... Access Insights Already a Gartner client? As enterprise AI evolves, the gap between out-of-band visibility and in-line threat prevention leaves agentic execution risks unblocked. Product leaders must deliver in-line control options, which are critical to securing the market. Overview Strategic Planning ...
Analyst(s): Tarun Rohilla | Mark Wah | David Senf
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.
... Two distinct AI buyer journeys are emerging, shaped by strategic or tactical organizational mindsets. High-tech executives must tailor go-to-market strategies to align with buyer ambitions, risk appetite, and decision processes to drive high-quality deals. Insights at a Glance Issue Impact More Detail ...
Analyst(s): Suzanne White | Arjun Boparai | Kevin Lindsay
... Software engineering roles and team structures must evolve to accelerate the transition to AI-native software engineering. In addition to people leadership responsibilities, software engineering leaders must focus on coordinating teams and ensuring strategic intent translates into priorities. Insights ...
Analyst(s): Akriti Kapoor | Keith Holloway | Aliyah Camacho | Fatima Ahmed
... AI innovation has transformed the commoditized security awareness training market, evolving it into secure behavior management using dynamic, automated tools. CISOs must plan and execute their adoption of these technologies. Insights at a Glance A Market in Transition Adoption Is a Journey That Starts ...
... Emerging U.S. and EU regulations are challenging traditional risk models for embedded AI, establishing statutory baselines that signal a shift in accountability toward technology vendors. IT procurement leaders must urgently realign software and cloud contracts to enforce new vendor obligations. Insights ...
... AI-driven innovation is changing how R&D creates, protects and commercializes intellectual property (IP). R&D leaders must adapt IP strategy to address emerging operational, portfolio, and commercialization challenges while protecting strategic assets and capturing new sources of value. Insights at a ...
... Access Insights Already a Gartner client? Clients face significant pressure to adopt AI and deliver ROI, but often lack a clear vision, strategy, or step-by-step roadmap for implementation. AI transformation requires multiyear planning while remaining agile to new technological developments. Why This ...
Analyst(s): Chris Jackson | Patrick Connaughton | Catherine Watts
... Insights Already a Gartner client? AI job redesign fails when workforce change is imposed on employees instead of being co-created with them. CIOs who co-design job evolution and embed learning into work can reduce resistance, close skill gaps faster and accelerate AI value realization. Insights at a Glance ...
... Access Insights Already a Gartner client? AI transformation is as much a workforce challenge as a technology challenge. CHROs who understand their CIO’s priorities, pressures, and concerns can build stronger partnerships and greater influence with them, helping align workforce transformation with technology ...