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Beyond PCI Compliance: Why Data Security is Key to Growth and Success [Webinar Recap]

Stax

When you think about growing your business, improving data security probably isn’t at the top of your list—and that’s understandable. After all, the topic of security doesn’t sound as exciting as that latest Instagram hack and isn’t as immediately impactful as a new sales tactic.

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Credit Card Tokenization for Improving Data Security

Basis Theory

Tokenization of credit card data converts card information into a unique sequence of numbers, called a "token." " We explain more in the blog!

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What Is Access Control? A Key Component of Data Security

Agile Payments

A Key Component of Data Security What Is Access Control?

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New Data Security Requirements for ACH Originators

Agile Payments

As of June 30, 2021, a new rule on supplementing data security requirements goes into effect for ACH originators that have an annual volume of 6 million transactions or greater. Basically, the sensitive bank account data needs to be tokenized.

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Embedded Analytics Insights for 2024

From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making

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Data Security in Finance Automation

Paymerang

Although automation improves workflow efficiency and reduces manual effort, if not done right, it can leave your business open to security and fraud risks. With technological advancements like AI, automation has become a leading trend in the finance industry.

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Merchants are slowing data security funding as threats accelerate

Payments Source

Retailers are decelerating data security spending, even as attacks become more sophisticated and merchants emphasize the types of multi-channel shopping that draws attackers.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.