Abstract: Mechanisms are provided for accessing security vulnerability issue information. The mechanisms monitor security analyst interactions with security vulnerability issues via the security management system to generate analyst interaction log data, and generate one or more security analyst models corresponding to one or more security analysts by performing a machine learning operation on the analyst interaction log data. The mechanisms generate an analyst-issue model based on the one or more security vulnerability issue models and the one or more security analyst models, and generate an issue recommendation for a security analyst based on the analyst-issue model.

Abstract: A method for ambiguity resolution in retrieving security information. A unified representation model utilizing the security information mined from a group of sources is generated by a computer system, wherein the unified representation model represents terms in the security information using vectors that describe locations in space for the terms. Distances between the terms indicate correlations between the terms, and the terms are for security concepts in the security information. The computer system represents the security concepts utilizing a group of weighted graphs that identifies semantic-relatedness between the terms utilizing the vectors in the unified representation model, wherein the group of weighted graphs enables interpreting queries with reduced ambiguity. The computer system interprets a seed query utilizing the group of weighted graphs. The computer system retrieves a portion of the security information utilizing the seed query interpreted utilizing the group of weighted graphs.

Abstract: Mechanisms are provided for accessing security vulnerability issue information. The mechanisms monitor security analyst interactions with security vulnerability issues via the security management system to generate analyst interaction log data, and generate one or more security analyst models corresponding to one or more security analysts by performing a machine learning operation on the analyst interaction log data. The mechanisms generate an analyst-issue model based on the one or more security vulnerability issue models and the one or more security analyst models, and generate an issue recommendation for a security analyst based on the analyst-issue model.

Abstract: A method for ambiguity resolution in retrieving security information. A unified representation model utilizing the security information mined from a group of sources is generated by a computer system, wherein the unified representation model represents terms in the security information using vectors that describe locations in space for the terms. Distances between the terms indicate correlations between the terms, and the terms are for security concepts in the security information. The computer system represents the security concepts utilizing a group of weighted graphs that identifies semantic-relatedness between the terms utilizing the vectors in the unified representation model, wherein the group of weighted graphs enables interpreting queries with reduced ambiguity. The computer system interprets a seed query utilizing the group of weighted graphs. The computer system retrieves a portion of the security information utilizing the seed query interpreted utilizing the group of weighted graphs.