Saviynt & AWS partner to enhance AI-driven identity security
The partnership will bring together Saviynt's Identity Cloud platform and AWS's generative AI services, notably Amazon Q Business, to enhance Identity Security Posture Management (ISPM) through deeper technological integration. This collaboration aims to provide organisations with a scalable and secure digital foundation for their transformation initiatives.
Integration with Amazon Q Business
Under the terms of the agreement, Saviynt's identity security platform will be embedded as a Data Accessor within the Amazon Q index. This native integration will enable real-time access to identity data and governance insights within the AWS ecosystem, targeting improved security posture and risk mitigation for enterprise clients. "We are excited to collaborate with AWS to bring Saviynt's next-generation identity governance into the Amazon Q ecosystem. This native integration in Amazon Q Business will help organizations embed AI-driven identity insights into critical workflows and drive stronger cloud security outcomes," said Paul Zolfaghari, President at Saviynt.
The collaboration involves dedicated AWS support in co-selling, marketing, and further product development efforts. The integration is designed to facilitate large organisations' ability to manage identity security at scale while leveraging advanced analytics driven by AI.
Addressing identity risk
Saviynt's participation as a native Data Accessor within Amazon Q index is positioned to help enterprises address a range of identity security challenges. This includes managing risk from fragmented security tools, unauthorised or shadow access, and the lack of consolidated visibility into the identity landscape across data, devices, and infrastructure. "Today's organizations face mounting identity risk from fragmented tools, shadow access, and limited visibility across data, devices, and infrastructure. By integrating Saviynt's intelligent identity governance with Amazon Q index's analytics platform, we're enabling enterprises to gain a unified, context-aware view of identity posture - driving smarter decisions, reducing risk, and accelerating Zero Trust maturity," said Vibhuti Sinha, Chief Product Officer at Saviynt.
With these integrations, enterprise customers will be able to access a number of new capabilities within the Amazon Q experience: Faster compliance and audit reviews: Automated surfacing of access assignment events, approval tickets, and policy documentation to accelerate compliance checks and streamline audits.
Automated surfacing of access assignment events, approval tickets, and policy documentation to accelerate compliance checks and streamline audits. Simplified investigations: Real-time, unified views of identity events and related tickets reduce the need for manual searches across platforms such as ServiceNow, Jira, GDrive, or SharePoint.
Real-time, unified views of identity events and related tickets reduce the need for manual searches across platforms such as ServiceNow, Jira, GDrive, or SharePoint. More accurate access decisions: Improved validation of user access against compliance policies and documented approvals, supporting faster and more consistent governance outputs.
Improved validation of user access against compliance policies and documented approvals, supporting faster and more consistent governance outputs. Greater operational efficiency: Quicker response times and enhanced productivity provided by seamless access to historical identity data and governance context.
These new features are expected to have significant impact in regulated industries, including financial services, healthcare, and manufacturing, where audit readiness, compliance, and least-privilege access are high priorities and often mandated by regulation.
The collaboration marks continued investment from both AWS and Saviynt in co-developing solutions tailored to the challenges of digital transformation in large, complex organisations. The integration of identity security posture management with generative AI is intended to streamline governance, reduce manual intervention, and help enterprises align with zero trust security models.
Both companies point to the opportunity to provide organisations with more responsive, reliable, and context-rich identity governance as the broader business landscape continues to digitise and evolve regulatory frameworks around data, privacy, and security practices.
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