How digital transformation is significantly impacting business and security.
Every organization is different and how they handle their sensitive data is just as diverse. But every organization, no matter size or industry, should be asking themselves these 4 questions. Where is Our Sensitive Data and Who has Access? Even highly regulated industries have a tough time identifying data that could be deemed sensitive, much less discerning its sensitivity level. This includes not only personal information but also intellectual property….
The landscape of the traditional perimeter security model is changing as many market segments, such as financial services, march toward digital transformation. Although the traditional approach of using firewalls, VPNs, and NAC technologies is still relevant to internet defenses, additional security solutions such as a Zero Trust model is necessary to mitigate malware, attack, breach, and data leakage assaults. These zero trust models utilize authentication, authorization, and verification controls for…
It’s startling, but in 2017 more than 16 million Americans reported having their identities stolen. In response, federal and state governments, and industry regulators have enacted laws requiring organizations to improve their handling of sensitive data and have stipulated stiff monetary and licensing penalties for those that do not comply. Like identity fraud, one of the most valuable targets for cyber attacks is data-at-rest due to the immense amount of…
Valley Hope Association’s mission is to help people overcome their dependence on alcohol and drugs. At their 16 addiction treatment centers, therapists and staff focus on helping people remove the triggers that drive their addictions in a safe and secure environment. But like so many non-profits, Valley Hope’s good intentions for protecting their patients weren’t enough to prevent hackers from exploiting their IT security weakness. Last week, 70,000 Valley Hope…
The well-supported adage is that it takes years to get a loyal customer and only seconds to lose them. One of the biggest mistakes you can make is putting your customers’ personal information at risk. A recent survey conducted by Ping Identity reveals many consumers are making drastic changes to the ways they interact with companies and secure their own personal data following a breach: 78% would stop engaging with…
What is data protection? Data protection is the process of keeping information safe from loss, corruption, and hacking. Every single business or organization in 2019 has sensitive data they wouldn’t want to land in the wrong hands. From personal company information like business plans and employee data to consumer information like names, social security number and credit card numbers, keeping this sensitive data protected is of vital importance. Over the…
Sensitive data falls into two broad categories: regulated and unregulated data. Regulated data is always sensitive, though to varying degrees, and should always be classified. The vast majority of unregulated data (which includes all publicly known information) is not always sensitive. However, unregulated data can also include highly sensitive information (e.g., company confidential data, intellectual property or sensitive data unique to the organization), so you must apply your data classification process…
At the 2016 RSA Conference in San Francisco, CA, Todd Feinman, CEO and Gabriel Gumbs, VP of Product Strategy presented on Sensitive Data Management Maturity – The DLP Missing Link. As a company and with the help of industry professionals, we created a Sensitive Data Maturity Model to help organizations identify where their data is, who owns it, what should be done with it, and how much of it exists….
Sensitive Data Classification Data classification is simple—it entails taking security measures by assigning a level of sensitivity to each piece of information, making it easier to locate and retrieve. Classifying data is essential in enabling enterprises to make sense of their vast amounts of data. Without sensitive data classification, an organization treats all data as if it were the same. You can’t know the level of sensitivity of any specific…