Normalyze

Normalyze is an ML-based platform that helps create graphs based on context and trust relationships with data stores, applications, identities, and infrastructure resources across public cloud environments such as AWS, Google Cloud, and Microsoft Azure. The platform leverages the graph that displays the location and vulnerability of all sensitive cloud data to continuously discover, classify, and prioritize attack paths, and automatically remediates cloud data threats in real time based on the sensitivity of the data at risk. Normalyze’s data scanner scans structured and unstructured data stores (shadow and abandoned) to identify sensitive data and automatically map it to compliance profiles such as the GDPR. It automates data governance by tracking data access permissions across all cloud data stores to identify dormant users and excessive privileges, and enforces least privilege principles.

Normalyze also provides cloud data cataloging, access privilege intelligence, and risk detection capabilities for compliance audits. Normalyze also generates alerts for security risks including misconfigurations, vulnerabilities, and excessive permissions for remediation.

Its platform is offered under a freemium model for up to USD 14,995 and higher and also includes a free basic plan with limited features. The company had over 40 patent claims (4 filed patents) and an employee headcount of more than 20 across the US and India as of June 2022.

Funding and financials

In June 2022, the company raised USD 22.2 million in a Series A funding round co-led by Lightspeed Venture Partners and Battery Ventures, bringing the total funding raised to USD 26.6 million. The round marked Normalyze’s emergence from stealth, and the funds were expected to be utilized to expand its engineering and DevOps headcount and build out its go-to-market and sales strategies.