Normalyze, a San Francisco, CA-based data-first cloud security platform, raised $22.2M in Series A funding.
The round, which brings total funding to $26.6M to date, was led by Lightspeed Venture Partners and Battery Ventures.
The company intends to use the funds to accelerate growth, expand operations and its business reach.
Led by CEO Amer Deeba and CEO Ravi Ithal, Normalyze is a provider of cloud data security solutions helping customers secure their data, applications, identities, and infrastructure across public clouds. With Normalyze, organizations can discover and visualize their cloud data attack surface within minutes and get real-time visibility and control into their security posture including access, configurations, and sensitive data to secure cloud infrastructures at scale. The Normalyze agentless and machine-learning scanning platform continuously discovers resources, sensitive data and access paths across all cloud environments.
The platform operates in three core phases:
- Discovery and Analysis: Normalyze builds an intelligent graph with deep context and transitive trust relationships representing all the data stores, applications, identities and infrastructure resources in all clouds and how they all connect. The agentless data scanner then determines what data stores house sensitive information and automatically maps it to specific profiles such as PCI, HIPAA and GDPR.
- Detection and Prioritization: The prioritization engine will identify risk paths discovered through the graph and prioritize them based on the sensitivity of the data at risk and impact of the attack.
- Remediation and Prevention:Normalyze integrates with a variety of external tools for notification, ticket creation, workflow triggering, etc so users can automate remediation through an orchestration engine.
FinSMEs
28/06/2022