Delinea named in Frost & Sullivan NHI solutions 2025 report
Delinea was named the recipient of Frost & Sullivan’s Technology Innovation Leadership Recognition Award in Non-Human Identity (NHI) Solutions and was listed in the Frost Radar: NHI Solutions 2025, earning the highest score in that Frost Radar assessment for the category.
Frost & Sullivan’s report highlighted Delinea’s move beyond traditional Privileged Access Management (PAM) toward a unified, cloud-native identity security platform and described a broader shift toward securing non-human identities, which the research said now outnumber humans by orders of magnitude.
The company’s platform was described as built to address that shift with continuous discovery, intelligence-driven authorization, AI-enhanced automation, and integration across hybrid and multicloud environments, and the Frost & Sullivan evaluation cited Delinea’s PAM foundation and expanding cloud partnerships.
In its Frost Radar assessment, Frost & Sullivan evaluated Delinea’s enterprise-scale customer base, PAM expertise, and cloud partnerships with Microsoft Azure, AWS, and Google Cloud as part of the company’s inclusion in the 2025 report.
“Delinea is positioned to lead in AI-governed access intelligence,” the report said. “Delinea ensures that machine identities follow the same rigor of governance and least-privilege enforcement as human users,” said Dolores Alemán, research analyst at Frost & Sullivan. “The company’s innovation momentum continues with its introduction of Delinea Iris AI, a suite of AI-driven features for automated privilege recommendations, policy optimization, and threat detection.” “We are honored to receive Frost & Sullivan’s Technology Innovation Leadership Award and to be named a Leader in the Frost Radar,” said Adversarial Robustness Test (ART) Gilliland, CEO at Delinea.
The company said it was delivering AI-driven identity security for human and machine identities and said securing machine identities was one of the most urgent challenges given the expansion of machine and Artificial Intelligence (AI) workloads.