Best Data Tokenization Software for Amazon RDS

Simplifying data leakage prevention in your application is now easier than ever with the Acra encryption suite, which offers robust data protection for distributed systems, as well as web and mobile applications, utilizing PostgreSQL, MySQL, and KV backends through targeted encryption methods. The encryption of sensitive and personal information is not only a regulatory requirement under laws such as GDPR, HIPAA, CCPA, and PCI DSS but also aligns with the best practices established within the industry. Nonetheless, incorporating cryptography into distributed applications can often prove to be a complex endeavor, frequently resulting in limited security benefits and various architectural compromises. Acra aims to transform this landscape by offering a singular solution that encompasses nine essential data security controls, designed to effectively reduce data leakage risks while ensuring comprehensive defense mechanisms throughout the entire data lifecycle in the application. The integration of Acra is straightforward, requiring minimal changes to your existing codebase, and it enhances data security while decreasing mean time to detection (MTTD) and mean time to recovery (MTTR). Additionally, Acra equips developers with an integration library that enables the encryption of any record using keys from AcraServer, further streamlining the security process. Ultimately, Acra is positioned as a vital tool for any organization striving to maintain data integrity and compliance in today's digital landscape.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.