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Securing Your Sensitive Data: Top 7 Cloud Migration Strategies and Best Practices

Cloud migration refers to the process of moving data, applications, and other business elements from on-premise data centers to a cloud computing environment. This transition is crucial for modern businesses aiming to enhance their operational efficiency, scalability, and flexibility. Cloud migration offers numerous benefits, including cost savings, improved performance, and the ability to leverage advanced technologies like AI and big data analytics.

Best Practices for Implementing Cloud Migration Security

As modern businesses increasingly rely on cloud services, securely migrating data to the cloud has become crucial. Effective cloud migration allows organizations to leverage external expertise and resources while maintaining data integrity and compliance. This guide provides a comprehensive understanding of secure cloud migration, best practices, essential security measures, and successful real-world examples to help businesses benefit from these practices without compromising data security.

Strengthening Snowflake Security with Protegrity's Advanced Solutions

The recent AT&T data breach, which compromised call and text records of nearly all its cell customers, highlights the urgent need for robust data security. As partners with Snowflake, we at Protegrity are dedicated to working together to strengthen data protection and ensure our customers’ information remains secure.

Securing Data, Empowering Innovation: A Three-Part Approach for Future-Proofing Enterprises

In the first part of this blog series, we discussed the primary data security challenges identified as most significant for c-suite respondents from our executive research. In the ever-changing landscape of modern business, harnessing the full potential of data has become imperative for enterprises aiming to future-proof their operations. However, to truly unlock this potential, organisations must critically assess their approach to data security across three vital areas.

Unleashing Data's Potential Through Security

Data is the foundation of modern business strategies. Organisations are navigating a complex landscape to harness the power of their data effectively, from ensuring seamless integration and accessibility to upholding quality standards and compliance, all while fostering strategic data governance. In an era where data holds the key to unlocking AI capabilities and driving advanced analytics, the quest for leveraging sensitive data safely has never been more pressing.

Why Dynamic Data Masking (by Itself) Isn't Enough

As more reports of massive data breaches surface, implementing a robust data protection strategy is not an option but a must. Sensitive data must be secure whether it’s in use, in transit, or at rest. No matter where the data is stored or viewed, it must be protected to accomplish National Institute of Standards and Technology requirements and many other regulations. Protecting data, your most sensitive assets is critical.

Protegrity Helps AWS Customers Attain Compliance for Data Security

A large solutions and services company facing strict compliance regulations and enforcements needed a powerful, scalable enterprise data protection solution for their data being migrated over to S3, Athena, Amazon Redshift, and Glue environments. The sensitive data included HR, Financial and customer information. Using Protegrity’s field-level data protection, the company overcame this challenge, significantly improving their processes.

Enhancing Data Security in the Wake of Recent High-Profile Breaches

Recent high-profile breaches at Ticketmaster and Santander, attributed to the ShinyHunters group, have brought the critical need for robust data protection measures to the forefront. ShinyHunters, a notorious cybercriminal group known for stealing data from various organizations for financial gain, has demonstrated how vulnerabilities in third-party platforms can lead to significant data breaches.
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Six steps to protecting data in financial services companies

There is no shortage of news headlines about companies falling victim to cyber breaches and the astounding costs associated with them. According to the IBM Cost of a Data Breach Report 2023, the global average cost of a data breach in 2023 was $4.45 million, a 15% increase since 2020. For the financial services industry, the cost is even higher at $5.9 million per breach; that is 28% above the global average.

Is over-focusing on privacy hampering the push to take full advantage of AI?

Customer data needs to be firewalled and if protected properly can still be used for valuable analytics In 2006, British mathematician Clive Humby declared that data is the new oil-and so could be the fuel source for a new, data-driven Industrial Revolution.