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Today, sensitive information is more sought after than ever, making information security a top priority. Cybersecurity has seen tremendous advances to accommodate such demand, but as it’s happened, bad actors and threat groups have made advancements of their own, and they’ve kept organizations on their toes.
To combat next-gen cyberattacks, organizations are implementing tighter security measures to protect critical data. This trend is a result not just of new security threats, but also the exponential increase in the different types of data these organizations are generating. All digital businesses deal with big data, including large amounts of personal data, such as personally identifiable information (PII), in heavily regulated industries such as healthcare, finance, and the public sector.
Compliance regulations, too, are constantly being updated to keep up with this influx of new data. The General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI DSS), and others receive ongoing review and amendment to reduce organizational data risk as much as possible. More on risk in the next section.
Today, sensitive information is more sought after than ever, making information security a top priority. Cybersecurity has seen tremendous advances to accommodate such demand, but as it’s happened, bad actors and threat groups have made advancements of their own, and they’ve kept organizations on their toes.
To combat next-gen cyberattacks, organizations are implementing tighter security measures to protect critical data. This trend is a result not just of new security threats, but also the exponential increase in the different types of data these organizations are generating. All digital businesses deal with big data, including large amounts of personal data, such as personally identifiable information (PII), in heavily regulated industries such as healthcare, finance, and the public sector.
Compliance regulations, too, are constantly being updated to keep up with this influx of new data. The General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), and the Payment Card Industry Data Security Standard (PCI DSS), and others receive ongoing review and amendment to reduce organizational data risk as much as possible. More on risk in the next section.
An effective data security strategy consists of multiple security controls working together as one to provide a comprehensive layer of protection over data both at rest and in transit. Here are some of the most commonly used means of keeping data secure:
There’s a multitude of technologies you can adopt to keep your data secure, but it’s crucial that you fill in the non-technological gaps, as well. Here are some ways to ensure you’re maximizing data security outside of your security install:
With data breaches and ransomware constant concerns in today’s climate, you need to implement proper backup software to prepare for a possible attack. Particularly with ransomware, your data is at risk of being held hostage, stolen, and sold to the highest bidder on a black market.
Backing your data up lets you keep a copy of it in case of an attack. It’s often difficult for leadership to confront the reality that an attack can happen to them, and as a result, they neglect seeking out and purchasing backup software as a failsafe for their sensitive information. Make sure you and your team are having this conversation.
Zscaler Data Protection follows users and the apps they access—protecting anywhere and anytime against data loss. Our Zero Trust Exchange™ inspects traffic inline, encrypted or not, and ensures your SaaS and public cloud apps are secure while delivering a dramatically streamlined approach to protection and operations—benefits not possible with legacy, on-premises solutions.
Zscaler Data Protection secures the four major sources of data loss by:
See for yourself how Zscaler delivers your data, secured. Request a custom product demo today.
Gartner Market Guide for Data Loss Prevention
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View the data sheetData security refers to keeping data safe from cyberthreats and data loss, whereas data privacy speaks more to the regulations and policies that revolve around the proper use of data to lower risk for a business and its customers.
For example, data protection will secure a transfer of data between a public cloud and endpoint whereas a data privacy law such as GDPR ensures that companies are using their customers’ data in a responsible and ethical manner.
Data security is not an all-at-once implementation. Rather, it’s programmatic, with different products and functions for data protection, privacy, and compliance making up a holistic data security strategy.Data security is not an all-at-once implementation. Rather, it’s programmatic, with different products and functions for data protection, privacy, and compliance making up a holistic data security strategy.
A Security Operations (SecOps) team is responsible for mitigating data breaches and/or data loss. If the team discovers a data breach or that a threat is inside the environment and searching for data, they must hunt the threat or discover the source of the breach to remediate it.
It’s much harder for businesses handling healthcare data to ensure the tools they’re using work within HIPAA guidelines. To this end, it’s important that IT security professionals representing these businesses remain in close contact with their IT partners or consultants to ensure the products they offer remain compliant.
For more information on how Zscaler helps organizations stay secure while maintaining compliance, visit our Security and Compliance page.