- Satori, a data operations platform, announced a $20 million series A investment headed by B Capital Group and Evolution Equity Partners.
- Satori intends to assist clients in overcoming these impediments by incorporating security into data operations, ideally at the infrastructure level.
- Satori DataSecOps streamlines data access for data-driven companies by automating access controls, security, and compliance across their data architecture.
- Once configured, the platform monitors database queries and results, classifying data in motion and keeping a log of access as it creates a data inventory.
Satori, a data operations platform, announced a $20 million series A investment headed by B Capital Group and Evolution Equity Partners, with participation from Satori’s seed investor YL Ventures. The funds, which increase the business’s total raised to $25 million, will be used to support product R&D and grow its go-to-market activities in the United States, according to the company.
As organizations attempt to transfer data and analytics to the cloud, they are encountering difficulties, slowdowns, and other significant obstacles to entry in some situations. Over 90% believe that migration is taking longer than it should, owing to worries about compliance, security, and technological maturity.
In fact, according to a recent poll conducted by analytics firm Statista, around 83 percent of companies consider security to be a significant or fairly important problem when utilizing cloud computing technologies.
Satori intends to assist clients in overcoming these impediments by incorporating security into data operations, ideally at the infrastructure level. Satori, a cloud-based data access platform, enables data teams to apply controls across data stores by utilizing interfaces with Snowflake, Amazon Redshift, Amazon Athena, Amazon Aurora, Microsoft Azure SQL, and others.
Eldad Chai and Yoav Cohen, ex-executives from Imperva and Incapsula, established Satori. Following the sale of Imperva to Thoma Bravo for $2.1 billion in 2019, Chai and Cohen decided to launch Satori.
Satori DataSecOps streamlines data access for data-driven companies by automating access controls, security, and compliance across their data architecture. The Satori DataSecOps platform is particularly built for businesses that use analysts, data scientists, or BI teams to develop products and services using company data.
Without depending on native database capabilities or data management systems, Satori enables data teams to quickly adopt security and privacy best practices for their database, data warehouse, and data lake environments. Satori is designed for organizations that use the public cloud, collect or generate sensitive or regulated data as part of their operations, and have analysts, data scientists, or business intelligence teams accessing that data to build products and services.
Satori’s security policy engine is intended to protect an organization’s data by granting access to specific individuals or groups of individuals. A security policy’s primary goal is to safeguard an organization’s commercial interests. This is accomplished by implementing dynamic masking and data filtering on specific tables, columns, rows, and fields within a dataset via the Satori security policy mechanism. The security policies of Satori can be applied to a single or multiple datasets.
“We saw a dramatic shift in how companies think about data and its impact on their business, and we began looking deeper into modern-day data infrastructure,” said CEO Chai. He also stated that having worked with network, IT, and application infrastructure, they were accustomed to a set of services being provided to operate the infrastructure, such as security, access management, and governance.
However, none of these existed in the data infrastructure, and it was clear that companies would quickly run into a complexity wall if they attempted to build these services themselves.
Securing the cloud
Satori provides analytics environments with self-service data access as well as data access controls for personally identifiable information. Once configured, the platform monitors database queries and results, classifying data in motion and keeping a log of access as it creates a data inventory.
According to Chai, these features, along with a no-code data security operations model that decouples security from data, enable large-scale analytics that use sensitive information while freeing teams to execute on their projects.
“The pandemic has accelerated data migration to cloud platforms such as Snowflake, AWS, and Azure, creating a spike in the need for a DataSecOps platform to enable such scale,” Chai explained. “The company supports thousands of monthly data consumers who use Satori’s platform to consume data.”
According to Chai, the company’s near-term roadmap includes expanding into new types of data technologies, such as NoSQL, as well as providing “enterprise-oriented” capabilities through strategic partnerships. It also intends to more than double its workforce to 60 people over the next 12 months.