Symmetry Systems Zero Trust Data Assessments

Modern security teams use Symmetry Systems’ Zero Trust Data Assessments to develop an accurate understanding of their data from types of data and sensitivity of data objects, their locations, who and what is entitled to access the data, how it is secured, and in what manner it has been accessed. Only with deep insights into their data security posture can organizations properly follow the Zero Trust philosophy to protect their users, their data, and their ability to grow their businesses securely.

About Symmetry Systems Zero Trust Data Assessments

Our customers work closely with our data security experts to conduct Zero Trust Data Assessments. The end result? Unique Zero Trust insights into the data security posture of each data object. Zero Trust Data Assessments provide:

  • Immediate visual insights and evidence of Zero Trust violations across their hybrid cloud data stores.
  • Detailed evidence that can be used to answer critical data security posture questions that help outline a successful Zero Trust-based security strategy.
  • Recommended actions to fortify customers’ data security posture to ensure the Zero Trust philosophy can be applied across the organizations’ data stores.

During Zero Trust Data Assessments, the Symmetry Data Security team uses DataGuard to perform an agentless scan and quickly identify our customer’s hybrid cloud data stores to unearth challenges, misconfigurations, and violations. With evidence documented, our customers can adjust identity access management (IAM) policies on individual data objects at scale. This way they can make sure that only the right users and technologies have the right access to the right data, and that authentications for those users are in line with Zero Trust requirements.

With Zero Trust Data Assessments, our customers are armed with clear and immediate insights into data access, user permissions, and operations taken against data. Security teams use Assessment results to close entry points that otherwise might have been wide open, reducing the risk of data breaches and other unintended data access.

Data out

Zero Trust Data Assessment Outputs

Data asset inventory & data flow analysis

  • Detect the presence of sensitive and confidential data.
  • Identify dormant data that may no longer be required.

Visibility into and identification of data risks

  • Admin accounts and break glass accounts that unnecessarily increase cyber risk exposure.
  • Gaps in micro-segmentation policies that create vulnerabilities.
  • Dormant accounts with high levels of privilege, which if activated, could have a broad data blast radius.
  • Derived permissions, to understand how secondary user permissions or toxic permission combinations might increase cyber risk exposure and take corrective action.
  • Ensuring data operations are no longer being executed after remediation.

Granular Zero Trust at the data object level

  • Identify and reduce:
    • Overprivileged users.
    • Excessive SRE or top-level admin access rights with tighter control.
    • Cross account or cross cloud operations against data.
  • Minimize supply chain risk associated with:
    • Overprivileged vendors, partners, contractors, and third-parties to ensure that only necessary access permissions have been granted.
    • Improperly offboarded contractors, vendors, and third-parties so that organizations can ensure permissions have been completely removed and cyber risk exposure has been reduced.

Evidence-Based Zero Trust  

Zero Trust Journey

Zero Trust Data Assessment Outcomes

Identify

  • Identify and visualize where data, and particularly customers’ sensitive data is stored. 

Protect

  • Visualize and identify accounts with access to sensitive data including third-party identities and accounts. 
  • Understand who has access to which sensitive data in customers’ multi-cloud environments and enforce relevant zero trust control

 

Detect

  • Keep track of who is using customers’ data and what they are doing with it. 
  • Detect violations of least privilege for data access. 

Respond & Recover

  • Identify and prioritize dormant identities and unused data stores to minimize the data blast radius. 
  • Use visual evidence to recommend cloud data access entitlement policy changes.

Ready to secure your data with precision and scale?  

Stop chasing threats at your perimeter – know your data security posture and protect your mission critical data.

Submit the form below to get a personalized demo from one of our security experts.