The better you understand the basics of effective vulnerability management, the better you can protect your organization’s valuable data. The pace of technological development is rapid and the various threats to data security are complex. Vulnerability management is basically about assessing, on a thorough and continual basis, the safety of your organization’s data and taking steps as needed to fix any security issues that are discovered.
What Vulnerability Management Means
First, you need to understand the meaning of the term vulnerability management. It’s not enough simply to find the vulnerabilities that exist in a data storage system, though that is a vital step. You must be able to remediate the vulnerabilities as you discover them. If you find vulnerabilities in your organization’s data storage systems but postpone remediation, you’re letting data languish unprotected, which could spell big trouble down the road should the integrity of that data be compromised. Vulnerabilities are the holes, so to speak, through which threats can get into your data systems, and vulnerability management is about finding those holes and closing them.
The Nature of Threats to Data
To perform effective vulnerability management, security analysts must understand the nature of threats to data. Threats can come from numerous areas, whether from malware, attacks on a network from inside or outside, or via telephone usage. The proliferation of new technology such as cloud-based computing and mobile devices along with changes in how data is stored, in conjunction with increasing globalization and virtualization of data, means that security analysts must understand not only the nature of existing threats, but also how new threats could manifest on the horizon of the ever-changing technological landscape.
Effective vulnerability management is an ongoing process that must be continually refined. The basics of vulnerability management, however, remain the same. Analysts must cultivate and always strive to improve their methodologies not only to find vulnerabilities but also to fix them. They must also work to keep abreast of technological developments that affect how data is stored as well as threats to data integrity that could present themselves, both now and in the future.