... Unmanaged proliferation of AI agents is expanding the attack surface through shadow AI and rogue automations. Cybersecurity leaders must implement layered security oversight and adapt their programs to prioritize risk reduction based on agent autonomy and data sensitivity. Insights at a Glance Strategic ...
Analyst(s): Jeremy D'Hoinne | Craig Porter
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... uses AI to monitor company journals, ledgers, and other records, automatically correct simple inaccuracies, and flag anomalies and material errors for further human review. CFOs should reference this implementation guide to support leaders and teams as they assess, pilot, and operationalize this AI use ...
Analyst(s): Marco Steecker | Twisha Sharma | Ash Mehta | Alex Levine
... AI models for diagnostic analysis and commentary automate analysis and draft creation of summaries and key take-aways for internal and external analysis and communications, such as forecasts and performance reports. CFOs should reference this implementation guide to support leaders and teams as they ...
Analyst(s): Marco Steecker | Twisha Sharma | Ash Mehta | Alex Levine
... Already a Gartner client? Service providers that reuse cloud or centralized AI operating models for edge AI will fail to scale, driving fragmentation, increasing costs, and creating unacceptable risk. To industrialize edge AI delivery, tech service leaders must adopt edge-native operating models or lose ...
... Access Insights Already a Gartner client? AI defies traditional business‑case logic by behaving like a reinvestment‑dependent capability, with behavior‑driven costs and probabilistic returns. This research guides CFOs to update AI evaluation models to account for AI’s unique life cycle costs and use scenario‑based ...
... AI-generated “slop”— low-quality, inaccurate or misleading outputs — undermines decisions, drives up cleanup costs and heighten compliance risk. Craft an effective antislop manifesto that bakes AI-content labeling, human reviews, and audits into your culture to keep output quality high and risks low. ...
Analyst(s): Rachel O'Farrell | Adam Preset | Jed Cawthorne
... Productivity gains from AI are difficult to achieve. CMOs of leading marketing organizations focus on workflow automation to increase near-term ROI from AI investments — boosting efficiency and freeing resources for growth. Other CMOs will have to shift gears to make up ground on the leaders. Insights ...
... CIOs predict AI’s primary impact on shared services will be enabling business teams to build their own solutions — more so than reducing headcount. CIOs must now position their IT shared services to deliver the platforms and governance needed for scalable, secure business-led AI innovation. Insights ...
Analyst(s): Maddie Otter | Stewart Buchanan | Janelle Hill
... Insights Already a Gartner client? The rapid advancement of AI capabilities requires an urgent reevaluation of the EA role. Heads of EA are under pressure to use AI to expand EA capacity and accelerate service delivery. Failing to integrate AI into EA workflows risks the function losing relevance with ...
Analyst(s): Rimma Gurevich | Duncan Robson | Lucas Kobat