Abstract: Detection of unknown applications is disclosed, including: detecting an event associated with accessing an application; determining target information associated with the event; and identifying the application from the target information.

Abstract: Normalizing external application data is disclosed, including: receiving external application data associated with an external application; determining normalized metadata based at least in part on inferring from the external application data; and using the normalized metadata to monitor activities at the external application.

Abstract: Classification management is disclosed, including: obtaining, via a user interface, mappings of stored elements to a plurality of classifications, wherein the mappings include prescribed security attributes corresponding to the plurality of classifications; obtaining, via the user interface, a policy that includes identifying information associated with a set of actors and a specified at least portion of the plurality of classifications; comparing a set of configured security attributes associated with the set of actors to at least a portion of the prescribed security attributes corresponding to the specified at least portion of the plurality of classifications; and outputting information pertaining to a set of discrepancies determined based at least in part on the comparison.

Abstract: Dynamic evaluation of data store access store permissions is disclosed: obtaining a set of record identifiers (IDs) associated with a selected data store associated with an external system; determining record-level access permissions associated with a user for records in the selected data store associated with the set of record IDs; inferring one or more data store-level access permissions associated with the user for the selected data store based at least in part on the record-level access permissions associated with the user for the records in the selected data store; and presenting the inferred one or more data store-level access permissions associated with the user at a user interface.

Abstract: Remediation of detected configuration violations is disclosed, including: detecting a violation associated with a configuration at a data source server; providing a remediation corresponding to the violation; and storing an audit log that includes one or more events associated with the remediation corresponding to the violation.

Abstract: Classification management is disclosed, including: obtaining, via a user interface, mappings of stored elements to a plurality of classifications, wherein the mappings include prescribed security attributes corresponding to the plurality of classifications; obtaining, via the user interface, a policy that includes identifying information associated with a set of actors and a specified at least portion of the plurality of classifications; comparing a set of configured security attributes associated with the set of actors to at least a portion of the prescribed security attributes corresponding to the specified at least portion of the plurality of classifications; and outputting information pertaining to a set of discrepancies determined based at least in part on the comparison.

Abstract: Classification management is disclosed, including: obtaining, via a user interface, mappings of stored elements to a plurality of classifications, wherein the mappings include prescribed security attributes corresponding to the plurality of classifications; obtaining, via the user interface, a policy that includes identifying information associated with a set of actors and a specified at least portion of the plurality of classifications; comparing a set of configured security attributes associated with the set of actors to at least a portion of the prescribed security attributes corresponding to the specified at least portion of the plurality of classifications; and outputting information pertaining to a set of discrepancies determined based at least in part on the comparison.

Abstract: An automated software vulnerability scanning and notification system and method provide an automated detection and notification regarding a software vulnerability. The operation of the system and the method includes obtaining software vulnerability information, periodically scanning a web application and a corresponding web server associated with an operator, and evaluating the periodic scans relative to the software vulnerability information to detect software vulnerabilities. Upon detection of a software vulnerability, a notification message is provided automatically to the operator regarding the software vulnerability.

Abstract: A threat detection system receives links from emails opened in web browsers. The received links are compared with a whitelist of trusted links and blacklisted links associated with security threats. The threat detection system sends trusted identifiers when the received links are identified in the whitelist and sends block identifiers back to the web browsers when the received links are identified in the blacklist. The trusted identifiers cause the web browsers to display a trusted message and the block identifiers cause the web browsers to remove the received link and display a warning message. The threat detection system may receive threat reports for suspected links from employees of a same enterprise and allow an enterprise security administrator to asynchronously update the blacklists and whitelists based on the threat reports received from the enterprise users.

Abstract: An automated software vulnerability scanning and notification system and method provide an automated detection and notification regarding a software vulnerability. The operation of the system and the method includes obtaining software vulnerability information, periodically scanning a web application and a corresponding web server associated with an operator, and evaluating the periodic scans relative to the software vulnerability information to detect software vulnerabilities. Upon detection of a software vulnerability, a notification message is provided automatically to the operator regarding the software vulnerability.

Abstract: An automated software vulnerability scanning and notification system and method provide an automated detection and notification regarding a software vulnerability. The operation of the system and the method includes obtaining software vulnerability information, periodically scanning a web application and a corresponding web server associated with an operator, and evaluating the periodic scans relative to the software vulnerability information to detect software vulnerabilities. Upon detection of a software vulnerability, a notification message is provided automatically to the operator regarding the software vulnerability.

Abstract: A threat detection system receives links from emails opened in web browsers. The received links are compared with a whitelist of trusted links and blacklisted links associated with security threats. The threat detection system sends trusted identifiers when the received links are identified in the whitelist and sends block identifiers back to the web browsers when the received links are identified in the blacklist. The trusted identifiers cause the web browsers to display a trusted message and the block identifiers cause the web browsers to remove the received link and display a warning message. The threat detection system may receive threat reports for suspected links from employees of a same enterprise and allow an enterprise security administrator to asynchronously update the blacklists and whitelists based on the threat reports received from the enterprise users.

Abstract: A threat detection system receives links from emails opened in web browsers. The received links are compared with a whitelist of trusted links and blacklisted links associated with security threats. The threat detection system sends trusted identifiers when the received links are identified in the whitelist and sends block identifiers back to the web browsers when the received links are identified in the blacklist. The trusted identifiers cause the web browsers to display a trusted message and the block identifiers cause the web browsers to remove the received link and display a warning message. The threat detection system may receive threat reports for suspected links from employees of a same enterprise and allow an enterprise security administrator to asynchronously update the blacklists and whitelists based on the threat reports received from the enterprise users.

Abstract: An automated software vulnerability scanning and notification system and method provide an automated detection and notification regarding a software vulnerability. The operation of the system and the method includes obtaining software vulnerability information, periodically scanning a web application and a corresponding web server associated with an operator, and evaluating the periodic scans relative to the software vulnerability information to detect software vulnerabilities. Upon detection of a software vulnerability, a notification message is provided automatically to the operator regarding the software vulnerability.

Abstract: A threat detection system receives links from emails opened in web browsers. The received links are compared with a whitelist of trusted links and blacklisted links associated with security threats. The threat detection system sends trusted identifiers when the received links are identified in the whitelist and sends block identifiers back to the web browsers when the received links are identified in the blacklist. The trusted identifiers cause the web browsers to display a trusted message and the block identifiers cause the web browsers to remove the received link and display a warning message. The threat detection system may receive threat reports for suspected links from employees of a same enterprise and allow an enterprise security administrator to asynchronously update the blacklists and whitelists based on the threat reports received from the enterprise users.