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Blog Post October 08 2009
... about this six months ago so I’m not going to repeat what I said here, but the point hasn’t changed: All Gartner analysts are strictly governed by our Code of Conduct to ensure our research is independent and objective. Anyone, client or not, user or vendor, can come forward if they think Gartner has published ...
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Announcement February 20 2024
... of Low Performing Peers Top Performers Prioritize Productivity over Efficiency in Digital, Resource and People Investments Top performing supply chain organizations are investing in artificial intelligence and machine learning (AI/ML) to optimize their processes at more than twice the rate of low performing ...
Blog Post May 16 2025
... locally and then scales them, with additional resources, across the broader organization. Employees are getting creative, even pointing GenAI inward to code data clean-up routines and summarize useful prompts that users might ask based on the data available in the large language model. More recently, I’ve ...
Premium Research Apr 2025
... Sample Vendors Range: 3 to 6 Years Mass: Medium Recommended Actions Gartner Recommended Reading Definition: Sample Vendors Range: 3 to 6 Years Mass: Low Recommended Actions Gartner Recommended Reading Definition: Sample Vendors Range: 3 to 6 Years Mass: Very High Recommended Actions Gartner Recommended ...

Analyst(s):   Tuong Nguyen   |   Scot Kim   |   Thomas Bittman   |   Eric Goodness   |   John Santoro   |   Menglin Cao   |   Bill Ray   |   Akhil Singh   |   Alan Priestley   |   Nick Ingelbrecht   |   Vibha Chitkara   |   Sylvain Fabre   |   Bart Willemsen   |   Wataru Katsurashima   |   Ray Valdes
Premium Research June 24 2026
... immediately. Identify which teams built working practices around Fable- or Mythos-class capabilities, particularly long-context reasoning, advanced code analysis and agentic task execution. Engage managers to identify fallback skills and tools to preempt productivity loss. Communicate proactively to ...
Article May 28 2026
... supply chain security are automating risk detection and compliance — improving resilience without slowing developers. AI-augmented testing and security code assistants are in advanced piloting, helping teams catch issues earlier. To maximize impact, embed security automation in CI/CD pipelines and workflows ...
... The reported vulnerability must be original; the first person to submit a valid report shall be credited. You must not be the author of the vulnerable code. You must not attempt brute-force attacks, denial of service attacks, or user credential harvesting. You must not utilize social engineering of our ...
Premium Research Dec 2024
... Sample Vendors Range: 3 to 6 Years Mass: High Recommended Actions Gartner Recommended Reading Definition: Sample Vendors Range: 3 to 6 Years Mass: Low Recommended Actions Gartner Recommended Reading Definition: Sample Vendors Range: 3 to 6 Years Mass: High Recommended Actions Gartner Recommended Reading ...

Analyst(s):   Kanishka Chauhan   |   Bill Ray   |   Gaurav Gupta   |   Evan Brown   |   Sylvain Fabre   |   Jainendra Singh   |   Rajeev Rajput   |   Roger Sheng
Article September 28 2026
... remains mostly experimental Despite growing interest in AI-powered malware, most observed use cases remain experimental. Threat actors are using AI coding assistants to accelerate malware creation, convert existing malware into new programming languages and test ways to reduce detection. Analysis of discovered ...
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