It is estimated that approximately 2.5 quintillion bytes of data are generated every day. This confusing amount of data constitutes for a company an inexhaustible source of value -added information that allows for informed decision making. Guaranteeing the security of this data is therefore an indisputable requirement. But, lost in the many options available to protect this very expensive asset, many companies no longer know which strategy to take.
Rising cybercrime, cloud development, explosion of mobile devices, evolution of technologies and applications … there are so many factors to consider today. At the same time, a data security breach is a more likely scenario due to the unsatisfactory appetite of cyber criminals for this new black gold. Sooner or later, any company, regardless of its sector of activity, will deal with it.
To guard against these risks and in addition to infrastructure protection measures, it is necessary to secure data throughout their life cycle. A data-centric security approach revolves around a variety of solutions specifically designed to understand, manage and secure sensitive data, whether on-premises or in the cloud. So despite infrastructure -focused security measures that have preceded businesses, this approach guarantees continued data protection.
Awareness was recorded. According to Gartner, global security and risk management spending increased 12.4% to $ 150.4 billion in 2021. Business data security budgets are rising. But at the same time, the number of data breaches reflects its furious course. According to the U.S. Identity Theft Resource Center (ITRC), 2021 is even considered a record year for data breaches that reach a global average total cost of $ 4.24 million. With the development of the Internet of Things, mobility and Cloud, data is disseminated within multiple environments, exacerbating the question of their security, companies ruthlessly lacking visibility in their location. This situation creates shortcomings in terms of security policies that, if we add to it an outdated approach to the perimeter, develop vulnerabilities in data protection programs put in place by companies.
The four major data security challenges
Four major challenges affect modern data protection architectures today.
1- Loss of control
Loss of files and leakage of sensitive information continue to affect businesses. However many organizations monitor and manage data access through identity and access management, mobile fleet management, and/or data loss prevention (DLP) systems. Despite these proven protection measures, leaks of sensitive data from corporate systems and networks continue to rise with all the consequences associated with it, particularly in terms of compliance.
2- Lack of visibility
Sharing sensitive information is common, and of course necessary, in the professional world. But when it leaves the perimeter of an organization, it is difficult to trace this data because this functionality is beyond the capabilities of most monitoring and auditing tools. The nature of the information transmitted therefore cannot be monitored or audited without the deployment of additional data-focused technologies.
3- Dangerous behavior
Data manipulation is also a major challenge; employees continue to need the fastest and most effective way to accomplish their missions. Therefore, it is not surprising that human error will still be the main cause of data leakage in 2021. Transferring sensitive data to a USB key, copying insecure documents, bypassing secure FTP servers … there are too many common examples of evading the security processes of employees, seeking only to facilitate their working conditions.
4- Too long response time
When an organization adopts a new application or new processes, the ability of users to respond and adapt is not immediate. And it is this lag – which spans weeks or even months before it is determined – that often forces security teams to intervene in “firefighter” mode during critical times when sensitive information is particularly vulnerable. in cyber attacks. Therefore, security must adapt to the speed required by the company and benefit from all the flexibility possible to adapt to this part of the unknown. Because the longer the reaction time, the greater the risk of individual actions beyond the control of security teams or the leakage of critical data.
Closing security gaps through a data-centric approach
Faced with the explosion of cyber threats, moving away from the traditional approach of only protecting infrastructure is necessary in securing what really matters: your data! Businesses today need to identify, track, share and secure all data, whether stored, used or in transit. As this becomes increasingly difficult to achieve due to increasing risk factors- employees on the move, use of USB keys, Webmail and other instant messaging…- it is necessary to strengthen security policies and apply strong enforcement. encrypt and strict access control.
Data is a very important asset, but if it is locked too tightly, the day-to-day activity of employees will slow down. The use of data-centric security solutions offers the opportunity to secure data throughout its lifecycle. Protected data that moves, is used, or rests within and outside the organization.
By Julian GouezPartner Manager, Help System
Developers and tech to deliver the GDPR
According to the CNIL, data breaches will increase sharply in 2021
Tenders related to data security should clearly target the criteria to be measured.
Data security: Is SaaS an additional key?
Texts and labels to act as European sovereign
“Synthetic data”: essential for the new era of AI