Normalyze uses cloud provider APIs to constantly discover new datastores as they are instantiated in your ever-changing cloud environments. Using the patented Single-pass Scanner, Normalyze provides the most accurate classification of data in the market. Unique cloud orchestration architecture enables you to scan your data at scale (we routinely handle petabytes of data in cloud environments) without having to manage the scanners.

Data security teams constantly grapple with the huge number of data stores that they need to protect while realizing that not all data stores are created equal. Using the patent-pending DataValuator technology, Normalyze can estimate the cost of breach for each data store helping teams prioritize their security efforts around what matters most. Combined with insights about access and exposure risks, the robust risk matrix allows teams to focus on data stores that carry both a higher likelihood of breach as well as higher financial impact to the organization if breached.

By analyzing IAM roles, permissions, database grants etc for user and machine identities Normalyze can quickly identify who has what type of access to a given datastore. Further, by analyzing access logs, Normalyze can conclude who is and who isn’t making use of the permissions they have. The result is the ability to quickly determine a large portion of user and machine identities that have permissions to access your valuable and sensitive data but don’t really need it. By removing those accesses, teams can achieve least privilege access to data and reduce potential attack surface by huge margins.

Normalyze further brings in information about all compute and networking resources as well as PaaS services within the cloud provider that are being used by the organization. It detects misconfigurations and vulnerabilities present in each of these resources. This information is organized as a graph within the Normalyze platform, which allows users to understand and detect paths a potential attacker can take in order to get to the crown jewels. This is done on a continuous near real-time basis, ensuring that changes going into your cloud environments that expose data are quickly detected. Further, Normalyze provides guided remediation steps for each of the risks identified making it easy to fix them.

Normalyze continuously identifies and highlights data privacy gaps against regulatory compliance benchmarks. Compliance violations are tagged with both the applicable compliance framework and the individual control that has been violated, so analysts know right away the impact on compliance posture.

Normalyze helps data and security teams scan for data being used in Large Language Models (e.g., Microsoft Copilot, ChatGPT) to prevent AI-generated content from using unauthorized data. Normalyze also helps discover unsanctioned Gen-AI apps deployed within cloud environments.

Snowflake customers have advanced tools to automate data discovery and classification of massive amounts of data, along with precise access management using a customized Data Access Graph.