This blog post covers 4 data masking techniques and data obfuscation techniques that you can implement with Robotic Data Automation (RDA) to mask or hide sensitive data or personally identifiable information (PII) like social security numbers (SSNs) that may have crept unintentionally in logs or events.

Introducing SL1 Duomo. Designed to turbocharge your digital transformation journey to business growth—with the final destination of automated operations.

The world is moving fast, led by an ever-accelerating IT landscape. In recent years, two distinct types of teams have emerged that assist in driving this business transformation: DevOps/SRE teams that are in charge of driving rapid innovation of products and services, and IT Ops/NOC teams that focus on preventing outages and maintaining the high level of quality, reliability and serviceability that modern, discerning customers expect.

In 2017, McAfee found that an average enterprise uses 464 custom applications. A large enterprise — a company with over 50,000 employees — uses 788 custom apps! The more applications you have, the more complex your application environment is. This means that you are more susceptible to outages. So, the tolerance for downtime is impossibly low. Mission-critical applications must be available at all times.

At 8:54 pm on November 1, 2020, a customer of HDFC bank complained on Twitter that the bank’s services like internet banking and ATMs were down. More customers started raising similar issues over the next couple of hours, saying that UPI, credit card, and debit card transactions weren’t working either. Finally, at 11:55 pm, the bank confirmed that one of their data centers faced an outage. “Restoration shouldn’t take long,” they promised.

The cloud is driving enterprise digital transformation. Gartner predicts that by 2026, public cloud spending will exceed 45% of all enterprise IT spending, a 2.5x growth from 2021. Enterprises globally are accelerating application modernization, embracing the cloud. This is giving rise to a few key trends. Software-as-a-Service (SaaS) adoption is on the rise. So, organizations are using applications whose implementation/infrastructure they have little or no control over.