My main use case for Sentra is agentless data discovery. Sentra offers the ability to identify across the entire cloud estate data which is in the wrong environments, sensitive data which is unencrypted or unobscured, and then it flags it as high risk, which allows us to remediate that, either secure the data or potentially delete the data if it's no longer necessary but poses a risk if it was compromised by an attacker. It's all around finding ghost data and then remediating the risks associated with it. It's a best practice that customer data or production data should never be in lower environments, and sensitive data as well. Sentra allows me to find situations such as that or, while we haven't found customer data as such, we found data that is in incorrect environments. For example, there's been test data in production systems that should be in the test environments. It's the flip way around as well. Sentra is good for identifying data such as that.
Data Security Posture Management (DSPM) helps organizations maintain secure data environments by providing insights and tools to manage data security strategies effectively. It enhances risk management and reduces vulnerabilities by continuously monitoring and adjusting security measures. DSPM offers organizations a comprehensive overview of their data security landscape, ensuring that risks are identified and mitigated quickly. Organizations can benefit from its ability to automate...
My main use case for Sentra is agentless data discovery. Sentra offers the ability to identify across the entire cloud estate data which is in the wrong environments, sensitive data which is unencrypted or unobscured, and then it flags it as high risk, which allows us to remediate that, either secure the data or potentially delete the data if it's no longer necessary but poses a risk if it was compromised by an attacker. It's all around finding ghost data and then remediating the risks associated with it. It's a best practice that customer data or production data should never be in lower environments, and sensitive data as well. Sentra allows me to find situations such as that or, while we haven't found customer data as such, we found data that is in incorrect environments. For example, there's been test data in production systems that should be in the test environments. It's the flip way around as well. Sentra is good for identifying data such as that.