Insider Risk, data exposure jeopardy!

Insider risk refers to the potential for employees or other insiders to misuse or mishandle sensitive data within an organization. This can include actions such as stealing data, sharing confidential information with unauthorized parties, or intentionally or unintentionally compromising data security.Insider risk can occur in a variety of forms, including:

Malicious Insider: An employee or contractor who intentionally misuses or mishandles sensitive data for personal gain or to cause harm to the organizationAccidental Insider: An employee or contractor who unintentionally causes a data breach or compromise due to lack of training, awareness, or oversight

compromised by an external party, who then uses this access to steal or compromise data

Insider risk can have serious consequences for organizations, including financial loss, reputational damage, and legal and regulatory penalties. That’s why it’s important for organizations to have a robust data governance and risk management strategy in place to detect and prevent insider risks.

So how can we address insider risk with support of technology?

 

 

Microsoft Azure Purview is a data governance service that helps organizations discover, understand, and manage their data. One of the features of Azure Purview is the ability to detect and prevent insider risk, which refers to the potential for employees or other insiders to misuse or mishandle sensitive data.

Purview uses machine learning and natural language processing to classify and label data, making it easier to identify and protect sensitive information. It also provides access controls and monitoring capabilities to help organizations track and manage data usage by employees and other insiders. Additionally, it provides automated alerts and reports to help organizations quickly identify and respond to potential insider risks.

Azure Purview includes a feature called “Insider Risk Management” that allows organizations to detect and respond to potential insider risks. This feature includes: