Data Security: Best Practices to Adopt
Data science is becoming increasingly important in today's economic world. Companies are becoming a more valuable target for cybercriminals as this trend continues. In light of these growing concerns, data science teams must embrace security.
Fremont, CA: As cybercrime grows in popularity, data security becomes more of a concern for businesses. Data scientists are under more pressure than most because their whole job centers around potentially sensitive data. Companies may be unable to perform their duties as a result of a data breach, in addition to possible financial and reputational consequences. According to IBM, the average cost of a data breach is $3.86 million. Depending on the severity of the incident, a company's reputation may be harmed.
Here are some of the best data security practices to adopt:
Protect sensitive data
Companies should hide sensitive data such as personal identifiers if they must utilize it. A substitution cypher is one of the most frequent methods for masking sensitive data. Tokenization, which replaces real values with dummy data and stores the encrypted values in a separate database, is another approach that is generally safer.
As data science is frequently a collaborative effort, professionals should consider how they interact with collaborators. While email is easy, it is not secured by default, making it unsuitable for transmitting sensitive information or database credentials. There are various services available that are designed expressly for transferring sensitive files; therefore, these are a preferable option.
Organizations should encrypt data before sharing it. They should encrypt their data while it is in their database as well. While encryption isn't a panacea for all of their security issues, it is a low-cost option to provide a second layer of defense. Companies must examine their alternatives to discover something that can encrypt their data in all contexts, both at rest and in transit.
Establish a well-defined governance policy.
Finally, businesses should develop a clear and explicit governance strategy that applies to the entire team. It will be easier to enforce safe user behavior if you have a written document outlining what people should and shouldn't do. If someone commits a security-related error, they can turn to the policy to figure out what went wrong. Everyone's responsibility in security should be defined by their governance policy. They might have a rotating timetable for who monitors and documents data coming in and out.