Information security and data privacy provider GhangorCloud Inc. today announced a new product that automates tasks associated with data discovery, classification, mapping and consumer privacy compliance enforcement.

According to the company, the Compliance and Privacy Enforcement product delivers a highly scalable architecture that can be quickly deployed across enterprise and multicloud environments. Using an artificial intelligence-powered “eDiscovery Engine,” the service identifies and classifies content automatically and generates privacy enforcement policies without manual intervention. The service provides real-time enforcement of privacy mandates to minimize risk and exposure while significantly reducing the total cost of ownership.

GhangorCloud argues that one of the biggest challenges global organizations face is the pervasive risk of severe fines as mandated by consumer data privacy regulations. For example, the EU General Data Protection Regulation provides unique challenges and breaches of  GDPR can result in fines of up to €20 million ($20.27 million), or 4% of worldwide turnover for the preceding financial year, whichever is higher. Companies that fail to comply with data privacy mandates risk not only financial exposure but also operational and reputational losses.

The CAPE platform offers real-time compliance across all regulatory mandates, including GDPR, CCPA, HIPPA, PCI, PDPB, PDPL and other data privacy laws across the globe.

Features include complex data object definitions that facilitate the definition and discovery process for complex data and information objects representing any type of concrete and abstract data or information objects of interest. Nearly any kind of data/information, such as structured, unstructured, semistructured, ordered or unordered data sets, and data sequences, can all be modeled and automatically identified and classified.

CAPE allows for auto-identification of high granularity canonical and complex data objects that involve components with cross-modality, cross-type, composite structured and unstructured, embedded or independent canonical data types.

In addition, CAPE’s auto-classification engine works with sophisticated data object ontologies to auto-classify sensitive information as granular as specific words and phrases. The engine completely replaces the requirement for manual tagging or fingerprinting of sensitive information, works out of the box and does not require any pre-processing of data or a laborious training/learning process, GhangorCloud says.

“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 multicloud environments,” Tarique Mustafa, chief executive officer and chief technology officer of GhangorCloud, said in a statement. “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.”

Image: GhangorCloud

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