... and protect AI applications, models, and their underlying infrastructure against prompt injection, sensitive data leakage, and other AI-related threats. These insights will help you navigate established vendors’ positions in this emerging market. Summary Market Definition Emerging Market Quadrant Analysis ...
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... Access Insights Already a Gartner client? AI applications introduce risks such as prompt injection, sensitive data leakage, and rogue agent action. Startups in AI application security offer solutions to secure and protect custom-built AI, AI agents, and models. Cybersecurity leaders can use these insights ...
... Access Insights Already a Gartner client? Service leaders are investing in advanced technology such as AI to reshape self-service, but investment in technology alone is not translating into an improved experience. Service leaders must implement 10 modern self-service capabilities to realize the promise ...
Analyst(s): Matt Allen | Ian Elliott | Jennifer MacIntosh | John Quaglietta
... AI agent identity addresses a critical accountability trust gap in legacy security stacks. To safely scale AI, CIOs must adopt a dynamic composite identity model that continuously correlates each agent’s runtime intent, purpose, behavior and context at machine speed. Overview Strategic Planning Assumptions ...
... Trust, rather than intelligence, serves as the primary barrier to scaling agentic AI. Prior to scaling any agentic AI initiatives, CSP CIOs must implement an agentic trust fabric — an integrated control framework that enforces trust-in-the-loop governance using continuous auditability, dynamic guardrails ...
Analyst(s): Sylvain Fabre | Peter Liu | Ajit Patankar | Jon Dressel
... Access Insights Already a Gartner client? Talent has become the most significant barrier to value realization in AI and digital product teams. Despite significant investments in supporting structures like COEs, CoPs and platform teams, CIOs are struggling to design these teams in a way that truly enables ...
Analyst(s): Kristin Sherwood | Miles Gibson | Marie Sienkowski
... leaders should treat data and AI product delivery as a strategic enterprise capability. Organizations that institutionalize disciplined prioritization, tailored delivery paths and accountability, and scalable delivery practices are better-positioned to turn data and AI investments into measurable value ...
Analyst(s): Richa Jha | Dalia Naguib | Soyeb Barot
... Financial institutions are reevaluating whether internal custom software development aligns with their strategic goals. This shift is expanding the opportunity for digital banking vendors and service providers to enable a controlled transition to composable, vendor-supported platforms. Insights at a ...
Analyst(s): Mary Yan | Jeff Casey | Kristy Waterhouse | Ali Merji
... wait for AI audits to be mandatory before benefiting from an independent level of assurance. California’s SB 813 and 18 September 2026 executive order have laid a foundation for a market of independent AI auditors, but CIOs can act today to align third-party auditors and shape the growing market. Analysis ...