System for automated, compliance-aware CI / CD deployment in multi-tenant cloud environments

Abstract

System (100) for automated CI / CD delivery with a view to compliance in multi-tenant cloud environments, comprising: a) a tenant profiling module configured to collect and manage regulatory, security and custom policy requirements for each tenant; b) a source code and artifact analysis module that can be operated to check code changes and deployment artifacts for conformance violations; c) a compliance-aware pipeline orchestration module configured to dynamically adapt CI / CD workflows based on tenant-specific rules; (d) a policy decision module that interprets conformance rules and determines acceptable or denied responses for each deployment step; (e) a deployment context detection and tenant isolation module configured to enforce environmental and regional compliance boundaries; (f) a module for audit logging and compliance reporting to capture all actions, assessments and policy decisions for traceability; g) and a feedback and adaptive learning module that functions to refine conformance rules based on historical trends and user input.

Description

[0001] The present invention relates to the field of cloud computing and software delivery automation. More specifically, it relates to systems for managing compliance-aware continuous integration and continuous delivery (CI / CD) pipelines in multi-tenant cloud environments. It addresses the enforcement of regulatory, security, and tenant-specific policies during automated software delivery.

[0002] In modern software development, continuous integration and continuous deployment (CI / CD) have become essential practices for accelerating release cycles and maintaining code quality. However, deploying applications in multi-tenant cloud environments introduces significant complexity. Each tenant may have different regulatory, security, and policy compliance requirements that traditional CI / CD pipelines are not suited to address. This poses the risk of policy violations, data breaches, or legal violations when deploying software updates at scale.

[0003] Existing solutions either lack dynamic compliance validation or require manual monitoring, which impairs the agility of DevOps processes. The lack of automated, tenant-specific compliance checks in CI / CD pipelines can lead to inconsistent enforcement of security rules, incorrect environment configurations, and delays in deployment cycles. Furthermore, integrating compliance management into CI / CD tools typically requires custom scripts or third-party plugins, resulting in brittle workflows that are difficult to maintain and scale.

[0004] To address these limitations, the present invention proposes an intelligent, automated system that embeds compliance awareness directly into CI / CD workflows. Leveraging policy engines, real-time tenant profiling, and rule-based automation, the system ensures that each deployment is assessed against tenant-specific requirements before execution. This enables seamless, secure, and compliant software delivery in multi-tenant environments without compromising deployment speed or scalability.

[0005] One goal of this disclosure is to enable automated, tenant-specific compliance enforcement in CI / CD pipelines.

[0006] Another goal of this disclosure is to reduce deployment risks by pre-testing code and artifacts for violations.

[0007] Another objective of this disclosure is to dynamically adapt CI / CD workflows based on real-time compliance requirements.

[0008] Another goal of this disclosure is to improve security and data protection through strict tenant isolation mechanisms.

[0009] Another objective of this disclosure is to minimize manual monitoring and improve operational efficiency.

[0010] Another objective of this disclosure is to provide transparent audit trails and compliance reports for all operations.

[0011] Another objective of this disclosure is to support the continuous improvement of policies through feedback and learning.

[0012] Another objective of the present disclosure is seamless scaling across multi-tenant cloud environments with varying regulations. The present invention relates to an automated system for CI / CD provisioning with a focus on compliance, tailored to multi-tenant cloud environments.

[0013] It ensures that each client's legal and policy requirements are met during the software release process.

[0014] Another embodiment of the present invention is that the tenant profiling engine captures and manages individualized compliance profiles.

[0015] These profiles include data protection laws, encryption policies, and custom business rules that the system uses as a real-time decision basis for the entire pipeline.

[0016] Another embodiment of the present invention is that integrated source code and artifact scanners check each code change or package.

[0017] They identify vulnerabilities, licensing issues, or secret leaks before they reach production, preventing non-compliant or insecure assets from passing through the pipeline.

[0018] Another embodiment of the present invention is the adaptive pipeline orchestration module, which dynamically constructs CI / CD flows per tenant. It inserts policy-driven steps such as security scans, code reviews, or approvals.

[0019] Another embodiment of the present invention is the central policy decision engine, which interprets rules and makes automated compliance decisions. It leverages policy-as-code frameworks to evaluate actions in real time.

[0020] In another embodiment of the present invention, context-aware provisioning and tenant isolation from the system are strictly enforced. This includes region-specific routing, environment-based logic, and data boundary controls.

[0021] Another embodiment of the present invention is that all events, decisions, and deployments are logged by an audit and reporting module. It provides tenant-specific compliance reports, evidence, and dashboards.

[0022] Another embodiment of the present invention is that the system includes a feedback and learning loop to improve the effectiveness of the policies. Machine learning detects trends in violations and automates the refinement of the rules.

[0023] The present invention relates to a CI / CD deployment system for multi-tenant cloud environments that takes compliance into account. It ensures that software deployment complies with tenant-specific regulatory and security requirements. Key modules include tenant profiling, source code analysis, and compliance-aware pipeline orchestration. Additional components such as the policy decision module, deployment isolation, and audit reporting ensure secure and compliant deployment. The system automates, adapts, and optimizes the entire CI / CD process while adhering to strict compliance boundaries. Tenant Profiling and Policy Management Modules

[0024] This module is responsible for capturing, managing, and updating the compliance profiles of each tenant in the multi-tenant cloud environment. It collects regulatory requirements, data residency restrictions, access control policies, encryption standards, and any custom rules defined by the tenant. The module dynamically generates a policy framework tailored to each tenant and ensures that it remains up-to-date as regulations or tenant configurations change. This serves as the basis for the compliance checks performed during the CI / CD pipeline. Source code and artifact analysis module

[0025] This module scans incoming code changes, binaries, or containers for compliance-relevant attributes before they pass through the CI / CD stages. It performs automated checks for hard-coded secrets, license violations, dependency vulnerabilities, and code patterns that may conflict with tenant-specific policies.

