Harnessing the Power of AI: Identity Security as a Key Enabler

The increasing use of artificial intelligence (AI) in businesses has led to an increased focus on identity security, as it plays a critical role in ensuring the accuracy and reliability of AI models. Security and trust teams partner with business leaders to ensure data quality, protection, and controlled permissions, which are essential for maintaining the integrity of AI-driven processes. Legacy IAM approaches often hinder innovation and data scaling while compromising security, but a focus on identity security at scale provides a secure foundation for cloud, SaaS, and data-driven initiatives. An effective identity security platform enables businesses to unlock data-driven insights with robust security controls, enforce fine-grained access controls for sensitive data, manage entitlements, and ensure data security across diverse data platforms. By focusing on visibility, intelligence, and control, organizations can protect sensitive data used to train AI models, secure access to AI algorithms, monitor for anomalous access patterns, ensure compliance with data privacy regulations and ethical AI principles, and build trust with customers and stakeholders by demonstrating responsible AI practices.