Data security should always be a top priority for every organization.
The hybrid remote working method has successfully increased the threat actors’ chance of gaining access to sensitive data. Many organizations failed to implement sufficient data security practices, thus they tend to make mistakes in addressing data breaches and attacks.
Here are the common mistakes when addressing Data Security:
Failed to understand the real threat. Nowadays, receiving a cybersecurity threat is as easy as getting phishing emails which happens daily. A company should adopt a strong security culture that will improve the employees, suppliers, and the executive team’s understanding of these threats.
Inadequate workforce training. Lack of training significantly increases the risk for human error. Security training should be facilitated through an enthusiastic multi-pronged proactive approach that will contribute to security awareness.
Failed to address security threats as Business Issue. Seeing security threats and privacy just as an “IT problem” will only lead to misalignment. Data security should be included in the Business objectives and overall security operations.
Failed to seek automated data discovery. Unable to accurately assess where the data is, how much data they have, and how that data is being accessed and used will lead to a huge dilemma. Seeking automated data discovery and classification tools will help detect and analyze the existence and usage of data.
Reactive against data security. Taking a proactive stance, thinking ahead, and planning for the worst-case scenario is the best way to control and protect the organization from data breaches. Organizations should keep in mind that these hackers will always find their way through perimeter defenses in order to gain access to the network.
Even before the pandemic, businesses had begun to face an extremely complex threat landscape. In order to take steps ahead, make sure to implement an efficient data-centric security solution along with cultivating a healthy culture of data security and privacy.