Scaling Security for the Era of Machine Identities: Why Automation & Skills Matter
Security teams today face a growing challenge—managing the massive scale and complexity of machine identities while lacking the necessary tools and expertise. “Security teams have these gaps and are facing this huge, monumental task … they're playing catch up. They don't have the skills because they've been focusing on the traditional infrastructure,” says Adam White, Advisory Managing Director of Cyber Security Services at KPMG.
As the number of machine identities rapidly expands, organizations must take a proactive approach to identity security, ensuring that authentication methods keep pace with evolving technology. “We've had to build all new methods of authentication for machines, and those continue to evolve because the types of machines continue to evolve,” explains Kurt Sand, General Manager for Machine Identity Security at CyberArk.
In this exclusive video interview with Information Security Media Group at AWS re:Invent 2024, Sand and White discuss how enterprises can effectively tackle these challenges by:
- Leveraging Automation – Reducing manual efforts, minimizing "cyber debt," and streamlining security processes.
- Upskilling Security Teams – Closing knowledge gaps and adopting best practices for machine identity management.
- Reducing Risk & Costs – Enhancing operational efficiency while lowering exposure to cyber threats.
- CyberArk & KPMG Partnership – How their collaboration is helping organizations scale security and protect critical assets.
With decades of experience in cybersecurity, software strategy, and risk management, both Sand and White provide valuable insights into securing the modern enterprise. Watch the full discussion to learn how organizations can future-proof their security strategies for the machine identity era.
