System for rule-based event penetration and automated remediation in cloud security and compliance

Abstract

A system (100) for policy-based event penetration and automated remediation in cloud security and compliance, comprising: a security event ingestion module to collect security events from cloud environments; a policy-based processing module for analyzing, classifying, and prioritizing security incidents based on predefined policies; an automatic remediation module to perform corrective actions for detected security threats; and a compliance enforcement module to monitor and ensure compliance with regulations.

Description

The present invention relates to cloud security and compliance management. More specifically, it is a system and method for policy-based penetration of events and automatic recovery that enables real-time detection, classification, and recovery of security and compliance incidents in cloud environments.With the widespread introduction of cloud computing, companies increasingly rely on a distributed infrastructure to host applications, manage data, and perform business operations. However, the dynamic and scalable nature of cloud environments presents significant challenges in maintaining security and compliance with regulations. Conventional safety monitoring and incident response mechanisms often cannot keep pace with the sharp set of safety events, leading to delayed detection of threats and inefficient remedial action.Existing cloud security solutions rely primarily on rule-based alerts and manual interventions, which can lead to fatigue issues with alerts, oversight threats, and prolonged exposure to vulnerabilities. Moreover, safety teams must frequently correlate different event protocols, evaluate policy violations, and manually implement corrective actions, resulting in inefficiencies in responding to incidents and policy enforcement.There is a growing need for a smart system that can independently process security events, filter relevant incidents based on predefined policies, and trigger automatic remedial action to mitigate risks in real-time. Such a system would improve security compliance, improve compliance with regulations, and reduce the operational burden on the security teams.To solve the problem, the present invention provides a system for policy-based penetration of events and automated recovery in cloud security and compliance.The system processes and filters security events efficiently based on predefined policies and ensures that only relevant incidents are over-cooled for further action.The system classifies security threats in real time, reduces false positives, and improves the efficiency of the response to incidents.The system ensures compliance with industry regulations and organization safety policies by continuously monitoring events and automatically forcing corrective actions.The system initiates predefined procedures for reducing risk without manual interventions being required.The system minimizes unnecessary alerts so that the security teams may focus on critical threats.The system may be incorporated with third party security tools, security information and event management (SIEM) solutions, and cloud-native security services to improve monitoring and mitigation.The system significantly shortens the time required to remedy security incidents and improves the general security level in the cloud.In one embodiment, the present invention provides a policy-based system for penetration of events and automated recovery from problems developed to improve security and compliance management in cloud environments. The system continuously monitors security events, intelligently filters and classifies threats, and performs automatic remedial workflows to ensure real-time risk mitigation. In essence, the system uses policy driven event processing, where predefined security and compliance rules dictate how events are evaluated, escalated, and treated. Security events from different cloud sources are captured, analyzed, and filtered to eliminate noise and false alarms. Relevant incidents are then categorized based on risk levels to ensure that only critical safety threats trigger warnings and remedial action.To increase efficiency, the system may be integrated with cloud-native security services, SIEM platforms, and compliance frameworks, allowing seamless security policy enforcement. Once a security violation is detected, the system automatically initiates remedial action, such as de-access, configuration adjustments, threat isolation or security patch deployment, without requiring manual intervention. Moreover, the system provides a scalable architecture that supports multi-cloud and hybrid cloud environments and ensures consistent security enforcement across various infrastructures. Intelligent automation of the response to threats reduces alarm fatigue, improves compliance with regulations, and minimizes the time required to detect and contain security risks. By implementing policy-based event filtering and automated remedial action, the present invention significantly improves the security level in the cloud, reduces operational complexity, and allows companies to address security and compliance challenges proactively and in real-time.The invention is explained again below with reference to the figure. The following shows: FIG. 1 : shows a system for policy-based event penetration and automated remedying cloud security and compliance.FIG. 1 illustrates a system for policy-based event penetration and automated remedial action in cloud security and compliance. The system includes a policy-based event processing engine, an automated remedial module, a security event containment layer, and a policy compliance module, all of which cooperate to improve cloud security and compliance management. The security event containment layer collects security events from various sources including cloud service providers, security information and event management (SIEM) systems, and third party security tools. These events are then processed by the policy-based event processing engine that applies predefined safety and compliance policies to filter, classify, and prioritize incidents. The engine utilizes machine learning models, rule-based filtering, and contextual analyses to identify risk-rich threats while minimizing false alarms. Once a security violation is detected, the automatic remedial module performs predefined actions, e.g. de-access, configuration adjustments, isolation of resources or provision of security patches to ensure real-time risk mitigation. The compliance enforce module continuously monitors the cloud environment to ensure compliance with legal standards and organizational safety policies. In addition, the system can be integrated seamlessly into existing cloud security frameworks and provides scalability in multi-cloud and hybrid cloud infrastructures. By policy driven penetration of events and automatically solving problems, the system improves security, reduces operational complexity, and ensures proactive threat management in dynamic cloud environments.List of reference characters100 System

Claims

A system (100) for policy-based event penetration and automated remedial action in cloud security and compliance, comprising: a security event inclusion module to collect security events from cloud environments; a policy-based processing module to analyze, classify, and prioritize security incidents based on predefined policies; an automatic remedial module to perform corrective action for detected security threats; and a compliance enforcement module to monitor and ensure compliance with policies.The system of claim 1, wherein the policy-based processing engine employs machine learning for adaptive threat classification.The system of claim 1, wherein the module for automatically addressing cloud-native security service issues is integrated to respond in real-time.The system of claim 1, wherein the policy-based processing module uses machine learning for adaptive threat classification.The system of claim 1, wherein the automated remedial module is integrated with cloud-native security services for a real-time response.The system of claim 1, wherein the rule compliance module generates audit records and rules compliance reports.The system of claim 3, wherein the cloud-passing policy enforcement comprises automated configuration management to tune the security settings across different cloud providers.

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