MindBridge, a leader in cloud-first AI financial risk discovery and anomaly detection software, today announced its latest global release focused on improving transparency, speed, and scale for financial professionals.
“Having the ability to quickly identify risk within financial data sets is providing greater opportunities for businesses to make better decisions and react in a more accurate and agile manner,” said Robin Grosset, CTO of MindBridge. “MindBridge helps ensure that organizations conduct their financial transactions in an ethical and transparent manner by surfacing potential financial irregularities and thereby reducing risk. MindBridge is proud to have delivered another strong release introducing several significant product enhancements within our platform to help organizations continue to benefit from MindBridge and our next-gen capabilities.”
Also Read: Lookout to Showcase Data-Centric Cloud Security Solutions
New financial data workflow capabilities show how this release will make integrating MindBridge into an organization’s approach easier. MindBridge helps create more consistent practical analyses at scale and builds upon the time savings and ROI that customers receive with MindBridge.
MindBridge is delivering three new financial algorithm analytics tests. MindBridge enables new insights using prior period comparisons with new visualizations to review and assess current and past performance.
MindBridge is providing further flexibility with new configurable risk scores to help assess account-specific risks and enhance audit sampling and insights.
MindBridge is expanding its performance for even larger data sets, improving its user experience and leading data anomaly and risk detection capabilities.
“With people, process, and data transformation at the helm of every business, this latest release helps MindBridge further extend our commitment to our customers with transparent and scalable financial analytics,” said Melissa Chan, CPA, Director of Customer Success at MindBridge.
MindBridge’s newest data anomaly detection allows firms and enterprises to step up their adoption of cutting-edge business-focused technology to become leaders in innovation within their service domains and industries.