Tenable, Inc.

Accurics, Inc

Omprakash Moolchandani

Vipul Parmar

Piyush Sharma

In an aspect, a component generates a domain-specific language (DSL) query comprising an ordered set of data source-specific queries that comprises a set of chained data source-specific queries. The set of chained data source-specific queries comprises a first data source-specific query and a second data source-specific query that is configured to be executed after the first data source-specific query, with the second data source-specific query being chained to the first data source-specific query via a first field of the second data source-specific query that is linked to a first intermediate result of the first data source-specific query. The component executes the DSL query to derive a set of results comprising: a DSL query result associated with the set of chained data source-specific queries, and a set of intermediate results associated with the set of chained data source-specific queries. The component reports information associated with the set of results.

Chaining of domain specific language-based queries

Techniques for detecting and remediating vulnerabilities in a network are disclosed. A system scans a network to identify network resources and relationships among the network resources. The system generates a network topology map representing the network. The system detects vulnerabilities in the network by traversing the network topology map with a set of vulnerability definitions. The system detects a vulnerability in a network node when a data describing the node corresponds to the vulnerability definition. The system identifies patterns of vulnerabilities that correspond to potential network attacks from unauthorized entities. The system determines whether combinations of vulnerability patterns amount to a potential breach. The system prioritizes remediation actions for remediating vulnerabilities based on the type and severity of vulnerability.

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Bolingbrook, IL, United States of America

Omprakash Moolchandani