averaging over $4 million — a hit that’s hard for any business to take. Even if a company can handle the cost, data regulations like the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) hold businesses to strict standards. Non-compliance can lead to steep fines and legal issues, hurting both brand reputation and the bottom line.
Strong data security practices don’t just protect your organization; they make your operations more efficient. And knowing that your data is reliable and accessible only to authorized users supports smoother internal processes, drives innovation, and builds trust with customers and partners.
What is big data security?
“Big data security” refers to the tools and methods used to protect large volumes of data, typically defined by its variety, speed, and sheer size.
As businesses increasingly depend on big data analytics to guide america phone number list decisions, keeping this data secure becomes even more essential. Securing big data means protecting storage systems, ensuring secure data transfers, and using controls to prevent unauthorized access.
Data security vs. data privacy
Data security and data privacy may sound similar, but they each have their own focus. Data security is all about protecting data from unauthorized access to ensure its integrity and availability. This involves technical safeguards like encryption, firewalls, and access controls.
Data privacy, on the other hand, focuses on individuals’ rights regarding their personal information. It’s about policies that govern how personal data is collected, used, and shared, ensuring people have control over their information.
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