Data is being generated at an unprecedented scale. Although this obviously benefits businesses, it is critical for anybody trying to analyze data to be aware of the security issues that come with data management. Companies that use machine learning and analytics face many data concerns, including related to data access, data prep needs, data bias, and compliance.
Solutions for every security concern have flooded the market, ranging from access and identity management (IAM) to zero tolerance and most things in between. With the increasing complexity and frequency of threats, businesses have adopted a “more is better” approach. While this strategy is understandable, it has resulted in a Frankenstein’s monster of isolated products rather than better protection for data held by organizations. Organizational technologies are only as useful as their capacity to safeguard and function where the work is being done.
Waffling and Poor Security, and Tight Budgets Are a Triple Threat to Security
Unfortunately, poor security posture and tight IT budgets aren’t the only common problems. Employee productivity might suffer as a result of waffling between too many complex systems and require them to devise workarounds and employ unsafe behaviors to complete tasks. Sometimes, less is actually more.
Gradient Flow conducted a survey on identity management, and the results showed that the majority of knowledge workers whose jobs involve working with information technology indicated that they collaborate with multiple vendors for various security functions. These functions include identity governance, risk, compliance, single sign-on, and security operations. However, despite the existence of all of these solutions, it is still taking an excessive amount of time to carry out essential obligations. It may take several days to complete compliance activities, such as supplying the necessary teams with the information they want to carry out an audit, and that’s using the quickest possible approach. Whether it’s a reaction to a security breach or the process of providing and revoking access for new and former workers, speed matters. Toggling between various separate systems to perform different security duties is slow and frustrating.
Getting More Done With Less Effort
When it comes to leveraging the value of big data held within organizations, teams need streamlines solutions that can ensure data security while also minimizing the need to jump between different vendors. By adding functionality inside existing systems, companies can ensure that workers are familiar with their interfaces, reducing or eliminating training requirements. Additionally, this frees up IT personnel to work on other significant tasks. Your workers will have everything they need to be successful, and you will save money and avoid the problems associated with implementing new technology.
It is essential to learn how to do more with fewer resources to safeguard the business and enhance operations simultaneously effectively. This is particularly true for mission-critical programs such as cybersecurity.