Security News > 2021 > March > With data volumes and velocity multiplying, how do you choose the right data security solution?
Finding a data security solution that will fit an organization's needs - current and future - has always been a challenge.
Jean Le Bouthillier, CEO of Canadian data security startup Qohash, says that organizations have had many issues with solutions that generate large volumes of not relevant and not actionable data.
"My first piece of advice for organizations looking for the right data security solutions would be to consider whether they provide valuable metrics and information for reducing enterprise data risks. It sounds obvious, but you'd be surprised at the irrelevance and noisiness of some leading solutions - a problem that is becoming a nightmare with data volumes and velocity multiplying," he told Help Net Security.
"If the pricing model for protecting your data is volume-adjusted, it will mean that over time, as data volumes increase, you'll be tempted to reduce the scope of your protection to avoid cost overruns," he noted.
"Data classification is the fundamental root of any data security governance because it provides clarity and authority to support standards and other programs like user awareness efforts. In the context of data governance, data visibility and, ultimately, data-centric controls can't work without data classification," he explained.
"In 2016, there were significant investments in machine learning, and it seemed evident that this would result in greater data-dependency for firms and a considerable need for modern controls to protect data confidently across vast hybrid infrastructures. I knew that data security was underrated at the time, and I was eager to leverage my experience to deliver better capabilities to enterprises scrambling to protect their assets," he shared.
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