Identity governance and administration (IGA) — ensuring that the right people have the right access at the right time — has emerged as a business-critical security concern for enterprises worldwide.

IGA plays a key role in reducing the risk of identity-based security failures, which the Identity Defined Security Alliance (IDSA) reports impacted 90% of enterprises in 2022. But a broad range of factors, including complex IT and business environments, remote/hybrid work, and third-party interactions across industry ecosystems, are making it hazardous to manage identity and access manually. That’s why a new class of platform, powered by a risk-based approach and using advanced machine learning (ML) capabilities, has emerged to automate IGA.

These advanced platforms consider complex contextual and inherent risk factors — like potential for privilege escalation and when and how access was granted and last reviewed — to improve the security of highly sensitive systems and data, reducing the risks of regulatory compliance failure, legal liability, reputational damage and loss of public trust. They also reduce management burdens, cut security costs, and free security personnel for higher-level functions. The bottom line: Risk centered IGA powered by ML is transforming enterprise security.

Join AJ Yawn of SANS and Alexis Moyse from Clarity Security for strategic insight into the benefits and challenges — both business and technical — of integrating these cutting edge tools your security strategy, as well as best practices and practical steps for integrating and optimizing them enterprise-wide.

View the associated white paper HERE.