As GDPR is going into effect, it will strengthen and unify data protection for individuals, giving them control over their personal data. It affects all businesses, including non-Europeans, operating in the EU. To help cybersecurity and privacy professionals prepare for a future in which their organizations will increasingly be held accountable for the data on consumers they collect, it is time to gather some of the best technologies for cybersecurity and data protection that are present in the market.
1. Data classification
Classification is the foundation of data security. It helps in prioritizing the assets the company needs to protect. Many tools support both user-driven and automated classification capabilities. A well-planned data classification system makes essential data easy to find. This can be essential for risk management, and compliance.
2. Data access policies
Providing the right amount of data access to individual users is crucial for data protection. Authorising only key members of the teams to handle secure data makes sure that the possible data breaches are remaining at a very low state. The tools are helping in sensitive data discovery and cleaning up data access permissions to enforce least privilege.
3. Cloud data protection
Encrypting sensitive data and storing it in the cloud makes system backups safer as well, and also it makes accessing data much easier for involved parties. Online document management systems come in handy for every company, as they make accessing files easy, safe and available for all the involved parties. Always use trustworthy cloud-based document management system, make sure the server parks are located inside the EU where strict data policy regulations apply, also, read their contract to see if they have backdoor channels for your files.
4. Two-factor authentication
Two-factor authentications are very useful for preventing attackers from getting access to one’s account. Even if your password was guessed correctly by hackers, the 2nd step will stop them from entering the account. With the use of a 2nd factor it is guaranteed that even if the password is stolen, attackers cannot get into the account.
Substituting a randomly generated value, or a token, for sensitive data like credit card numbers, bank account numbers, and social security numbers makes it safer to store sensitive information. Unlike encryption, there is no mathematical relationship between the token and its original data; to reverse the tokenization, a hacker must have access to the mapping database, and this makes it much more difficult to read the data.
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