sensitive data | Breaking Cybersecurity News | The Hacker News

The Senate Judiciary Committee Chairman ' Patrick Leahy ' reintroduced a revamped version of the " Personal Data Privacy and Security Act " for tough criminal penalties for hackers, that he originally authored in 2005. During last Christmas Holidays, a massive data breach had occurred at the shopping giant  Target,  involving hack of 40 million credit & debit cards, used to pay for purchases at its 1500 stores nationwide in the U.S. Reason: "Target Data Breach? Seriously"?  In a statement, as published below, the Senator wrote: "The recent data breach at Target involving the debit and credit card data of as many as 40 million customers during the Christmas holidays is a reminder that developing a comprehensive national strategy to protect data privacy and cybersecurity remains one of the most challenging and important issues facing our Nation" It seems that the  TARGET Breach  was scheduled, as the best opportunity to ramp up the cyber secu

One of the most intimidating issues that gives nightmares to IT teams across organizations is data breaches or data loss. Typically, data loss happens when security is compromised and corporate sensitive data is accessed. It might fall under any of these categories: Unauthorized, intentional or unintentional exfiltration of confidential information Data spill or data leak This can happen due to external security attacks like malware, hacking or sometimes even from an internal source such as a disgruntled employee. This calls for a data loss prevention (DLP) system in place that would help you contain and avoid the loss of data. Data loss happens in many stages and can be broadly categorized into three categories: Data in Motion: Data that moves through the network to the outside, in most cases using the Internet Data at Rest: Data that rests in your database and other provisions for storage Data at the Endpoints: Data at the endpoints of your network, say, data on USB and oth

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo