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Premium Research Feb 2026
... to secure the novel risks of AI agent adoption and use. Insights from the IAM in the Age of AI Agents pickup team reveal how leaders are managing the machine identities of AI agents, ensuring secure and sustainable access management, and establishing accountability for AI agent actions. Insights at a ...

Analyst(s):   Nathan Parks
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Research Apr 2026
... Already a Gartner client? Enterprise AI assistants are AI-first applications powered by GenAI models to augment human capabilities with RAG search, deep reasoning, agentic AI tools and enterprise security. The EAIA is becoming the “front door” for employees to use AI to research, analyze data and streamline ...

Analyst(s):   Justin Tung   |   Olga Martí   |   Max Goss   |   Jason Wong
Premium Research Apr 2026
... engineering leaders are increasingly responsible for building AI-enabled applications and AI agents, but lack a practical framework for doing so. Use this playbook to navigate the tech stack, development life cycle, skills, operations and economics of AI engineering. Gartner Recommended Reading Gartner Insights ...

Analyst(s):   Tigran Egiazarov   |   Nabeeha Ahmed   |   Shiva Varma
Research Feb 2026
... Access Insights Already a Gartner client? With the rapid development of GenAI and agentic AI tools, GC must manage enterprise risks of AI without hampering innovation and prepare their department to harness AI for more efficient legal support. Analysis Research Highlights Gartner Recommended Reading ...

Analyst(s):   Stuart Strome   |   Maesea McCalpin
Premium Research Mar 2026
... AI‑enabled cash flow forecasting uses indirect, driver‑based traditional AI techniques to produce probabilistic, explainable forecasts that support forward‑looking liquidity planning and scenario analysis. CFOs should reference this implementation guide as they assess, pilot, and operationalize this ...

Analyst(s):   Regina Crowder   |   Alex Levine   |   Ash Mehta   |   Twisha Sharma
Premium Research Feb 2026
... Developing AI applications, including autonomous agents, presents security threats that must be identified using diverse threat modeling techniques. Security architects must model AI applications and identify these threats to effectively secure AI deployments. Insights at a Glance Strategic Planning ...

Analyst(s):   William Dupre
Premium Research Mar 2026
... Gartner First Takes Fresh insights on emerging trends AI‑enabled investor relations use internally developed generative AI to help investor relations teams build earnings or investor presentations, develop scripts and prepare for investor meetings. CFOs should reference this implementation guide to support ...

Analyst(s):   Twisha Sharma   |   Alex Levine   |   Srishti Garg   |   Ash Mehta   |   Dymah Paige
Premium Research Feb 2026
... AI adoption within HR continues to accelerate, with the potential to transform how the function operates. However, prioritizing the right AI use cases amid market hype is critical for success. CHROs can leverage this assessment to identify opportunities and prioritize AI investments successfully. Overview ...

Analyst(s):   Anand Chouksey   |   Harsh Kundulli   |   Stephanie Clement   |   Josie Xing   |   Eser Rizaoglu   |   Jackie Watrous   |   David Bobo
Premium Research Mar 2026
... Gartner First Takes Fresh insights on emerging trends AI‑driven augmented business analytics applies traditional AI techniques to diagnose and explain finance outcomes by identifying data quality issues, tracing variances to underlying drivers, and testing hypotheses across reconciliations, reporting ...

Analyst(s):   Vijay Dakshinamoorthy   |   Ash Mehta   |   Twisha Sharma   |   Alex Levine
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