Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Insurance companies handle vast amounts of sensitive customer data such as personal information, financial records, and health details. As such, they must comply with strict data protection requirements. Failure to comply with these regulations can result in severe penalties, reputational damage, and loss of customer trust. In this article, you’ll learn about the best data protection practices for the insurance industry.

According to Cybersecurity Ventures, more than half of the world’s data will be stored in the cloud by 2025. With this growth comes a new challenge: understanding where your cloud data lives, what it contains, and how to ensure it is properly protected. The mass storage capabilities of the cloud means it’s easy to drop data wherever you want. It’s also easy to forget to clean up that data or set up backups where that data is required.

India tops the world’s population with 1.4 billion people. Sixty percent of that population fall under the working age group, which is expected to increase over the next decade. The world’s eyes are on India, as the country sees a fair amount of digitization among all tiers of its cities.

The adoption of cloud computing has become a cornerstone of modern business operations today. However, this shift brings forth significant concerns about data protection and security. Cloud security assessment plays a crucial role in safeguarding sensitive information and ensuring compliance with industry regulations. Organizations must prioritize this process to identify vulnerabilities, mitigate risks, and establish robust security measures within their cloud environments.

Enterprise data is a tremendous asset, but did you know it could also cause great data privacy-related financial risks? The need for sturdy enterprise data protection cannot be emphasized enough. With local data privacy laws such as GDPR being strictly enforced by countries worldwide, companies are seeing heftier fines for data breaches. Companies now need to be extremely cautious about how they manage privacy risks by carefully controlling access to personal and sensitive data.