Business Intelligence, Big Data Management, Big Data

Vaultree Announces New Integration with Tableau

Vaultree Announces New Integration with Tableau

Vaultree, a cybersecurity leader pioneering Fully Functional Data-In-Use Encryption (FFDUE), today announces a strategic integration with Tableau, a renowned platform for data visualization and business intelligence. This marks a monumental leap forward in secure financial and healthcare data analytics, enabling encrypted data to be safely analyzed and visualized for the first time, all while maintaining absolute data privacy and security.

“Today, we are introducing a unique synergy between encryption and data visualization,” says Ryan Lasmaili, Founder and CEO of Vaultree. “Our integration with Tableau is a significant step in driving data security and business intelligence to new heights. It combines our persistent FFDUE encryption with Tableau's secure data visualization, promoting innovation, mitigating cybersecurity risks, and ensuring regulatory compliance with standards like GDPR and CCPA.”

New features and benefits include:

End-to-End Encrypted Data Analytics: The Vaultree-Tableau integration empowers organizations to carry out sophisticated predictive modelling, trend analysis, and market research on encrypted data. This innovation is set to transform how sensitive financial and healthcare data is utilized, transforming the industry landscape by allowing organizations to unlock their full potential while preserving data security and privacy.

Secure Data Visualization: This integration enables the viewing of insights derived from computations on encrypted data in plaintext on a Tableau dashboard. This breakthrough provides a new level of secure business intelligence, combining the power of advanced analytics with the security of end-to-end encryption.

AI & ML on Encrypted Data: The Vaultree-Tableau integration allows organizations to perform advanced encrypted search, machine learning, and AI-powered data analysis on sensitive data. This functionality fosters unprecedented levels of innovation and enhances decision-making without sacrificing data security.

“We're fostering a future where persistent FFDUE encryption and secure data visualization are driving industry innovation, fueling growth, and reducing cybersecurity risks, all while ensuring stricter compliance with regulatory requirements,” adds Lasmaili. “Today, we’re making that future a reality.”

Vaultree continues to push the boundaries of what's possible in secure data collaboration and management, delivering solutions that address the evolving challenges of data privacy and security in both the financial services and healthcare sectors. With this integration, Vaultree further affirms its commitment to driving industry-wide transformation and shaping the future of secure, data-driven innovation.

Vaultree is also thrilled to announce its sponsorship at Black Hat USA 2023. Visit the startup city, booth #204, for a live demo of the integration, and to see firsthand how Vaultree and Tableau are transforming secure data analytics. Ryan Lasmaili, Founder and CEO of Vaultree, will deliver a session titled 'Navigating Data Encryption: Discover the Power of Fully Functional Data-In-Use Encryption (FFDUE)' on Thursday, August 10, from 2:25pm-2:45pm at the Start-Up City Theater. You can schedule a meeting to meet with our team at https://www.vaultree.com/rsvp/.

About Vaultree

Vaultree, a leader in cybersecurity, has redefined sensitive data protection and access with our Fully Functional Data-In-Use Encryption (FFDUE). Our solution enables enterprises to securely process, search, and compute structured and unstructured encrypted data, driving AI and ML applications. Our technology resolves traditional encryption hurdles and also provides an enterprise blend of performance, speed, and scalability—making it an ideal match for data-intensive sectors. Moreover, our technology guarantees persistent encryption, even during a data leak. Under specific GDPR provisions, companies are exempt from disclosing a breach if the data was encrypted using Vaultree—a testament to the trustworthiness of our system. With a seamless integration process that doesn't demand any major platform or technology changes, Vaultree is trusted by Google and numerous other data-focused organisations worldwide to safeguard their sensitive information. Our commitment is to always keep your data encrypted, accessible, and secure, while driving innovation and mitigating cybersecurity risks. Vaultree is a privately held company based in Ireland and the U.S. For more information, please visit www.vaultree.com.

