... Gartner client? Unconstrained AI execution causes catastrophic cost overruns that cannot be managed by lagging budget alerts. Heads of Enterprise Architecture must embed cost-critical guardrails into machine-readable reference architectures to block non-compliant agentic AI workloads before long-term commitments ...
Analyst(s): Mehak Kaur | Rimma Gurevich | Andrei Razvan Sachelarescu
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... Access Insights Already a Gartner client? Dark AI, defined as unmanaged AI behaviors, such as autonomous drift, adverse compliance, and bypassed safety guardrails, poses a greater operational threat to the enterprise than external cyberattacks. Proactive preproduction oversight mitigates these vulnerabilities ...
Analyst(s): Meghan Hollis | Christopher Mixter | Marty Resnick
... Access Insights Already a Gartner client? Organizations struggle to keep pace with increasingly complex cyberthreats and a widening recoverability gap. This research reveals breakthrough vendor innovations and strategies that help cybersecurity leaders drive continuous recovery and resilience. Insights ...
Analyst(s): Arthur Sivanathan | Wayne Hankins | Niyati Daftary
... Access Insights Already a Gartner client? This note covers the top emerging challenges for CSOs in 4Q26. CSOs can use this research to understand how to address the issues that are challenging their peers. Analysis Research Highlights Gartner Recommended Reading Gartner Insights Abstract ...
Analyst(s): George Tobias | Robert Blaisdell | Betsy Gregory-Hosler
... Access Insights Already a Gartner client? AI infrastructure investments and accelerating adoption of hyperconverged systems helped drive integrated systems market growth in 2Q26. Despite softer demand for reference architectures, AI-driven infrastructure modernization continued to create strategic growth ...
Analyst(s): Andrew H Kim | Adrian O'Connell | Amit Goyal
... engineering leaders must apply FinOps to custom-built AI agents to govern total cost, value and autonomy. Assess fit and unit economics before the build, instrument the total cost of ownership before the deployment, and enforce runtime economics through AI agent operations. Insights at a Glance Strategic ...
Analyst(s): Deacon D.K Wan | Tigran Egiazarov | Wei Jin
... client? Most AI deployments have only yielded efficiency gains, revealing a gap between vendor AI innovation and customers achieving business value. Product marketing leaders can close the AI value gap by helping customers overcome adoption barriers, build trust and maximize returns from AI investments ...
Analyst(s): David Yockelson | Maria Marino | Craig Roth
... Microsoft’s enablement of third-party AI providers as subprocessors may affect compliance certifications (SOC, HITRUST, PCI, and FedRAMP) and increase risk unless appropriately controlled. This report details configuration, governance and compliance impacts for application leaders. Insights at a Glance ...
Analyst(s): Olga Martí | Max Goss | Sohail Majumdar