Blogs & Resources

Data risk ranking - reduce alert fatigue

Supreeth Rao

Data vulnerabilities need to be managed within an enterprise. Identifying data stores with weak security posture and knowing how they map to known data breaches or ransomware is a manual and time-consuming task.

  • Security controls and governance do NOT follow sensitive data.
  • Traditional DLP technologies do not address data leaks across cloud-native stores and warehouses and the impact of such leaks on the enterprise.

An automated data risk register to track these vulnerabilities can help organizations fix security issues more efficiently. Risk prioritization that accounts sensitivity of data and its impact on the business can better support the over-stressed security teams in prioritizing the problems.

Theom ranks data vulnerabilities as risks. Risks are ranked based on the likelihood of a data loss event and potential impact on your business so that security teams can focus their efforts on the most critical tasks at hand. Theom can estimate the lower bound on financial liability for every risk associated with the data asset. Theom can provide the top 1% of risks all sorted with impact and likelihood helping enterprises protect against those risks, the ones that matter.

Theom helps enterprises understand the business impact of the underlying data asset, thereby helping cut down the noise and get to the data-centric viewpoint for any security incident. Theom can integrate the data impact and criticality with other security alerts, cutting down alert fatigue across the enterprise.