GhangorCloud, a provider of intelligent information security and data privacy compliance enforcement solutions, has unveiled its patented compliance and privacy enforcement (CAPE) product. The CAPE platform automates tasks associated with data discovery, data classification, data mapping and consumer privacy compliance enforcement in real-time across all regulatory compliance mandates including GDPR, CCPA, HIPPA, PCI, PDPB, PDPL and other data privacy laws across the globe.
A major challenge global organizations face is the risk of serious fines as mandated by consumer data privacy regulations.
GhangorCloud’s CAPE solution delivers a highly scalable architecture and can be deployed across enterprise and multi-cloud environments. Its’ AI-powered eDiscovery Engine identifies and classifies content automatically, generates privacy enforcement policies without requiring tedious manual intervention and provides real-time enforcement of privacy mandates to minimize risk and exposure while reducing the total cost of ownership.
“Data compliance and privacy enforcement is a daunting task that involves multiple, complex processes and requires the ability to sieve through large volumes of data corpuses at a very high rate both on-premises and across multi-cloud environments,” said Tarique Mustafa, CEO/CTO, GhangorCloud. “Leveraging our patented Intelligent Automation Engine, the CAPE platform addresses these issues with a modern-day data compliance and privacy system for expeditious and error-free performance of complex tasks, while significantly minimizing the cost of enforcement of regulatory compliance and privacy mandates.”
Compliance and Privacy Enforcement (CAPE) Solution Features Include:
- AI Powered Data eDiscovery – GhangorCloud’s AI-powered Data Discovery Engine was built from the ground up to address deficiencies and constraints of previous generation data discovery solutions.
- Complex Data Object Definition – CAPE embodies AI-based patented technologies that facilitate the definition and discovery process for complex data/information objects that can represent any type of concrete and abstract data or information objects of interest. Virtually any kind of data/information such as structured, unstructured, semi-structured, ordered/unordered sets of data and data sequences can all be modeled and automatically identified and classified.
- Auto Identification – Incorporates sophisticated patented technology for auto-identification of high granularity canonical as well as complex data objects that involve components with cross modality, cross type, composite structured and unstructured, embedded, or independent canonical data types.
- Auto Classification – CAPE incorporates an auto-classification engine that works with sophisticated data object ontologies to auto-classify sensitive information. The auto-classification engine examines every data/information object in the corpora and using GhangorCloud’s patented algorithms automatically classifies it into one of the classification types defined in the data object ontology. It can classify sensitive information as granular as specific words and phrases.
The auto-classification engine replaces the requirement for manual tagging or fingerprinting of sensitive information. It can work out-of-the-box and does not require any pre-processing of data or a laborious training/learning process.
GhangorCloud’s Compliance and Privacy Enforcement solution is available now. For information and pricing details, email info@GhangorCloud.com.