Immuta for Finance
Advanced data science is revolutionizing the financial services industry, but slow data access, confusing internal data policies, and regulatory requirements are putting these advancements at risk. Immuta provides a single access point for all your data and automated governance controls, eliminating the friction between data scientists, data stewards, and compliance personnel, and accelerating innovation.
Immuta provides a unified access point for all your data across access patterns that support various levels of workloads. This not only allows data scientists and analysts to have a single point of entry for any tool they choose, but also provides a consistent layer for data policy enforcement and audit.
Financial service use cases require large workloads at the Terabyte scale, but also require complex policy controls on the data. While Apache Spark is well-suited for these workloads, it’s limited to enforcing basic controls on the data. With Immuta, you can execute Spark at scale while enforcing highly complex controls on the data without having to write any code.
Regulators are requiring increased transparency into what data is being used, when, and for what purposes, from overarching laws like the EU’s GDPR and MiFID II to model risk management (MRM) regulations like the FRB’s SR 11-7. Immuta gives you self-service access to data while remaining compliant with any data regulation. And as future regulations evolve to support ML/AI, Immuta will let you adapt to new requirements without the need for new code, new tools, or new hardware.
Immuta operationalizes data with radical transparency, precision, and scale.
December 15, 2017 Last month, Immuta had the pleasure of working with the UK’s Financial Conduct Authority (FCA) and Bank of England (BoE) in a “Tech Sprint” designed to bring financial regulation into the machine age. The underlying goal of the Tech Sprint was to produce model driven, machine readable – and ultimately machine executable – regulations to...
December 13, 2017 Immuta today announced participation in an international effort to bring financial regulation into the machine age.
December 12, 2017 The first step to enabling algorithm-driven organizations starts by eliminating your data policy snowflakes. What’s a data policy snowflake you ask? In short, they’re the “from scratch” implementation of data policies in every database across your organization – uniquely. Just like snowflakes. Leaving no consistent way to manage, enforce, understand, and audit policies on data costing...