What you should know from day one is that data leaks can cause serious damage to your business, regardless of the size of your organization. Even if you are not a cybersecurity expert, you should have a good understanding of the data leakage practices. Have you ever asked your IT staff:
How long does it take to become aware of leaked data and what is our plan if all our financial information, employee credentials, or customer data becomes publicly available?
As a manager, you are responsible for the protection of your assets, customers’ loyalty, revenue, or stocks. Hence, detecting data leakage is a must for every serious company.
You can invest a lot of money in data protection solutions. Unfortunately they do not provide 100% protection. For this reason, you should also deal with the discovery of leaked data.
In this white paper, we give you some insights into the data leakage best practices. We explain which forms of data leakage occur most frequently, how to prevent them, and how to detect them quickly and efficiently.
Data leakage is an uncontrolled or unauthorized transfer of classified information to the outside world. You can call it a nightmare for your company, as the loss of information is associated with high fines according to GDPR, damage to reputation, and loss of business.
For most of companies, it takes 197 days to identify a data leakage, according to the 2018 Cost of a Data Breach Study by the Ponemon Institute. Let’s get clear, if you can identify and combat an incident within 30 days, you have a significant advantage over your less responsive competitors and save an average of $1 million in containment costs.
Penalties and damage to reputation are only a small part of your problem. Threat actors, like APT-28, leverage exposed data as part of the OSINT reconnaissance stage of their campaigns, as explained in our OSINT article. Threat actors use this information to exploit your organization and launch more targeted cyber attacks resulting in even higher damages.
Data leaks cause a high loss of money. You should try to prevent and detect this.
A study conducted by Symantec says that more than 40% of data breaches are caused by insiders’ or employees’ negligence. Data is lost either accidentally or on purpose.
In sum, there are a lot of different ways to prevent data leakage. There is a simple problem with it: Data leakage prevention solutions are not sufficient and we will explain why.
In recent years, we have met many companies that have invested a great deal of effort and budget in securing their IT infrastructure to prevent data leakage. The shot backfired.
Sales managers and developers were no longer able to work with IT in a meaningful way and switched to using their private and non-secured IT. This can be proven very easily by having a closer look at the Dropbox hack 2012. Our insights confirm that costly data loss prevention solutions were circumvented.
We collected and analyzed a lot of data services on the surface, the deep and dark web, and explain a shortlist of them in this section.
We presented a shortlist of effective tools and services to identify data leakage. You have to ask yourself whether you have enough knowledge and personnel to implement the mentioned data leakage best practices.
Our Federated Search provides one powerful interface to the above-mentioned services. It is not necessary to call the services separately which would be very inefficient, as explained in our blog post. In our Data Leakage Detection, we spent a lot of effort on automating most of the procedures.
It can be said that Traversals’ Data Leakage Detection is self-learning in order to provide analysts with the best possible support. All data leakage searches are performed autonomously by the system. In a dashboard, you see which leaks exist and how the leak is assessed in terms of criticality.
In order not to lose the overview, a task is created in our Investigation Platform for each incident. You can use the investigation platform for further analysis and find out:
Our Data Leakage Detection organizes the incident collection and handling resulting in a rapid ROI.
As you can see, data leakage detection is a crucial element, and more than important for companies of any size:
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