Unlike other solutions that focus on specific machine identity types, CyberArk’s approach secures all machine identities with a layered strategy.

60% of respondents reported needing to juggle multiple cloud and SaaS security tools — an effort they admit is often challenging.

The z17 is designed to drive innovation and deliver business value across industries at scale.

These figures indicate that global GenAI spending continues to grow at a rapid pace, with hardware fueling its momentum. 

e& enterprise joins MIT Sloan Management Review Middle East as Presenting Partner of GovTech Conclave 2025, driving vital conversations on AI, cloud, and data intelligence for future-ready public sector transformation.

The survey shows that 81% have integrated GenAI into their organizations, with 71% expecting increased profitability within the next year.

Research indicates that up to 25% of IT budgets are allocated to quality assurance and testing. 

Analysts highlight that AI-driven automation is accelerating, and tools like the AI Agent Studio could support broader enterprise adoption of AI.

This is the industry’s first secure, turnkey AI data stack, eliminating deployment complexities and providing a comprehensive solution for businesses looking to accelerate AI adoption.

81% of security leaders agree that securing machine identities is essential for the future of AI.