Published By: Forcepoint
Published Date: Jun 06, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property without impacting an employee’s ability to do their job.
The key is to gain visibility into user interactions with data and applications. Once this is achieved, you can apply a level of control based on the specific user’s risk and the sensitivity or value of the data. An organization’s data protection program must consider the human point — the intersection of users, data and networks. Enterprises must remain vigilant of data as it moves across hybrid environments and highlight the users who create, touch and move data who may pose the greatest risk to an organization.
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
In this Executive Brief, we share best practices in how to evaluate and deploy layered controls that will help you develop a holistic approach to controls, investigate and control where risk is introduced, assess your risk appetite and benchmark your cybersecurity posture against others in your industry.
Databases are the primary target of cyber criminals and disgruntled insiders. Traditional perimeter, network security, and built-in database security measures, offer limited protection when it comes to securing the organization’s most sensitive data.