Automated Cloud Database Log Analysis for Security Posture

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Solution Overview

Problem

Organizations face challenges in understanding the data posture and access breadth in their cloud accounts, making it difficult to identify which users have access to sensitive data and which data may be exposed to malicious or unauthorized users.

Innovation Solution

The system automatically discovers databases in a cloud environment, deploys log analyzer microservices to scan database logs, and analyzes these logs for performance and security criteria, generating alerts and remedial actions as necessary.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual methods are used to analyze database logs and assess security posture, then detailed security analysis can be performed, but the process is time-consuming and requires significant human intervention

Engineering Contradiction:

Improveautomation of database log analysisVSAvoidcomplexity of security analysis system

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The system enables self-service automated analysis where the security assessment process executes autonomously without human intervention. The automated database log analyzer continuously discovers databases, analyzes logs, and generates security posture assessments independently, allowing the system to serve itself in performing security analysis tasks that would otherwise require manual execution.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

An automated database log analyzer acts as an intermediary component between raw database logs and security posture assessments. This intermediary automatically discovers databases, retrieves and analyzes logs, and translates log data into meaningful security findings, eliminating the need for direct manual analysis while managing system complexity through a dedicated intermediate layer.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive database discovery and log analysis is performed across the entire cloud environment, then complete security visibility is achieved, but the time and resources required increase significantly

Engineering Contradiction:

Improvecompleteness of security posture detectionVSAvoidtime for security analysis

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system implements continuous security analysis by automatically and continuously discovering databases and analyzing their logs without interruption. This continuous operation maintains up-to-date security posture visibility across the entire cloud environment, achieving complete coverage while minimizing time loss through automated, uninterrupted analysis cycles.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The automated database log analyzer performs preliminary actions by continuously discovering databases and preparing log analysis before security incidents occur. This proactive approach ensures complete security visibility is maintained at all times, allowing the system to detect and report security posture issues before they become critical threats.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If automated tools are used to scan database logs continuously, then real-time security detection is achieved, but the computational resources and energy consumption increase

Engineering Contradiction:

Improvedetection accuracy of security risksVSAvoidenergy consumption of log analysis system

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system employs feedback mechanisms where the automated database log analyzer continuously monitors database logs and adjusts its analysis based on detected security patterns and risk levels. This feedback-driven approach maintains high detection accuracy by focusing computational resources on relevant security threats while reducing energy consumption through adaptive, rather than uniformly intensive, continuous scanning.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250156577A1Security posture detection of a cloud environment

Publication Date: 2025.05.15 GOLDMAN SACHS BANK USA

AI summary

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.