Securing data today requires the context provided by data lineage: where data came from, who interacted with it over time, which systems have used it, and more. But buyer beware: many vendors now claim to offer “data lineage” that only provides a tiny fraction of the context of true, global data lineage.

Launching a successful cybersecurity compliance program requires careful planning, a dedicated team, and a commitment to achieving industry certifications. Protegrity’s platform streamlines this process by providing centralized data protection tools, ensuring that organizations meet security compliance standards while simplifying risk management and audit preparation.

Since data breaches are becoming more common and online threats are always changing, strong encryption methods are needed to keep private data safe. NSA Suite B Encryption is one of these standards. It was made by the National Security Agency (NSA) to provide a group of safe cryptographic methods. These algorithms are very important for keeping private information safe in many areas, such as the government, the military, and the private industry.

Where are your credentials and secrets, and how are you protecting them? These are fair questions, considering the pervasiveness of secrets sprawl. We recently conducted research over 12 months to determine where enterprises’ secrets were residing within their systems, like GitHub, Confluence, Zendesk and Slack. In addition to API keys and passwords, secrets like SSL certificates, usernames and others are spilling into enterprises’ cloud environments and increasing the risk of a breach.

Data is the backbone of the financial services industry. Each transaction, interaction, and record hold sensitive information. This can be attacked by both internal and foreign attacks. In today’s highly regulated world, financial institutions must make considerable efforts to safeguard their data and comply with regulations such as GDPR, PCI DSS, SOX, and the Gramm-Leach-Bliley Act (GLBA).

In this digital age, enterprises in all industries are creating and accumulating an astronomical amount of sensitive data to store and exchange. Given a prevalence of highly sensitive data, preventing it from getting into the wrong hands or avoiding data loss by accident has become a top priority. While on surface data loss vs data leak can look harmless, it can lead to financial losses, reputational damages, and even trigger litigation.

When it comes to building a comprehensive data security strategy, everything hinges on finding and accurately classifying all your sensitive data. It seems security professionals have finally given up on legacy solutions that require extensive labeling and manual data mapping — and not a moment too soon. We're confident no one will mourn the passing of legacy solutions.

Read also: Japan's police arrest 18 members of a cybercrime group, FBI’s most wanted cybercriminal arrested in Italy, and more.