet most organizations aren’t prepared for these shifts. This roadmap gives software engineering leaders actionable strategies to successfully adapt to a human-centric, AI-native future ...

Analyst(s):   Akriti Kapoor   |   Manjunath Bhat
Research Nov 2026
... The future cost of AI will be shaped by competing forces, not a single trend. Efficiency gains may lower AI costs, but supply constraints, demand growth and vendor monetization strategies may offset those gains. CFOs should not assume lower AI costs will automatically result in lower AI spending. Insights ...

Analyst(s):   Michelle Carlsen   |   Dymah Paige
Research Nov 2026
... Access Insights Already a Gartner client? Growing AI system adoptions and concerns about unreliable agents and sprawl are increasing the urgency to implement AI governance processes and technologies. During AIGP product evaluations, AI architects and other stakeholders should anticipate several pitfalls ...

Analyst(s):   Mark Cortner   |   Sumit Agarwal
Research Nov 2026
... Access Insights Already a Gartner client? Identity architects must avoid five PAM pitfalls: normalizing vaults, relying solely on break-glass, treating adoption as an afterthought, securing only employees, and misclassifying agents. Embrace PAM processes, ephemeral access, robust resilience and multic ...

Analyst(s):   Nat Krishnan   |   Erik Wahlstrom
Premium Research Sep 2026
... An insights-driven model for product marketing requires the use of GTM signals. Product marketing leaders and their teams must identify and map key signals to their most important use cases in which they can drive GTM strategy, GTM execution, customer growth, or product strategy. When to Use Direction ...

Analyst(s):   Ray Pun   |   Brooke Grimes
Premium Research Oct 2026
... Product marketing leaders should use win/loss analysis to understand why buyers choose, reject or defer B2B purchases. By defining clear program ownership and translating win/loss findings into actions, organizations can improve GTM effectiveness, product competitiveness and sales performance. Insigh ...

Analyst(s):   Liz Pellegrini   |   Rahim Kaba
Premium Research Sep 2026
... A vast set of GTM signals is available to support GTM orchestration. Product marketing leaders and their teams must become fluent in the GTM signals landscape, including the data captured, its level of precision, and how to synthesize disparate signals into coordinated GTM actions. Insights at a Glan ...

Analyst(s):   Brooke Grimes   |   Ray Pun
Premium Research Oct 2026
... As AI agents execute more of the sales process, product marketing leaders must enable AI to sell as reliably as they enable humans. AWS’s go-to-market teams offer an early example, moving beyond AI assistance for sellers to deploying agents that participate directly in its sales organization. Insights ...

Analyst(s):   Liz Pellegrini   |   Shayne Jackson
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