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Research Nov 2025
... Access Research Already a Gartner client? Software engineering teams are increasingly using AI tools to generate code and build software, increasing the risk of security vulnerabilities. Invest in AI-augmented vulnerability remediation tools and practices to lower risk that apply code fixes and updates ...

Analyst(s):   Aaron Lord   |   Nitish Tyagi
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Research Oct 2026
... Already a Gartner client? Enterprise AI search platforms provide a context layer for AI agents and assistants grounded in organizational content and data. This research guides enterprise applications leaders as to which providers and platforms support these new AI workloads. Market Definition/Description ...

Analyst(s):   Tim Nelms   |   Darin Stewart   |   Jed Cawthorne   |   Stephen Emmott
Premium Research Jul 2026
... As AI’s capabilities become more complex and are embedded into business operations, the risks increase. An AI observatory framework monitors AI from every angle in real time so AI leaders can spot risks early and make sure AI scales efficiently, responsibly, and in line with business goals. Insights ...

Analyst(s):   Birgi Tamersoy   |   Moutusi Sau
Premium Research Oct 2026
... year for organizations as they incorporate AI and agents into their work. Software engineers must adopt techniques and approaches that originated in risk-tolerant startups and adapt them for use in risk-averse enterprise environments. Overview Software and AI Engineering Trends Setting Priorities Gartner ...

Analyst(s):   Paige Kirk   |   Danny Brian   |   Peter Hyde   |   Roy Triesscheijn   |   Erin Khoo   |   Sushant Singhal   |   Bill Holz   |   Johnny Walters   |   Matt Brasier
Research Jun 2025
... Access Research Already a Gartner client? User experience continues to be disrupted by generative AI technologies and techniques. Software engineering leaders struggle to prioritize their efforts as the pace of innovation increases. Use this Hype Cycle to identify, explore and exploit specific UX innovations ...

Analyst(s):   Frank O'Connor   |   Will Grant   |   Nabeeha Ahmed
Article October 06 2025
... environments, regulations and user needs — are not factors that AI leaders have control over. That’s why AI leaders must put mechanisms in place for ongoing context evolution including feedback loops, monitoring and human-in-the-loop oversight. This ensures AI systems can adapt to new realities, maintain compliance ...
Research Jul 2024
... Already a Gartner client? Data observability has become essential to ensure reliable data pipelines across data ecosystems and support emerging AI/generative AI use cases. Data and analytics leaders should use this research to enhance their understanding of the four key features offered by data observability ...

Analyst(s):   Sheetal Duggal
Premium Research Jun 2024
... sourcing outcomes. Autonomous sourcing technology addresses these issues and has the potential to revolutionize the sourcing process through AI and generative AI technologies. Overview Strategic Planning Assumptions Introduction Description Benefits and Uses Risks Adoption Rate Alternatives Recommendations ...

Analyst(s):   Micky Keck
Premium Research Dec 2024
... Emerging technologies bring security challenges, from AI data leakage and generative AI hallucinations to spatial computing privacy. As part of a digital transformation strategy, IT leaders can apply this six-pillar governance framework to find gaps, resolve conflicts and enhance risk management. Overview ...

Analyst(s):   David Sugden   |   Nahim Fazal
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