Normalyze - Cloud Data Security Platform

*** NOTE: For custom pricing/contract, please contact aws@normalyze.ai  for a private offer. Freemium for 1-cloud account available at https://normalyze.ai/freemium  ***

Normalyze helps organizations protect all the data they run in the cloud. Normalyze put data security at the center of information security. With Normalyze, users 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.

Through its agentless assessment, data discovery, data classification, AI driven vulnerability analysis, risk prioritization, and comprehensive remediation insights, Normalyze helps enterprises understand the complete picture when it comes to cloud data risks. That includes everything needed to be discovered and understood around the applications, infrastructure, configurations, vulnerabilities, and the identities and permissions associated with the user and system access.

The Normalyze platform initially performs its agentless cloud discovery scan to identify all cloud systems in the environment. During this discovery of cloud resources, Normalyze identifies and prioritizes everything running operationally in the cloud environment and interconnected systems. Normalyze's AI-backend also scrutinizes all structured and unstructured data within the cloud environment. A real-time, visual graph is created of all available cloud resources; what identities have access to these systems, their permissions, and all of the available data stores.

After the Discovery phase, Normalyze prioritizes proprietary, regulated, and otherwise sensitive data and ranks it in its importance and risk level. The risks are determined by vulnerability severity, the nature of the data, its access paths, and the condition of its resource configurations.

The agentless Normalyze assessments are continuous. Every time an asset is added, changed, or removed, the graph is instantly updated. In this analysis, the identity and permission information is considered, along with uncovered vulnerabilities and misconfigurations that could lead to a data breach. The AI-driven analysis will look at everything within the cloud environment and identify all of the possible paths to sensitive data and potentially viable attack vectors.

All of the discovered data, whether structured or unstructured, is prioritized based on sensitivity and associated regulatory controls (e.g. PCI DSS, HIPAA, GDPR, etc.). Normalyze will highlight the data that needs immediate attention. The Normalyze one-pass data scanner samples enterprise data to detect sensitive entries (e.g. names, social security numbers, credit card numbers, etc.) within data stores. Normalyze then connects the data via specific profiles to confirm the presence of sensitive and proprietary data. Unique to Normalyze, this scan capability helps customers reduce false-positives and increase efficiency of scans.

IMPORTANT: None of this scan data ever leaves the control of the customer or ever moves to another cloud, nor is it ever transferred to another region or nation. Normalyze only collects metadata necessary to create the visual graph.

With cloud assets discovered, data identified and classified, and then remediation prioritized based on sensitivity, enterprise security teams are ready to take steps to remedy the most pressing data risks and work down from there.

As Normalyze identifies risky conditions, its prioritization engine makes all of the conditions that place data at risk so that teams understand what steps they need to remedy the situation. Remediation efforts can be dispatched to a service management platform, or other automated measures can be taken. Specific groups or individuals can be alerted to remedy the vulnerability, or steps can be taken to remove access.