Ghangorcloud: Workflow Automation through Data Classification

Information security is one of the many domains that have experienced exponential growth in the past two decades. Right from its first generation that saw ‘password-protecting’ files, to the third generation that offered unstructured data analysis with manual policy creation, data protection trends have witnessed many ups and downs in quick succession. Consider credit cards, one the very well known technologies that adopted information security: Although their existence and widespread usage date back to the late 1980s, safety concerns regarding card-based payments plague the average consumer even today. In spite of a few solutions surfacing as the ‘potential problem solvers,’ they barely lived up to compliance requirements and government regulatory standards. “Unless data is automatically segregated or classified according to set parameters without any human intervention, addressing information security becomes meaningless as it will fail to live up to the standards of the future data compliances,” adds Tarique Mustafa, CEO of Ghangorcloud.

Ghangorcloud’s approach to the fourth generation of information security is supported by three pillars— automation of data classification, automated policy generation, and real-time data leak prevention.
In line with software-defined security practices, Ghangorcloud uses “segmentation of duty based access controls” to automate information security access according to the regulatory standards set by an organization. The engine provides a granular policy enforcement mechanism that ensures compliance with regulations set by the organization. The entire process is streamlined by AI protocols that classify workflows along the lines of the auto-generated policies. The real-time access control acts as ‘the cherry on top’ for the three-layered cake that is Ghangorcloud information security.

Automation and access control go a long way, not only simplifying the tasks at hand but also eliminating the need for training workforces to perform data classification. Tarique explains a scenario wherein tasks arising in a workflow need to be manually channeled by a manager or an employee, resulting in accumulation of work queues that delay the overall progress of the workflow. A large bank in the APAC region had a similar predicament that necessitated a foolproof ERP solution that rested the access control with IT professionals of the institution, and was capable of self-sustaining (automatically classify data without human intervention). Ghangorcloud deployed its information security platform as a proof of concept, only to stand tall as the most desirable solution for the client during the beta tests. The full-fledged implementation engendered auto-generated policy compliances, along with time-bound work queues that resulted in the automation of the entire workflow.
Ghangorcloud’s process automation incorporated the bare essentials of an effective enterprise system, eliminating human intervention and thereby “enhancing productivity instead of impeding it.”

Ease of deployment, ease of maintenance and ease of usability are the fundamentals upon which we have designed our suite of solutions

“Ease of deployment, ease of maintenance and ease of usability are the fundamentals upon which we have designed our suite of solutions. They serve as the missing link that ensures effective communication amongst all the components in an enterprise,” explains Tarique. The company’s centralized command, control, and intelligence system works hand-in-hand with Segmentation of Duty (SOD) based information access control, providing an automated and comprehensive information security platform.. The company believes that information security and data leak prevention is not just an IT concern, but also a business problem that needs to be addressed by factoring in easy usability across the employee spectrum. Ghangorcloud addresses this concern by streamlining information security in ways that include minimal human intervention while providing highly sophisticated automation to detect and prevent data exfiltration.