SECURITY POSTURE DETECTION OF A CLOUD ENVIRONMENT
The technology disclosed relates to detecting security posture of a cloud environment. In particular, the technology disclosed relates to detecting a triggering criterion. In response to detecting the triggering criterion, the technology disclosed automatically discovers a plurality of databases in the cloud environment. The technology disclosed then deploys a plurality of log analyzer microservices on the plurality of databases. Each log analyzer microservice, of the plurality of log analyzer microservices, is configured to scan a respective database log that represents database activities on a respective database of the plurality of databases. The technology disclosed then receives analysis results from the plurality of log analyzer microservices.
1 . A computer-implemented method of detecting security posture of a cloud environment, the method comprising:
detecting a triggering criterion;
in response to the triggering criterion, automatically discovering a plurality of databases in the cloud environment;
deploying a plurality of log analyzer microservices on the plurality of databases, each log analyzer microservice, of the plurality of log analyzer microservices, being configured to scan a respective database log that represents database activities on a respective database of the plurality of databases; and
receiving analysis results from the plurality of log analyzer microservices.
2 . The computer-implemented method of claim 1 , and further comprising:
receiving a request to on-board a cloud account in the cloud environment, wherein the cloud account includes the plurality of databases, each respective database, of the plurality of databases, including a database log generator configured to generate the respective database log that represents the database activities on the respective database; and
detecting the triggering criterion based on the on-boarding of the cloud account.
3 . The computer-implemented method of claim 1 , wherein the respective database log comprises at least one of an audit log or a transaction log.
4 . The computer-implemented method of claim 3 , wherein the respective database log comprises a slow query log that records details of queries that take more than a threshold amount of time to execute on the respective database.
5 . The computer-implemented method of claim 4 , wherein each log analyzer microservice is configured to analyze the respective database log based on one or more of:
a query execution time,
a sensitive data profile,
a user permission associated with a data access request in the respective database, or
a time series pattern of queries representing at least one of a query count, a query type, or a query user.
6 . The computer-implemented method of claim 1 , and further comprising:
detecting at least one database issue based on the at least one of a performance criterion or a security criterion, wherein generating the action signal comprises controlling a remedial action component to perform a remedial action relative to the database issue.
7 . The computer-implemented method of claim 6 , wherein the at least one database issue comprises a malicious query.
8 . The computer-implemented method of claim 7 , wherein the malicious query comprises a query to sensitive data that is executed more than a threshold number of times.
9 . The computer-implemented method of claim 1 , and further comprising determining that the database activities match a pre-defined risk signature.
10 . A computer-implemented method of detecting security posture of a cloud environment, the method comprising:
receiving a request to analyze a database in a cloud environment;
parsing a database query log corresponding to the database to obtain a parser result, wherein the database query log includes a set of log entries representing database queries on the respective database, and each log entry of the set of log entries identifies a requestor and a target dataset on the database;
based on parsing the database query log, identifying one or more query instance that match a pre-defined risk signature;
generating an analysis result representing the one or more query instance that match the pre-defined risk signature; and
generating an output representing the analysis results.
11 . The computer-implemented method of claim 10 , wherein the pre-defined risk signature defines a threshold level of access attempts of sensitive data by a particular requestor.
12 . The computer-implemented method of claim 10 , wherein the pre-defined risk signature comprises one or more of:
a query execution time,
a sensitive data profile, or
a user permission associated with a data access in the respective database.
13 . The computer-implemented method of claim 10 , and further comprising:
detecting at least one database issue based on at least one of a performance criterion or a security criterion; and
performing a remedial action relative to the database issue.
14 . A computing system, comprising:
at least one processor; and
memory storing instructions executable by the at least one processor, wherein the instructions, when executed, cause the computing system to:
detect a triggering criterion;
in response to the triggering criterion, automatically discover a plurality of databases in the cloud environment;
configure an orchestration engine to deploy a plurality of log analyzer microservices on the plurality of databases,
each log analyzer microservice, of the plurality of log analyzer microservices, being configured to scan a respective database log that represents database activities on a respective database of the plurality of databases; and
receive analysis results from the plurality of log analyzer microservices.
15 . The computing system of claim 14 , and further comprising instructions, when executed, further cause the computing system to:
receive a request to on-board a cloud account in the cloud environment, wherein the cloud account includes the plurality of databases, each respective database, of the plurality of databases, including a database log generator configured to generate the respective database log that represents the database activities on the respective database; and
detect the triggering criterion based on the on-boarding of the cloud account.
16 . The computing system of claim 14 , wherein the respective database log comprises at least one of an audit log or a transaction log.
17 . The computing system of claim 16 , wherein the respective database log comprises a slow query log that records details of queries that take more than a threshold amount of time to execute on the respective database.
18 . The computing system of claim 17 , wherein each log analyzer microservice is configured to analyze the respective database log based on one or more of:
a query execution time,
a sensitive data profile,
a user permission associated with a data access request in the respective database, or
a time series pattern of queries representing at least one of a query count, a query type, or a query user.
19 . The computing system of claim 14 , and further comprising instructions, when executed, further cause the computing system to:
detect at least one database issue based on the at least one of a performance criterion or a security criterion, wherein generating the action signal comprises controlling a remedial action component to perform a remedial action relative to the database issue.
20 . The computing system of claim 19 , wherein the at least one database issue comprises a malicious query.