Table of Content
Security threats while integrating data warehouse with external data
To facilitate analysis and insights, data warehousing entails combining data from several sources into a single repository. However, there are security hazards associated with integrating external data sources into a data warehouse that need to be appropriately addressed. The following are some of the major security risks that need to be taken into account when integrating external data with a data warehouse. Security controls must be defined when connecting external data sources with a data warehouse. It is essential to comprehend these dangers in order to put in place the proper safeguards to secure sensitive data.
Unauthorized Access
The possibility of illegal access to the data warehouse and connected external data sources is one of the main security concerns. Depending on their roles and requirements, different users and applications could need different access privileges. On the other hand, incorrectly set user privileges may allow unapproved parties to access and read private information.
Establishing robust user authentication techniques, such as multi-factor authentication, is one way to prevent unauthorized access. To confine users to only the data they need for their jobs, access control lists and role-based access restrictions should be implemented. Monitoring user activities for unusual access patterns can also aid in the detection of unauthorised breaches. Encrypting data in transit and at rest adds another layer of protection against data leaks through unauthorised hands.
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SQL injection attacks
SQL injection is a type of exploit in which malicious code is injected into application queries in order to modify the database. If an integrated external application’s input validation is insufficient, attackers can use SQL injection to not only steal and manipulate data, but also execute admin commands to seize control of servers.
SQL injection attacks on external data sources can be mitigated by using parameterized queries and validating all inputs. To detect malicious payloads, rule-based checks should look for prohibited patterns. Updating the data warehouse and all integrated software with the most recent security updates improves security. Keeping an eye out for an increase in faults from external connections can identify ongoing injection attempts.
Weak authorization issue
The addition of external data sources increases the number of endpoints that must be protected from infiltration. Login credentials and connections are exposed due to insecure authentication techniques. In order to infiltrate integrated sources, attackers can use compromised credentials, weak protocols, default configurations, and other methods.
To strengthen authentication, implement password restrictions that include complexity criteria, expiration dates, and lockout rules. For secure data transfer, external connections should use contemporary encryption techniques. Unique credentials should be created for each data source, and multi-factor authentication should be implemented wherever possible. To detect a rise in failed connection attempts, logs must be monitored.
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