Talking of modern security tools that scan millions of devices every day and gather intelligence on billions of events, these devices have grown increasingly capable. While the whole idea is to bring more information together for threat intelligence, it is equally important to understand how all this data protection can be practiced.
Organizations never delete the data, they are always adding more, with more devices and applications. They collect, store, and access information from many locations. Many Organizations lack control over employee-owned devices, which may be used to access key data. This makes malicious insiders a real threat to companies, especially those who hold vast amounts of sensitive data. Trend Micro and Twitter are two examples of a long and growing list of Organizations that have abused legitimate access to enterprise systems and information.
With a lot of sensitive data streaming in, it is crucial that security companies re-evaluate how they store the data and who can access it. For some Organizations, this demands a closer look at the IT department, where too much access to data is provided to IT pros, who develop and test new applications.
This might be risky in many ways. When you provide access to coders and developers to production data, you allow them to see sensitive information and bring the data into potentially risky situations. Sharing data inappropriately with unauthorized entities creates a vulnerability, but this is not the only consequence.
This violates many growing data protection laws and regulations, according to which companies can only use personal data for the purposes for which it is collected. Using data to test new applications and updates is usually not the only purpose. Sharing a single user ID and password for each system is still a pretty common practice among IT and development teams. The problem that arises is, if something happens to the data, there is no way to find out who was behind the malicious activity.
With multiple people using the same user ID, there is no chance of keeping accountability for those using that ID. This makes it hard to ascertain if someone used that ID to steal key information. Failing to implement controls can make it easier for an insider to get away with data leakage or theft. Therefore, people who can access sensitive data should have their access monitored. Using individual IDs can facilitate keeping a track of employees who obtain certain types of data or share it outside the Organization.
Usually, data backup is one area where insiders can take advantage, but Organizations should take into consideration the fact that which data needs to be protected. There are many companies that have strong controls on their data that is used for production for daily work activities, but their backups are left wide open. Additionally, access to backup data is not prohibited to employees and access is granted to many people who can obtain personal information or corporate secrets.
There are many ways Organizations could put data at risk and there are some ways they can protect it.
Maintaining a historical record of all assets connected to the Internet, communications between them and who owns them can actually enable customers to identify unknown assets and potentially malicious traffic.
Engineering and data science employees who have access to back-end systems should sign an agreement. This agreement should be separate from the employee contract and must highlight the fact that they can’t use the data outside certain applications. This is your first step towards Data Security and Protection. The number of people in the Organization who could access the data is relatively small. Systems should also be segmented so that employees who do not require certain data, should not have access to it. For instance, members of the marketing team should not be able to reach back-end systems.
Lastly, the audit ensures that systems are behaving as expected. The security manager does his compliance and audit checks, but third-party pen-testing and security checks are also advisable. Maintaining separation of duties will ensure people who have access to sensitive data are different from the ones who approve that access. Offboarding and onboarding controls are also important to ensure sensitive data stays where it belongs.
Security Companies are already facing new laws and protocols that will dictate how data collected by security tools will be protected. The financial services industry is also responsible for vast amounts of sensitive data and has been tightly regulated. Therefore, there is a lot to learn from an industry that uses organizational controls and peer-to-peer collaboration to protect data.
Just like Cybersecurity Companies depend on their customers’ trust in their responsible data management, financial companies depend on public trust in the financial system. This industry has evolved “trust-building” mechanisms that allow members to share intel in a trusted network without the fear of that information being leaked or used against them.
According to Neumetric, one of the top cybersecurity companies in Bangalore, the industry has always been heavily regulated and therefore, many individual financial companies have invested in personnel, services, infrastructure, and also protocols to protect customers and themselves.
In security financial service companies are implementing new technologies including cloud computing, artificial intelligence, and machine learning for data protection.
These new technologies provide potentially game-changing business opportunities, but at the same time, they also bring new risks that institutions must manage if they are to maintain the trust of their customers. Building a strong peer-to-peer network and sharing intel is the key to mitigating risks.
Neumetric, a cybersecurity services, consulting & product Organization, can help you reduce your security cost without compromising your security posture. Our years of in-depth experience in handling security for Organizations of all sizes & in multiple industries make it easier for us to quickly execute cost-cutting activities that do not bring value to you, while you continue focusing on the Business objectives of the Organization.