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Data in Transit

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What is Data in Transit (Data in Motion)?

Data in transit refers to the movement of data from one location to another, such as when it is being transmitted over a network or the Internet. There are two main categories of data in transit:

  • Unencrypted data in transit is data that is not protected by any form of encryption. Anyone who has access to the network or internet connection can potentially view or intercept the data. Unencrypted data in transit is vulnerable to man-in-the-middle attacks, where an attacker can intercept and manipulate the data being transmitted.
  • Encrypted data in transit, on the other hand, is data that has been protected using encryption algorithms. This means that only those who have the decryption key can view or access the data. Encrypted data in transit is much more secure than unencrypted data, as it makes it much more difficult for attackers to intercept and manipulate the data.

This is part of a series of articles about data security.

Why Is it Important to Secure Data in Transit?

It is important to secure data in transit because it helps to protect sensitive information from being accessed or intercepted by unauthorized parties. Without proper security measures in place, data in transit can be vulnerable to a range of attacks, such as man-in-the-middle attacks, packet sniffing, and data tampering.

Data in transit faces a range of unique risks that do not apply to stored data sets. Some of these unique risks include:

  • Unsecure networks—data in transit is often transmitted over public networks and the Internet, which are inherently insecure. This means that data in transit is more vulnerable to attacks from unauthorized parties who have access to the network or internet connection.
  • Long-distance transmission—data in transit is often transmitted over long distances, which can make it more difficult to secure. This means that there are more opportunities for attackers to intercept the data and potentially manipulate it.
  • Inability to control access—data in transit is often transmitted between different parties, such as between a client and a server, making it difficult to control who has access to the data. This means that data in transit is more vulnerable to unauthorized access than stored data sets, which can be more easily secured and controlled.
  • Dynamic nature of transmission—data in transit is often dynamic and changing, as it is being transmitted from one location to another. This means that it is more difficult to monitor and secure data in transit than it is to secure stored data sets, which are more static and stable.

Securing data in transit can provide many benefits to organizations, including:

  • Protecting sensitive information—data in transit often contains sensitive information, such as customer or financial data, which can be valuable to attackers. By securing data in transit, organizations can prevent unauthorized access to this information and protect it from potential breaches.
  • Reducing the risks of data breaches—data breaches can be costly and damaging to an organization’s reputation. By securing data in transit, organizations can reduce the risks of data breaches and protect themselves from the resulting financial and reputational harm.
  • Enhancing customer trust—customers are increasingly concerned about the security of their personal information. By securing data in transit, organizations can demonstrate their commitment to protecting customer data and enhance customer trust.
  • Improving regulatory compliance—many regulations, such as the General Data Protection Regulation (GDPR), require organizations to secure personal data and protect it from unauthorized access. By securing data in transit, organizations can ensure that they are compliant with these regulations and avoid potential penalties.

Encrypting Data in Transit

There are several methods for encrypting data in transit, which can help to protect sensitive information and prevent unauthorized access or tampering. By implementing the appropriate encryption method, organizations can better secure their data in transit and reduce the risks of data breaches and other security incidents.

The primary methods include:

  • Asymmetric encryption—this involves using a public and private key pair to encrypt and decrypt the data. The public key is used to encrypt the data, while the private key is used to decrypt it.
  • Symmetric encryption—this involves using the same secret key to encrypt and decrypt the data.
  • SSL/TLS—this is a secure communication protocol that uses a combination of asymmetric and symmetric encryption to secure data in transit.
  • HTTPS—this is a secure version of the HTTP protocol that uses SSL/TLS encryption to secure data in transit.
  • IPSec—this is a secure communication protocol that uses a combination of encryption and authentication methods to secure data in transit.

Best Practices for Protecting Data In Transit

Some important best practices for protecting data in transit include:

  • Implement encryption algorithms—encrypting data in transit helps to prevent unauthorized access, as only those with the proper decryption keys can view the data.
  • Use secure communication protocols—communication protocols such as HTTPS and SSH help to secure data in transit by encrypting the data and verifying the identity of the parties involved in the transmission.
  • Implement authentication methods—authentication methods such as two-factor authentication can help to prevent unauthorized access to data in transit by requiring multiple forms of verification before allowing access.
  • Develop and enforce security policies and procedures—organizations should have robust security policies and procedures in place that outline how data in transit should be handled and protected.
  • Train employees on data security best practices—employees should be trained on best practices for data security, such as how to identify and report potential security threats, and how to handle data in transit securely.
  • Regularly monitor and update security systems—organizations should regularly monitor their security systems for potential vulnerabilities and update them as needed to keep up with the latest threats.

Protecting Your Data with Imperva

Imperva Data Security Fabric protects all data workloads in hybrid multicloud environments with a modern and simplified approach to security and compliance automation.  Imperva DSF flexible architecture supports a wide range of data repositories and clouds, ensuring security controls and policies are applied consistently everywhere.