Driving the future of identity governance

“The next phase of identity needs to anticipate user access needs, spot and respond to risky behaviour, achieve continuous compliance and adapt security policies to respond to today’s dynamic business environment,” said Paul Trulove, SailPoint Chief Product Officer. “Our customers turn to us as the industry leader to constantly innovate by delivering the next generation of identity that addresses their ever-changing business and IT needs. We are once again redefining the boundaries of what a comprehensive identity governance program should be capable of with SailPoint Predictive Identity.”

SailPoint Predictive Identity is built on big data and machine learning (ML) technology which enables an AI-driven approach to identity governance, taking identity from reactive to predictive and autonomous. SailPoint Predictive Identity: 

• Automates identity processes using AI-driven recommendations while finding new areas of access and bringing them under governance with auto-discovery.
• Provides predictive modeling allowing for instant discovery and creation of access policies using ML, while ensuring access is always up-to-date with current business needs.
• Drives adaptive security powered by AI, alerting security professionals when potentially dangerous behaviors are detected and, with peer group modeling, identifying hidden risk due to inappropriate access.
• Delivers continuous compliance, quickly shaping and evolving compliance policies with AI-suggested policies and, using machine learning, launches targeted certification campaigns on risky users and areas of access.

SailPoint Predictive Identity capabilities will be integrated into IdentityIQ 8.0 and the newest release of IdentityNow, both available in June 2019.

“There are two factors at play among organisations of all sizes today,” Trulove continued. “First, the velocity of today’s business environment is moving at a break-neck pace. This is compounded by the fact that today’s IT landscape is highly complex given the number and diversity of users, applications and data that organisations now manage. Identity and business teams simply cannot keep up with manually analysing identity data and patterns to understand whether the right users have access to the right systems and data throughout the organisation. AI and ML will play an increasingly critical role in how businesses adapt access models as the business evolves, either autonomously or through recommendation-based identity governance processes.”

“Our identity program is ever-evolving, particularly given how much our own IT environment continues to change thanks to our ongoing efforts to increasingly digitise our business,” said Shawn Lawson, Head of IT Engineering & Operations, Silicon Valley Bank. “As an identity practitioner, it is an exciting time to be in identity. The idea of being able to drive a more predictive versus reactive identity program, one that adapts to our business, security and IT needs is a welcome one.”