[0026] Integrated with static analysis and Software Composition Analysis (SCA) tools, all violations are flagged and the results are forwarded to the pipeline gatekeeper, who decides on enforcement. Compliance-aware pipeline orchestration module

[0027] This module acts as an intelligent controller of the deployment pipeline, adapting pipeline behavior based on tenant policies. It orchestrates the build, test, and deployment steps, dynamically adding or removing stages depending on the compliance context. For example, certain tenants may require mandatory code reviews or automated security scans before deployment, while others do not. This module ensures that the CI / CD workflow remains compliant without requiring separate pipeline configurations per tenant. Module for policy decisions and validators

[0028] This module is the heart of compliance enforcement. It interprets tenant-specific rules and evaluates real-time deployment parameters against these rules. It uses rule-based engines and policy-as-code frameworks (e.g., Open Policy Agent) to verify that a deployment action complies with governance requirements. It supports conditional logic, timing rules, region-specific regulations, and organizational standards, and returns responses to allowed / denied pipeline gates along with human-readable justifications. Deployment context detection and multi-tenant isolation module

[0029] This module identifies the deployment context, such as the targeted cloud region, tenant identity, application type, and environment (dev / test / prod). It ensures strict tenant isolation by routing deployment jobs to dedicated compute or logical boundaries and applying network, storage, and data protection measures. The module enforces segregation to prevent cross-tenant data leaks and implements context-aware compliance restrictions, such as GDPR enforcement for EU tenants. Audit logging and compliance reporting module

[0030] To support regulatory audits and internal governance, this module logs all compliance evaluation events, decisions, pipeline executions, and deployment artifacts. It creates detailed, tenant-specific reports that demonstrate compliance with timestamps, evidence, and policy references. The reports can be exported, visualized in dashboards, or integrated with third-party compliance management platforms for end-to-end visibility. Module for feedback and adaptive learning

[0031] This module continuously improves the compliance framework by learning from pipeline execution data, policy violations, and user overrides. Using AI / ML techniques, it identifies common compliance issues, suggests policy refinements, and recommends automation improvements. Compliance teams and DevOps engineers can also provide feedback on false positives or outdated rules to ensure the system remains agile and relevant in evolving cloud environments.

[0032] The invention is explained again below with reference to the figure. It shows: Fig. : an illustration of a system (100) for automated, compliance-aware CI / CD deployment in multi-tenant cloud environments.

[0033] Fig.shows an illustration of a system (100) for automated, compliance-aware CI / CD deployment in multi-tenant cloud environments. System operation begins with the Tenant Profiling and Policy Management module, which captures each tenant's compliance requirements, including legal, security, and facility-specific policies. As new code changes are committed, the Source Code and Artifact Analysis module scans them for vulnerabilities, policy violations, and sensitive information. The CI / CD process is then orchestrated by the Compliance-Aware Pipeline Orchestration module, which dynamically builds or modifies pipeline stages based on tenant-specific policies.Before a deployment step is executed, the Policy Decision and Validator Module evaluates the proposed action against the tenant's defined compliance rules using real-time inputs and policy logic and issues an approval or rejection signal. In parallel, the Deployment Context Awareness and Multi-Tenant Isolation modules run. The Tenant Isolation module ensures that the deployment environment respects tenant boundaries and applies the required isolation and regional compliance controls. Throughout the pipeline, all decisions, validations, and executions are recorded by the Audit Logging and Compliance Reporting Module, which generates detailed reports for governance and transparency.Finally, the feedback and adaptive learning module analyzes historical deployment patterns, user feedback, and violation trends to continuously optimize the policy framework and pipeline behavior to ensure that evolving compliance standards are met without compromising deployment speed or cloud resource efficiency.

Claims

[1] System (100) for automated CI / CD delivery with a view to compliance in multi-tenant cloud environments, comprising: a) a tenant profiling module configured to collect and manage regulatory, security and custom policy requirements for each tenant; b) a source code and artifact analysis module that can be operated to check code changes and deployment artifacts for conformance violations; c) a compliance-aware pipeline orchestration module configured to dynamically adapt CI / CD workflows based on tenant-specific rules; (d) a policy decision module that interprets conformance rules and determines acceptable or denied responses for each deployment step; (e) a deployment context detection and tenant isolation module configured to enforce environmental and regional compliance boundaries; (f) a module for audit logging and compliance reporting to capture all actions, assessments and policy decisions for traceability; g) and a feedback and adaptive learning module that functions to refine conformance rules based on historical trends and user input. [2] The system (100) of claim 1, wherein the tenant profiling module dynamically updates the compliance policies in response to changes in legal regulations or organizational rules. [3] The system (100) of claim 1, wherein the source code and artifact analysis module is integrated with third-party static analysis and software composition tools to improve violation detection. [4] The system (100) of claim 1, wherein the pipeline orchestration module selectively introduces user-defined stages such as code review, security scans, or manual approvals based on tenant rules. [5] The system (100) of claim 1, wherein the policy decision module uses a policy-as-code framework to enable dynamic and programmable rule enforcement. [6] The system (100) of claim 1, wherein the tenant isolation module provides data and network level separation by routing workloads to tenant-specific virtual environments or cloud regions. [7] The system (100) of claim 1, wherein the audit logging module generates tenant-specific reports with timestamps, policy references, and evidence of use for regulatory audits. [8] The system (100) of claim 1, wherein the feedback and adaptive learning module applies machine learning algorithms to suggest policy optimizations and predict compliance bottlenecks

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