Everyone is concerned about data security these days and for valid reasons. The expanded attack surfaces formed by highly complex IT environments, ubiquitous acceptance of cloud services, and the highly sophisticated nature of cybercriminals, are all contributing to an increase in the number of successful data breaches.
The following are a few common data security flaws that, if ignored, could result in sloppy mistakes and make a significant contribution to the next major data breach.
Inability to address known weaknesses
High-profile breaches in enterprises are frequently the result of known vulnerabilities that have stayed unpatched even after patches were released. Failing to rapidly identify and fix known vulnerabilities exposes the organization’s data to cybercriminals who deliberately seek these easy entry points.
According to a recent IBM research report, enterprises are struggling to handle data security all over multi-cloud and hybrid environments. Indeed, in a recent survey, more than 37% of respondents identified the sheer complexity of security solutions as a major obstacle that frequently hinders data governance and policy enforcement.
Inability to recognize the importance of centralized data security
Organization leaders can lose focus of the need for continuous, enterprise-wide data security in the absence of broader compliance orders that encompass data privacy and security.
New kinds of data sources can show up weekly or regularly and significantly disperse sensitive data in organizations with hybrid multi-cloud environments that are constantly changing and evolving.
Leaders of corporates that are expanding and developing their IT infrastructures may overlook the risk that their changing attack surface poses. As their sensitive data is transmitted around an extremely sophisticated and disparate IT environment, they may lack sufficient transparency and control. Failure to implement end-to-end data privacy, security, and protection controls, particularly in complex ecosystems, can be an expensive oversight.
Employing cybersecurity in silos can lead to additional issues. Organizations that have a security operations center (SOC) and a security information and event management (SIEM) solution, for example, may fail to feed those systems with insights derived from their data security solution. Similarly, a lack of interoperability among security personnel, processes, and tools can jeopardize the success of any security program.
Failure to look beyond compliance
Most businesses believe that if they pass the compliance test, they are fully secure from cyber-attacks. Security experts, on the other hand, argue that compliance is not synonymous with security. When it comes to achieving compliance, most businesses, as per cybersecurity experts, fixate on scarce resources.
They may obtain the certificate; however, this does not necessarily imply they are hacker-proof. Many enterprises with compliance have become victims of data breaches and cybersecurity attacks due to a lack of DDoS protection. These kinds of cases are increasing, and this should raise red flags for businesses that believe compliance equates to security.
Failure to recognize data security as a “business issue”
Business goals and security operations, including data security, must complement one another. As a result, establishing the greatest security and privacy posture requires both functions to enhance one another’s strategies. From a business standpoint, focusing on building a solid security culture will help reduce the likelihood of mistakes to a bare minimum, allowing the IT department to implement the most robust fail-safe policies, technologies, and best approaches across systems and important resources. Trying to view data security and privacy solely as an “IT issue” will result in misalignment. That burden cannot be carried solely by the IT team, but neither can the employees without devoted IT assistance.