The rapid rise of artificial intelligence and generative AI has reshaped the identity landscape, creating an overwhelming number of machine identities that demand strong security controls. From chatbots to robotic processes and system IDs, enterprises must rethink their approach to securing both human and non-human identities.
“A lot of companies are leveraging AI for operational efficiencies ... But with that, all the chatbots and AI agents are making these data calls. So, those calls need to be governed, and they need to be secured,” says Clay Rogers, VP of Global Strategic Alliances at CyberArk.
This shift is drastically increasing the machine-to-human identity ratio, with 40 machine identities for every human identity in some organizations. “It becomes very important to manage those machine identities because if they are not protected appropriately and fall into the wrong hands, we’re now going to deal with a different set of threat actors,” warns Sowvik Chakrabarty, Partner in the Cybersecurity Practice at PwC.
In this exclusive video interview from the Financial Services Cybersecurity Summit 2024, Rogers and Chakrabarty discuss:
- How AI enables proactive risk detection and response – Leveraging AI to predict and prevent identity threats before they escalate.
- The evolution of security tools – Why traditional IAM solutions are no longer enough to safeguard machine identities.
- The CyberArk-PwC partnership – How they are helping businesses implement scalable identity security solutions for AI-driven environments.
With decades of industry experience, Chakrabarty leads IAM initiatives focused on risk management and compliance, while Rogers brings deep expertise in identity-centered Zero Trust strategies for Fortune 100 companies and government entities.
Watch the full discussion to learn how enterprises can stay ahead of the AI-driven identity surge and protect their expanding digital ecosystem.
