Datagraph intersection5/18/2023 Once the data is discovered, it should be classified and labeled for different use cases. It could be in structured or unstructured form scattered across multiple devices, platforms, and applications. The second most important step an organization should take is to identify and track the personal or sensitive data that they own. It could be in a number of data assets, such as cloud IaaS/PaaS servers, SaaS applications, and on-premise systems. Organizations should start the data discovery and assessment process by finding and determining where the data resides. To ensure that the security and privacy risks are kept in check, organizations should first start with: Determining Data Locations With privacy regulations like GDPR requiring companies to record how they collect information, store it, use it, monitor it, or archive, it is vital to break data silos and ensure optimal data classification, cataloging, risk management, data mapping, and consent management. Organizations globally are working with a huge volume of data, and IDC predicts that the volume will grow ten times by 2025 and due to the absence of an effective data intelligence and privacy mechanism in place organizations find it difficult to track, monitor, and protect data privacy effectively and minimize the risk. Failure to do so could result in security breaches, hefty fines, and more importantly, loss of consumer trust.īut how should organizations tackle the data security and privacy threats and challenges? Tackling Data Security and Privacy Risks Organizations also have the responsibility to collect, process, or use the data in compliance with global regulations, such as GDPR, CCPA, PIPL, etc. Therefore, it is vital for organizations to protect all the data they own, monitor, or store - be it personal data or sensitive data. This unstructured, untracked, unmapped, and seemingly, unprotected data creates opportunities for threat actors to siphon and exploit it. The high volume of data exists across multi-cloud platforms, SaaS, and on-premises systems. Organizations globally are collecting and producing a greater volume of data than they can handle. The 2017 Equifax data breach can be a great point of reference as the breach affected 147.9 million consumers, costing the company over $4 billion dollars. More importantly, data is the driving force behind innovations and technological advancements.Īs much as it is true that data brings a multitude of opportunities to organizations globally, the fact also remains that it equally brings some serious security and privacy threats. It cannot be replaced as it is unique to every individual, entity, or object. Data is a “non-fungible” asset, as Jacky Wright, the Chief Digital Officer at Microsoft, puts it. The transformation of the digital landscape has helped to clear the confusion between data being an asset rather than a commodity.
0 Comments
Leave a Reply. |