Additional Info

CompanyLaminar
Websitehttp://www.laminarsecurity.com
Company size (employees)50 to 99
Headquarters RegionMiddle East
Type of solutionCloud/SaaS

Overview

The Laminar Data Security Platform is the first agile data security platform that provides organizations the visibility and control they need to achieve security, privacy, and governance in the cloud. Laminar’s cloud-native DSPM provides autonomous and continuous data discovery, classification, and protection across AWS, Azure, Google Cloud, and Snowflake via one single dashboard. Agentless security proactively uncovers cloud data, classifies it based on its sensitivity and business impact, detects and prioritizes data security policy violations, and delivers guided remediation. Laminar deploys in minutes and integrates with existing security stacks and process flows, empowering teams to deliver agile data security at the pace of innovation.

How we are different

Laminar automatically and continuously discovers and classifies all sensitive data. Security teams can have visibility to proprietary and regulated data, including shadow and redundant, obsolete, and trivial (ROT) data across AWS, Azure, Google Cloud, and Snowflake in a unified view that is configurable to meet your security, privacy, and governance requirements.


Laminar finds, prioritizes, and fixes policy violations for all data as it travels through the cloud. Laminar identifies the most important data that businesses need to safeguard, taking into account both the data's substance and state of security. Laminar’s cloud-native DSPM monitors the evolution of the security posture against a broad set of pre-built policies that are in line with privacy laws, compliance controls, and security best practices.


Enterprises can control data exposure in the cloud using Laminar DSPM. Organizations can locate all exposed sensitive data, lost data, incorrectly configured controls, or overexposed access, and fix any issues across Snowflake, AWS, and more. Laminar helps companies safeguard their most important data first by giving sensitive and regulated data the highest priority depending on its sensitivity level, security posture, volume, and exposure.