#Redshift data sharing how to

Strong access control policy can help to protect against external threat and inside threat by limiting users access to sensitive data. Features like RBAC and SSO are the first security guards to limit access to sensitive information inside the organization.ĭuring our work with customers we have seen so many cases of excessive privileges that are difficult to track and exposing their data to a real danger. Implement least privileged access to sensitive data on redshiftĪccess control is the front gate to the data and the assets containing the data. A popular service, Redshift, is used by more than 20,000 companies.Īs a widely used data warehouse containing sensitive personal and intellectual property data, you need to secure your deployment to comply with privacy laws and mitigate data breach risk.

Based on PostgreSQL, its performance enables extremely fast query execution on extremely big data sets by employing several features such as:Īccording to Amazon, Redshift delivers business value with two to seven times better price performance on high-concurrency and low-latency real world analytics.

Redshift is a fully managed data warehouse service (such as Google BigQuery and Snowflake). Implementing robust access management controls is the first step to protecting sensitive data stored in Redshift. To mitigate security and privacy risks, you need to appropriately configure security features and follow practices. However, often, organizations struggle to correctly configure and implement these features because the manual processes can be time-consuming and require specialized skills. When correctly configured, Redshift’s security features and capabilities protect sensitive data from leaks or other security incidents.

TL DR This is a first in a series of blogs that exposes security risks, possible attack vectors, and how to hunt and prevent them using Data detection and Response (DDR).

#Redshift data sharing how to