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IndyKite Unveils Identity-Powered AI Enterprise Data Platform

IndyKite unifies siloed identity and business data into a powerful, validated operational data layer to enhance security, AI, applications, and analytics.

Note: TDWI's editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

IndyKite -- the new venture from ForgeRock founder Lasse Andresen -- has updated its enterprise data platform, now offering identity-centric data veracity to power the future of AI. The new IndyKite platform helps ensure “baked-in” trustworthiness of leveraged data in any business or analytics model by employing an identity-centric approach to data where AI-driven risk scores help guide sourcing, use, and verification of each available data point help deliver visibility.

The new platform unifies both identity and business data to provide an enriched and contextualized data layer to power corporate AI, analytics, applications, and intelligent decisions. Powered by a graph core, the IndyKite platform enables complex use-case solutions while driving revenue, building trust, and securely leveraging accurate data for value across the B2B ecosystem.

One of the core challenges for companies reaching maturity in their digital transformation is the use and handling of data. This becomes a more prominent challenge as businesses incorporate AI into their technology stacks. Data is the foundation of enabling critical use cases and, as the demand for data use grows across businesses, it also opens up companies to security and compliance issues. Trust in data has never been more salient. IndyKite confronts this challenge head-on.

IndyKite is creating a new category of services in the market, unifying data from siloed data sources into a powerful, validated operational data layer. Gartner Inc. has predicted (Autumn, 2023) that within the next three years, organizations adopting data management practices in support of their IAM program will realize a 40% improvement in time-to-value delivery.

With an identity-centric approach, IndyKite ensures accurate and rich information across the corporate knowledge graph using Neo4J as a data backend. This supports companies in achieving higher trust in their AI and applications through enhanced veracity to surpass bottom-line objectives. The IndyKite platform supports product managers and application designers who want to leverage the unified data view to deliver more intelligent decisions and access control, granular customer consent management, and solve more agile and novel use cases.

In addition, the platform provides real-time analytics and insight discovery to support business goals, enhance decision-making, and strengthen threat detection and response.

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