A recent survey conducted by Radware, a leading provider of intelligent application networking solutions, revealed that nearly half (45%) of respondents experienced data breaches in 2017, and 68% admitted they struggled to secure their organization's information. Despite ongoing efforts like the General Data Protection Regulation (GDPR) and other data privacy initiatives, many companies continue to rely on outdated and ineffective security measures, leaving their data more exposed than ever.
The current state of data insecurity is largely due to the need for organizations to share information both internally and externally in order to maximize the value of their data. However, the problem lies in the fact that most companies focus heavily on external threats, such as cyberattacks, while neglecting internal vulnerabilities. This imbalance can be costly—when an attack occurs, the damage can be severe. Even though critical enterprise data is often not stored in external databases, this alone isn't enough to counter the rising threat of cybercrime.
To prevent data disasters, enterprises should adopt three key strategies:
**Step 1: Implement Advanced Encryption Where Data Is Used**
Many of the largest data breaches are caused by insider actions, and the number of incidents involving internal staff is increasing. According to Verizon, one in four security violations involves internal leaks, and in the healthcare industry, insiders were responsible for 68% of all breaches, according to IBM.
Encryption has been around for a long time, but today’s approach must be more strategic and comprehensive. Modern encryption systems not only protect data from external threats but also ensure that even internal users, such as system administrators, cannot access sensitive information without proper authorization. Advanced encryption includes features like frequent key rotation, which limits the impact of partial data leaks. Moreover, data should be encrypted throughout its entire lifecycle—from use to storage—and only decrypted when necessary. During this process, system administrators should not have access, ensuring a higher level of security.
**Step 2: Use Data Masking to Prevent Sensitive Data Sharing**
Businesses must find a balance between data protection and the ability to share information. Data masking is a technique used to suppress or replace sensitive data, such as personally identifiable information (PII), during transfers or queries. This allows organizations to maintain the usefulness of data while protecting private details from unauthorized access.
With data masking, companies can control who sees what, ensuring that sensitive information like names or social security numbers is hidden from inappropriate queries or updates. This provides greater flexibility in sharing data with the right people while keeping it secure.
**Step 3: Apply Element-Level Security at the Document Level**
Many databases lack fine-grained security controls, making them vulnerable to attacks. Locking all data is not a practical solution, especially since internal employees, partners, and contractors often need access. The key is to implement role-based access control at the document level, ensuring that only authorized individuals can view or modify specific parts of the data.
Element-level security goes a step further by allowing administrators to apply detailed controls to individual sections of a document. This protects sensitive information wherever it appears, regardless of the document's structure or format.
In conclusion, enhancing database security through these three strategies can significantly reduce common vulnerabilities. By implementing advanced encryption, data masking, and element-level security, organizations can better protect their most critical assets. Choosing a secure database platform that supports these features ensures both strong protection and the agility needed in today’s digital landscape.
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