Matters.AI, a Data Detection and Response platform, has developed a native API integration with cloud and AI security company Upwind to help security teams assess which cloud exposures could affect sensitive business data. The integration connects Upwind’s security context with Matters.AI’s data discovery, classification and Database Activity Monitoring capabilities, reducing the need to correlate findings manually across separate systems.
A high-severity cloud alert does not, on its own, explain which business records may be at risk. Upwind provides context on running workloads, processes, identities and network paths. Matters.AI adds information about the data associated with those environments, including its sensitivity, access permissions and activity. Bringing these perspectives together helps responders investigate the relationship between an infrastructure exposure and the data it could affect.
The integration maps Upwind findings to Matters.AI’s classification output for the affected datastore. For posture and configuration findings, Matters.AI uses a 24-hour ingestion cycle. Where Upwind is the authoritative posture source for an account, Matters.AI suppresses its own posture results to reduce duplication. Security teams can use the resulting exposure queue to prioritise findings using both cloud context and the sensitivity of the associated records. Database Activity Monitoring adds query-level information to support investigation.
“Integrating Matters.AI with Upwind’s runtime visibility is a huge leap forward for data security. By enriching our AI-native semantic engine with live process and socket telemetry, Matters.AI gives security teams a complete, single-pane view of data risk, linking real-time cloud execution directly back to the sensitive assets we protect,” said Harsh Sahu, Co-Founder & CTO at Matters.AI.
“Upwind provides real-time runtime data, enriched with deep cloud security and AI security context. Matters.AI leverages this runtime intelligence to broaden and enrich its data sets, connecting what’s happening in the cloud with the sensitive data at risk. Together, we give customers a more complete picture of risk and help them prioritize what matters most,” said Alon Saban, Head of Tech Alliances at Upwind Security.
Customers connect their existing Upwind organisation through the native API connector. Matters.AI uses the cloud posture information Upwind has already collected, avoiding duplicate onboarding of the same cloud accounts to a second posture scanner. Matters.AI’s scanning and classification take place inside the customer’s environment, while operational metadata is exchanged through API connections. The integration is intended to bring infrastructure findings, data classification and access activity together as evidence for security and compliance teams.
About Matters.AI
Matters.AI is the AI-native data security platform that thinks like an AI Security Engineer. By unifying DSPM, Insider Risk, DDR, Exfiltration Defense, and DLP into one intelligent layer, Matters.AI understands what data means, who’s interacting with it, and why, stopping threats before they become incidents. Backed by Better, CVP, Kalari, and Endiya, Matters.AI protects 50+ enterprises monitoring petabytes of data and billions of events daily. Learn more at Matters.ai.
About Upwind
Upwind is a cloud and AI security platform built to help enterprises secure their cloud infrastructure and AI environments in real time. Founded by the team behind Spot.io, Upwind combines agentless scanning with runtime sensors to give security, development and DevOps teams a unified view of their cloud and AI infrastructure, enabling them to identify high-signal risks, prioritize remediation and detect and respond to threats as they unfold. Its platform brings together cloud security posture management, vulnerability management, attack surface management, API security, data security, AI security and real-time threat detection and response. Upwind is trusted by hundreds of enterprises globally and is backed by leading cybersecurity and technology investors. The company is headquartered in the United States and led by Co-Founder and CEO Amiram Shachar.
