Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI isn’t what’s going to be the hot topic of the next year; it’s going to be data breaches in the supply chain and the cost that companies face by not reacting quickly to this emerging threat. The cyber attack on Change Healthcare, one of the world’s largest health payment processing companies, illustrates this point. Change Healthcare was a clearing house for 15 billion medical claims annually—accounting for nearly 40% of all claims.

When 11:11 Systems appointed Kaushik Ray as its first Chief Experience Officer (CXO) nearly a year ago, it marked a pivotal moment in the company’s history. The decision reflected a deep commitment to putting customer experience (CX) at the center of its strategy and operations. The goal was clear: delivering exceptional value and customer support at every touchpoint.

AI isn’t what’s going to be the hot topic of the next year; it’s going to be data breaches in the supply chain and the cost that companies face by not reacting quickly to this emerging threat. The cyber attack on Change Healthcare, one of the world’s largest health payment processing companies, illustrates this point. Change Healthcare was a clearing house for 15 billion medical claims annually—accounting for nearly 40% of all claims.

Understanding Zero Trust IoT Zero Trust IoT is a security model that requires every device to verify its identity and security before accessing any network resources. In simpler terms, it means that no device is automatically trusted, regardless of where it is connecting from. This approach helps to prevent unauthorized access and potential security breaches. With Zero Trust IoT, each device must continuously prove its trustworthiness, adding a layer of security to networks and data.

Data has become the lifeblood of modern businesses, influencing important business decisions and powering digital transformation initiatives. As more data comes in and new sources appear, it’s important to manage this valuable asset effectively. Here is where a strong data governance system comes into play.

This webinar covers the story of how LabelBox utilized PagerDuty and Apono to create a new solution for resolving critical incidents faster and more securely.

In the past decade, organizations seeking to protect sensitive data from negligent or malicious insiders faced two choices: invest in a Data Loss Prevention (DLP) product or an Insider Risk Management (IRM) product. These solutions addressed the same problem from different angles. DLP products focused on analyzing data content to control its movement, while IRM products monitored user behavior for risky actions.