Spotlight

Spotlight

Related News

Big Data Management

NICE Actimize X-Sight DataIQ ClarityKYC Wins Best Data Solution for Regulatory Compliance in A-Team Group’s 2023 Data Management Insight Awards

Business Wire | November 01, 2023

NICE Actimize, (Nasdaq: NICE) was named a winner in A-Team Group's Data Management Insight Awards USA 2023 in the category for Best Data Solution for Regulatory Compliance. NICE Actimize’s X-Sight DataIQ ClarityKYC was the recipient of the most online votes in its category derived from reader/online nominations from within the data management community and verified by A-Team Group editors and its advisory board. NICE Actimize’s X-Sight DataIQ ClarityKYC is a SaaS workflow solution that automates data aggregation and simplifies KYC for financial services organization users. The solution facilitates compliance with KYC/Anti-Money Laundering (AML) requirements by integrating disparate datasets and streamlining the customer identification, due diligence, and credit investigation process. Customer onboarding is a critical first step in any financial services organization’s risk management strategy. Onboarding new customers and conducting ongoing reviews presents numerous competitive challenges, which include manual and error-prone processes, long onboarding times which result in longer time to revenue for the banks, and no practical way to make sure the bank’s global regulatory policies are met in an auditable process, said Craig Costigan, CEO, NICE Actimize. NICE Actimize’s DataIQ ClarityKYC addresses these issues effectively. We thank the A-Team group and the data management community for recognizing the innovation we offer with X-Sight DataIQ. “These awards recognize both established solution vendors and innovative newcomers providing leading data management solutions, services, and consultancy to capital markets participants across North America. Congratulations go to NICE Actimize for winning Best Data Solution for Regulatory Compliance,” said Angela Wilbraham, CEO of A-Team Group and host of the Data Management Insight Awards USA 2023. X-Sight DataIQ ClarityKYC leverages AI-powered technologies to access traditional content while intelligently orchestrating data from various global data sources. X-Sight DataIQ Clarity reduces the amount of effort needed to conduct research. Long IT integration projects and tasks formerly done manually or requiring steps can be completed quickly, automatically saving time and effort while enabling teams to comply with confidence while reducing customer friction.

Read More

Big Data Management

Cloudera and AWS Enhance Cloud Data Management and Analytics

AWS | September 11, 2023

Cloudera and AWS have signed a strategic collaboration agreement to boost cloud-native data management and analytics. Cloudera, AWS ISV WMP Partner, will use AWS services to innovate and reduce costs with its open data lakehouse. Its Data Platform is engineered to integrate directly with AWS services, providing a cost-effective and innovative platform for customers. Cloudera and Amazon Web Services (AWS) have announced a Strategic Collaboration Agreement (SCA) aimed at bolstering cloud-native data management and analytics. Under this agreement, Cloudera will harness AWS services to provide ongoing innovation and cost reduction to customers using the Cloudera open data lakehouse on AWS for enterprise generative AI. As part of this collaboration, Cloudera, already an AWS Independent Software Vendor (ISV) Workload Migration Program (WMP) Partner, will further simplify workload migration to the cloud and the purchase of Cloudera Data Platform (CDP) on AWS, leveraging AWS Marketplace credits. Cloudera has opted to run key elements of CDP on AWS, including data management, data lakes, data warehouses, operational databases, AI and machine learning, master data management, and security components. This allows customers to transition to CDP in the cloud without the need to refactor their applications, facilitating hybrid deployments. Moreover, Cloudera has designed CDP for seamless integration with various AWS services such as Amazon S3, Amazon EKS, Amazon RDS, and Amazon EC2, delivering a tightly integrated platform that reduces costs and capitalizes on AWS innovations. Customers can access AWS native services without the burden of managing integrations themselves. "Deepening our collaboration with AWS gives customers even more reasons to choose to run the Cloudera Data Platform on AWS. With tighter hardware and AWS service integration, customers get the best possible experience with strong security and governance, along with new cost reduction options to support their most critical analytical workloads, said Paul Codding, Executive Vice President of Product Management, Cloudera. He stated that Cloudera and AWS, when combined, provide organizations with the necessary tools to construct and operate data applications in a manner that can optimally cater to the unique and evolving requirements of their business. [Source: PR Newswire] Beyond technology integration, AWS and Cloudera are set to collaborate on marketing and co-selling programs for customers. The partnership solidifies Cloudera's position as a trusted AWS partner in cloud-native data management and data analytics. "Cloudera has strengthened their collaboration with AWS for shared customers to leverage their existing investments in CDP and accelerate their modernization to the cloud, said Chris Grusz, General Manager, Technology Partnerships and Marketplace at AWS. He mentioned that Cloudera is persistently innovating on AWS throughout its data management platform to deliver authentic data analytics and insights for its customers. [Source: PR Newswire] Cloudera's open data lakehouse approach enables secure data management and portable cloud-native data analytics across various cloud environments, aligning with their mission to make data transformation feasible for the future.

