{"id":14074,"date":"2022-06-17T22:50:29","date_gmt":"2022-06-17T22:50:29","guid":{"rendered":"https:\/\/www.securedyou.com\/?p=14074"},"modified":"2022-06-17T22:50:29","modified_gmt":"2022-06-17T22:50:29","slug":"4-big-data-security-risks-every-company-must-mitigate","status":"publish","type":"post","link":"https:\/\/www.securedyou.com\/4-big-data-security-risks-every-company-must-mitigate\/","title":{"rendered":"4 Big Data Security Risks Every Company Must Mitigate"},"content":{"rendered":"
Big data is everywhere these days. Companies are collecting more data than ever, and security risks<\/a> have multiplied. Big data is essential<\/a> to creating a competitive advantage in the markets, but it can also cripple your business if you ignore common vulnerabilities.<\/p>\n These vulnerabilities arise from how big data is stored and transmitted throughout your organization. Here are 4 common big data vulnerabilities and how you can mitigate the risks they create.<\/p>\n Getting the basics of big data storage and transmission goes a long way toward mitigating any risks. There are 3 functions you must review. First, examine how data enters your system. Are your data sources uncorrupted, and are you using the right tools to being data in?<\/p>\n Next, how are you storing those datasets? Data warehouse vulnerabilities can cripple your systems, so make sure you’re using the right tools. For instance, Redshift is ideal for enterprise-scale BI integration, but Clickhouse offers ultra-low latency requests. Compare Clickhouse vs Redshift<\/a> and other options in this category to choose the one that works best for you.<\/p>\n Lastly, check where you’re sending your data. Which entities are reviewing it, and can they edit or change data parameters? Often, configuration errors in system integrations can create data vulnerabilities. For instance, a configuration error between two systems might give a malicious actor an entry point to your data transmissions and corrupt them.<\/p>\nGet the basics right<\/h2>\n