Sentra & Wiz add data classification to cloud risks

Sentra has launched an integration with Wiz that adds data classification to the Wiz Security Graph, helping joint customers identify which cloud security findings involve sensitive data.

The integration combines Wiz's view of cloud risk with Sentra's data discovery and classification tools. Together, they are designed to show security teams where misconfigurations, vulnerabilities or attack paths intersect with regulated or business-critical information stored in cloud resources.

The announcement reflects a broader concern among security teams over the volume of cloud alerts and the difficulty of determining which pose the greatest business risk. That challenge has become more pronounced as companies deploy AI copilots, agents and machine learning systems that can expand access to internal data across multiple environments.

Wiz is widely used to map infrastructure-level risk in cloud environments, including misconfigurations and attack paths. Sentra adds information on the sensitivity of data stored in assets such as buckets and databases, including whether they contain PII, PCI, PHI or intellectual property.

According to the companies, this helps users prioritise remediation around findings that could expose sensitive information instead of treating every alert with the same urgency. Classifications and risk context are also updated automatically every 24 hours.

Data Context

Sentra discovers and classifies sensitive data across cloud environments, then shares that context with Wiz. The information appears in the Wiz Security Graph, where customers can see where a risk sits, what data it may expose, how that data is being used and who or what can access it.

Joint customers can also use the setup to filter out lower-impact findings. The goal is to reduce alert fatigue for security teams that often face long lists of technical issues without a clear picture of which matter most for compliance or business operations.

The integration also provides a shared view for security, cloud and data teams. By combining cloud posture, data sensitivity and access information in one place, it gives organisations a way to align groups that often work from different tools and risk models.

The integration runs through an agentless architecture inside the customer's cloud environment. Data does not leave that environment, and no manual exports or workflow changes are required. Users can view Sentra insights as findings inside Wiz, then move back to Sentra for more detailed file-level context, identity views and remediation workflows.

AI Pressure

The companies framed the integration around a growing need to understand data exposure as organisations expand their use of AI systems. Security concerns around AI are increasingly tied not just to infrastructure flaws, but to whether models, copilots and agents can reach overshared or poorly governed datasets.

A storage bucket or database may appear secure at the infrastructure layer while still holding sensitive information that is too widely accessible. In that case, the technical finding alone may not show the full business or compliance risk unless it is paired with data-level insight.

"As customers scale in the cloud and adopt AI, they need to know which issues actually put their most sensitive data at risk," said Oron Noah, VP Product, Extensibility and Partnerships at Wiz. "By combining Wiz's cloud security platform with Sentra's data intelligence, we give joint customers a single view that connects infrastructure risk with real data exposure, so teams can focus remediation on what truly matters to the business."

Wiz became part of Google Cloud, and the new link with Sentra sits within the Wiz Integration Network. For Sentra, the partnership extends its reach into a platform already used by cloud security teams to visualise risk across infrastructure and AI workloads.

Yair Cohen, VP Product and Co-Founder of Sentra, said many organisations already struggle to manage the volume of alerts.

"Security teams are overwhelmed by findings, and new AI initiatives will only make that worse," said Cohen. "But not all risks are created equal. By bringing rich data context into Wiz, we help teams discover and eliminate the issues that actually put sensitive information at risk, so they can reduce data risk and ensure compliance requirements, without slowing AI innovation."