Data Protection: Secure Your Data
The data organizations create, store and process is expanding in volume and variety. The value of that data is changing and at the same time regulatory requirements are becoming more stringent, and external threats more sophisticated.
If you experience a security breach—whether accidental or deliberate—and data gets lost or falls into the wrong hands, it can have serious consequences for your organization’s competitiveness.
Data protection is critical for assets such as intellectual property, customer information, sensor data, audio files, video assets whatever combination of structured and unstructured, it’s critical that a data loss prevention policy is implemented. The more effectively you’re able to mine, analyze and secure your data, the more value it has for your organization in terms of the insights you can glean from it.
Otherwise unprotected data can become a liability.
If any of your data gets leaked or goes missing, your organization could run the risk of regulatory non-compliance or damage to its brand reputation. What’s more, you could lose a valuable source of intelligence. In addition, if the missing data gets accidentally or maliciously shared with your competitors, your competitive edge could be affected.
Data Loss Protection against Internal and External Risks
The majority of organizations have a data loss protection policy and procedure in place to protect traditional sources, but good data protection depends on ensuring they’re up to date and able to secure new sources of data—and that people understand and follow them.
Most of the data breaches reported in the media are caused by internal users’ mistakes, negligence or ignorance—such as a briefcase of confidential information left on the train, an unencrypted disk of personal data that goes astray in the post, or a video innocently posted to YouTube.
But the data organizations use and the way they’re using it are changing, making security risks harder to quantify and prevent. In the past, the data you used tended to be stored inside your organization, so protecting your perimeter and managing security behind it was usually enough to secure your data. Today’s organizations increasingly make use of externally held information and resources, such as data generated on social networks and the latest web-based tools for data analysis and visualization. This sharp rise in the level of external connectivity, combined with increasingly prevalent and sophisticated external threats, introduces more potential vulnerabilities—and calls for new approaches to data loss protection that extend beyond the perimeter.
How CSC can help secure your data
CSC can help you secure your data more effectively. Our dedicated data loss protection practice draws together specialist with capabilities and expertise in areas such as information assurance, risk management, compliance, governance and security testing. We’re familiar with the general and industry-specific regulations for data protection around the world, and we meet national and international standards for information security best practice.
We understand the new ways organizations are combining structured and unstructured, internal and externally owned data to create new business insights. Our security consultants can carry out assessments to identify risks and vulnerabilities in your environment and put in place a program to address any gaps or issues in your security architecture. They’ll help you understand
the risk attached to different data categories so that you can secure your data according to the value at risk.
We can also work with you to define, adjust or strengthen your approach to security in a specific area. If your business or operating model is changing—for example, you’re moving customer payments online; you’re considering moving data into a highly virtualized or cloud-based environment; or you want to make greater use of data on mobile devices—we can help you assess the related risks and implement the required data loss protection policy, procedures and techniques your enterprise requires.