Monad

Monad is a developer of a cybersecurity platform offering DevOps and cloud engineering teams data security tools. The company's platform and tools can focusbe onused reducingto reduce data management problems in the security industry by extracting, normalizing, and enriching data from security-relevant tools, including vulnerability management, EDR, XDR, IM, and asset-management applications. The platformUsers isare developedable to help users extract and connect the data from their essential security tools, centralize that data within a data warehouse of choice, and normalize and enrich the data. The platform is capable of extracting, normalizing, and enriching data from the most security-relevant tools including vulnerability management, EDR, XDR, IM, and asset-management applications. The platform is open and allows users to interact with data through SQL, third-party BI tools, and proprietary visualization capabilities.

Monad's platform connects to an organizationsorganization's security tools, imports and transforsmtransforms data across an environment into a unified scheme, and delivers it where the organization needs it to be delivered, be it into data warehouses or into productivity tools. The platform offers flexibility to integrate insights from any security tool into the rest of an IT environment. The platform is developed to use an organization's data to drive security and, and to in turn, secure an organizationsorganization's data.

The Monad Object Model (MOM) is a platform-independent star schema for data security, and can be applied to security data to be exported from a tool before delivering data to a customer's data warehouse or collaboration platform. The MOM is intended to allow security data and DevOps teams to interact with security data through other tools and Monad's own visualization capabiltiescapabilities. MOM is developed to offer a standardized schema for security data, including consistent and normalized schema across sources, a schema built using dimensional modeling, fact tables with dimensional tables for attributes, simplified workflows, and an ETL manager.

The Monad platform offers various integrations to allow users to integrate the third-party tools and platforms they use, and to provide Monad's insights where they need them. These integrations include those with Qualys, Snowflake, AWS, Tenable, Jira Software, Lacework, Snyk, Servicenow, PagerDuty, SonarQube, Palo Alto Networks, Slack, Databricks, and Synopsys.

Monad is a developer of a cybersecurity platform offering DevOps and cloud engineering teams data security tools. The company's platform and tools can focus on reducing data management problems in the security industry by extracting, normalizing, and enriching data from security-relevant tools. The platform is developed to help users extract and connect the data from their essential security tools, centralize that data within a data warehouse of choice, and normalize and enrich the data. The platform is capable of extracting, normalizing, and enriching data from the most security-relevant tools including vulnerability management, EDR, XDR, IM, and asset-management applications. The platform is open and allows users to interact with data through SQL, third-party BI tools, and proprietary visualization capabilities.

Monad was founded in 2020 and emerged from stealth in 2021. The company was founded by Christian Almenar and Jacolon Walker and is headquartered in San Francisco.

Monad's platform connects to an organizations security tools, imports and transforsm data across an environment into a unified scheme, and delivers it where the organization needs it to be delivered, be it into data warehouses or into productivity tools. The platform offers flexibility to integrate insights from any security tool into the rest of an IT environment. The platform is developed to use an organization's data to drive security, and to in turn secure an organizations data.

The Monad Object Model (MOM) is a platform-independent star schema for data security, and can be applied to security data to be exported from a tool before delivering data to customer's data warehouse or collaboration platform. The MOM is intended to allow security data and DevOps teams to interact with security data through other tools and Monad's own visualization capabilties. MOM is developed to offer a standardized schema for security data, including consistent and normalized schema across sources, a schema built using dimensional modeling, fact tables with dimensional tables for attributes, simplified workflows, and ETL manager.

The Monad platform offers various integrations to allow users to integrate the third-party tools and platforms they use, and to provide Monad's insights where they need them. These integrations include with Qualys, Snowflake, AWS, Tenable, Jira Software, Lacework, Snyk, Servicenow, PagerDuty, SonarQube, Palo Alto Networks, Slack, Databricks, and Synopsys.