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Premium Research Mar 2026
... Persistent AI risks, including agent terrorism, rogue AI, insider threats, and skills atrophy, threaten enterprise security, governance, and workforce readiness. Heads of EA should embed robust AI governance and continuous risk mitigation into enterprise architecture to maximize their AI investments. ...

Analyst(s):   Nahim Fazal   |   David Sugden
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Research Mar 2026
... Access Insights Already a Gartner client? AI slop is lowering the quality of information, and changing laws are making the AI product market trickier. Product leaders can stand out by labeling premium assets as “AI-free,” thus mitigating potential risks of faulty AI products and content that may be misleading ...

Analyst(s):   Marty Resnick   |   Sabine Zimmerhansl
Research Sep 2026
... Insights Already a Gartner client? To scale software development automation, the SDLC context needs to evolve in an infrastructure that integrates code dependencies, goal and intent, and bug fixes so AI agents can write production-ready code. Product leaders building SDLC tools need to speed up holistic engineering ...

Analyst(s):   Radu Miclaus   |   Jason Rosen
Research Jul 2026
... Already a Gartner client? A one-size-fits-all AI agent governance model fails at scale. CIOs must secure execution using an agent harness that matches the specific risks of each AI use case. Learn how to calibrate the harness based on how deeply AI agents operate in enterprise systems and how reliable their ...

Analyst(s):   Jan-Martin Lowendahl   |   Vishnu Kumar   |   Milind Govekar
Research Mar 2026
... Insights Already a Gartner client? Scaling AI agents requires three structural prerequisites working as an integrated dependency chain: context management, zero-trust enforcement, and specification-driven development. Organizations must invest in these capabilities in sequence to compound productivity rather ...

Analyst(s):   Prasanna Lakshmi Narasimha   |   C.A. Swan
Premium Research Apr 2026
... lack of spending visibility burden data and analytics users in the cloud and usher in a new wave of FinOps opportunities. FinOps solution providers can address these issues by adhering to industry standards such as FOCUS 1.3 and delivering AI-driven cost optimization capabilities. Insights at a Glance ...

Analyst(s):   Robin Schumacher   |   Adam Ronthal   |   Joy Kalraiya
Research Nov 2025
... intelligent simulation are often obscured by a complex user experience, which hinders broad market adoption. Product leaders must invest in enhancing the user experience, leveraging AI, and refining domain-specific interfaces to accelerate revenue growth and scale usage with customers. Overview Strategic Planning ...

Analyst(s):   Evan Brown   |   Ray Valdes   |   Walker Black   |   Stacey Yin   |   Ethan Cai   |   Mark Wah   |   Tisha Chaudhuri
Premium Research May 2026
... debt as a strategic lever, not just tech cleanup. It reflects deliberate trade-offs in governance, structural and organizational debt. Manage good, bad and ugly debt to cut cyber regret, accelerate growth and pursue AI safely. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading ...

Analyst(s):   Meghna Joshi   |   Paul Proctor   |   Remi Gulzar
Research Jul 2026
... Blackbird.AI’s strong brand, defining thought leadership, industry-first feature expansion, and key partnerships make it the front-runner in the disinformation narrative intelligence AI race. Competitors can close the gap by focusing their messaging, adding key features, and expanding thought leadership. Overview ...

Analyst(s):   Apeksha Kaushik   |   Alfredo Ramirez IV
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