Read More

Big Data Management

J.P. Morgan Unveils New Data Mesh Enhancing Data Access for Investors

J.P. Morgan | October 11, 2023

J.P. Morgan introduces the Securities Services Data Mesh via Fusion. Fusion's Data Mesh addresses data integration challenges and expands its capabilities, including compatibility with Snowflake, new APIs and SDKs. Gerard Francis emphasizes the importance of convenient data access for institutional investors and highlights Fusion's role in helping clients overcome data-related challenges. J.P. Morgan has recently unveiled its Securities Services Data Mesh for institutional investors, now accessible through Fusion by J.P. Morgan (Fusion). This innovative solution empowers investors to access vital investment data maintained by J.P. Morgan's Custody, Fund Accounting, and Middle Office services, leveraging cloud-native channels like REST APIs, Jupyter notebooks, and the Snowflake Financial Services Data Cloud. In today's dynamic landscape, organizations seeking to harness the flexibility of the cloud and leverage the rapid advancements in analytics, AI, and machine learning require data within a contemporary technology stack that is ready to analyze and use. Fusion steps into this arena with the launch of the Data Mesh, which now includes Securities Services data. With a diverse array of cloud-native channels, Fusion addresses historical pain points associated with integrating asset servicing data, especially the challenge of ingesting data at scale, particularly as portfolios and investments increase in size and complexity. Fusion has also established partnerships with leading cloud providers, including Snowflake, to bring Securities Services data directly into investors' workflows. Gerard Francis, the Head of Data Solutions at J.P. Morgan, stated that institutional investors were increasingly utilizing data to enhance their alpha and operational efficiency. He emphasized the significance of having convenient access to this data and mentioned that with Fusion's new Data Mesh, they were meeting their client's needs by providing data directly to their Snowflake instances and Python notebooks. Francis pointed out that clients now had the ability to access data from applications running in both cloud and on-premise environments through Fusion APIs and other contemporary delivery channels. He also highlighted that this launch represented the most recent instance of Fusion aiding clients in overcoming their data-related challenges. Here are the notable cloud-native capabilities and channels: Fusion is now compatible with Snowflake, making Securities Services datasets readily accessible from Snowflake tables. Investors leveraging cloud services, such as Snowflake as an integration layer, can now effortlessly retrieve J.P. Morgan data, irrespective of their chosen cloud provider. The introduction of new REST APIs, Java and Python SDKs facilitates the easy integration of data into investors' workflows or existing applications. This empowers investors to develop advanced analytics for a wide range of applications, from automated reconciliation to investment analysis and reporting. Investors have the added advantage of accessing data directly within their Jupyter notebooks through the Fusion Python library, streamlining the process of data analysis and application across a broad spectrum of use cases with minimal effort. To cater to developers, the Data Mesh offers an assortment of developer-friendly features, including a notifications service that keeps applications informed about key data events, self-service tools for application management and data delivery, and access to data catalogs and data dictionaries through both the API and the Fusion UI.

Read More