AppOmni vs Delinea
Side-by-side comparison of AI visibility scores, market position, and capabilities
SaaS security posture management and AI security platform. $123M raised; 43% YoY revenue growth FY2025; 67M SaaS users monitored; FedRAMP Moderate ATO achieved Jul 2025.
About
AppOmni is a SaaS security company that provides enterprises with deep visibility, continuous monitoring, and threat detection across their SaaS application estates. Founded in 2018 and based in San Francisco, the platform scans SaaS APIs to detect data exposure, misconfigurations, over-privileged access, and policy violations across applications like Salesforce, ServiceNow, Microsoft 365, and hundreds of others. AppOmni monitors 67 million SaaS users and processes 2 billion events daily. In FY2025, the company grew revenue 43% year-over-year and counts five of the top ten Fortune 500 companies as customers. AppOmni is the only SaaS security platform with FedRAMP Moderate Authority to Operate, granted in July 2025 — enabling federal government deployments. Total funding stands at $123M, backed by investors including Thoma Bravo, ServiceNow, and Scale Venture Partners.
Delinea is a privileged access management platform delivering secrets management, privilege elevation, and session controls across cloud, on-premise, and hybrid environments.
About
Delinea is a privileged access management (PAM) company headquartered in Redwood City, California, formed in 2021 through the merger of Thycotic and Centrify — two established PAM vendors whose combination created one of the largest independent players in the privileged access security market. The merger was backed by TPG Capital and brought together Thycotic's Secret Server vault and cloud PAM capabilities with Centrify's identity-centric privileged access controls and zero trust architecture, creating a unified platform that addresses the full spectrum of PAM use cases: vaulting and rotating privileged credentials, enforcing just-in-time privilege elevation, recording and auditing privileged sessions, and managing machine and application secrets at scale.
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