Organizations need to align with an increasingly large number of regulatory regimes, and will continue to do so as they build and deliver more software and more compliance requirements are introduced. These requirements are expanding beyond the traditional credit cards (Payment Card Industry Data Security Standard [PCI DSS]), health privacy (HIPAA) and personal privacy (GDPR), to include cybersecurity mandates (NIST 800-218) and government mandates (FEDRAMP, DORA [EU]).
Compliance automation tools in DevOps enable organizations to achieve and report on compliance as an integrated part of their delivery pipelines. These tools allow automated enforcement of security and compliance policies as part of application delivery workflows in secure, change managed toolchains, and for the efficient generation of audit reports and publishing them to audit consumers. Platform and product engineering teams can use the tools to report on and meet their organizations’ regulatory framework requirements.

DevOps Continuous Compliance Automation Tools

3D Print Service Bureaus

3D Printing Workflow Software

4G and 5G Private Mobile Network Services

4PLs

5G Enterprise Data Services

5G Network Infrastructure for Communications Service Providers (Transitioning to CSP 5G Core Network Infrastructure Solutions ; CSP 5G RAN Infrastructure Solutions)

A/B Testing Tools

AI Avatars

AI Code Assistants

AI Offerings in CSP Network Operations

AI and Data and Analytics (D&A) Service Providers

AI in CSP Customer and Business Operations

AI-Augmented Software-Testing Tools

AI-Enabled Interview Intelligence

AI-Enabled Translation Services

AIOps Platforms

API Management

API Protection

Absence Management Software

Access Management

Account-Based Marketing Platforms

Account-Planning Tools

Accounting Practice Management Software (APMS)

Accounts Payable (AP) Recovery Audit Services

Accounts Payable Invoice Automation Solutions (Transitioning to Accounts Payable Applications)

Active Metadata Management

Ad Tech Platforms

Ad Verification Tools

Adaptive Project Management and Reporting

Advanced Analytics Service Providers for Marketing

Advanced Contract Analytics

Advanced Distribution Management Systems

Affiliate Marketing Platforms

Alternative Legal Service Providers (ALSPs)

Analytics Query Accelerators

Analytics and Business Intelligence Platforms

Analytics and Decision Intelligence Platforms in Supply Chain

Anti Money Laundering (AML) Software

Applicant Tracking Systems (ATS) (Transitioning to 'Talent Acquisition (Recruiting) Suites')

Application Composition Platform

Application Crowdtesting Services

Application Delivery Controllers

Application Development Life Cycle Management

Application Integration Platforms

Application Platforms

Application Portfolio Management Tools

Application Security Posture Management (ASPM) Tools

Application Security Testing

Application Testing Services, Worldwide

Artificial Intelligence Applications in IT Service Management

Asset Investment Planning Solutions for Energy and Utilities

Asset Leasing Software

Asset Performance Management Software

Audience Intelligence Platforms

Audit Management Solutions

Augmented Analytics

Augmented Data Quality Solutions

Augmented Reality Development Software

B2B Customer Community Platforms

B2B Gateway Software

B2B Marketing Automation Platforms

B2B Profit Optimization Software

BPM-Platform-Based Case Management Frameworks

Background Check Software

Backup as a Service

Balance Sheet Management Software

Banking Payment Hub Platforms

Bankruptcy Software

Barcode Software

Benchmarking Services for Transportation Rates and Logistics Performance

Benefits Management Software

Blockchain Advertising Platforms

Blockchain Consulting and Proof-of-Concept Development Services

Blockchain Platforms

Blockchain as a Service

Brand Advocacy Services

Brand Compliance Software

Brand Protection Software

Brand Strategy Agencies

Breach and Attack Simulation (BAS) Tools

Business Continuity Management Program Solutions

Business Process Automation Tools

Business Process Management Platforms

Business Valuation Software

Business-Outcome-Driven Enterprise Architecture Consulting

CPS Protection Platforms

CRM Customer Engagement Center

CRM and Customer Experience Implementation Services

CRM in Life Sciences

CSP 5G Core Network Infrastructure Solutions

CSP 5G RAN Infrastructure Solutions

CSP Customer Management and Experience Solutions

CSP Revenue Management and Monetization Solutions

CSP Service Design and Orchestration Solutions

CSP Service and Network Assurance Solutions

Candidate Relationship Management (CRM) Software

Capital Investment Management Software

Carbon Accounting and Management Software

Carbon Offset Platforms

Cash Flow Management Software

CloudBees Platform

Drata

I've built this framework that my firm leverages for AI and Predictive Analytics Initiatives as a structure for AI adoption/governance


1. Looking for feedback on is anything missing, is it useful.
2. Sharing with the group to leverage for their own needs.


1. AI Strategy
Set Business Goals 
Do Opportunity Assessment
Develop Strategy 
Develop Roadmap


2. AI Readiness
Audit Data
Evaluate Infrastructure
Assess Organization readiness
Select Use Cases


3. Solution Design
Design Solution Architecture
Select Models
Build Models
Integration Strategy


4. Adoption and Change
Transform processes
Train users
Build Change Strategy
Develop CD/CI


5. Governance
Ethics and Compliance Policy
Model Monitoring and Tuning Framework
Ensure scalability
Design Ongoing support

Yours looks like a very good framework.
However, I note the People dimension is missing, from cultural change to role-specific learning. Aspects like recruit/develop, job descriptions, goals, objectives and maintain/reward frameworks. AI and AIOps/DevOps/CI/CD is a lot about tools and process, but without people and the right collaboration culture, it falls apart. I copy it below. We developed it from desk research and with advice from Gartner, PwC and Microsoft advisors.


•Assess & Plan
1.Conduct a Current State Assessment: Evaluate current capabilities, processes, tools, and culture. Identify areas for improvement related to Agile and DevOps practices.
1.Set Clear Objectives: Define what you aim to achieve with Agile and DevOps transformation, including improved deployment frequency, reduced lead times, higher service reliability, and better alignment between IT and business.
1.Develop a Transformation Roadmap: Outline a step-by-step plan to transition to Agile and DevOps. This should include short-term wins and long-term goals, with a focus on incremental improvements.
•Cultivate an Agile DevOps Culture
1.Foster a Collaborative Culture: Encourage  communication, collaboration, and a shift from siloed operations to integrated teams. Promote a culture of continuous learning & experimentation.
1.Implement Agile Practices: Adopt PM2 Agile methodologies. Train teams on principles and practices, establish cross-functional teams that include business, development, and operations.
1.Promote DevOps Principles: Emphasize importance of automation, continuous integration (CI), continuous delivery (CD), proactive monitoring. Encourage shared responsibility for the entire lifecycle.
•Restructure Teams and Processes
1.Create Cross-Functional Teams: Form teams that are responsible for specific products or services, combining skills from development, operations, QA, and business analysis.
1.Adopt Product-Centric Approach: Shift from project-based to product-based IT, where teams are focused on continuously improving and adapting their products.
1.Decentralize Decision-Making: Empower teams to make decisions quickly and autonomously, with a focus on delivering customer value.
•Implement Tools & Practice
1.Set Up DevOps Toolchain: Invest in tools for version control, CI/CD, configuration management, containerization, and monitoring.
1.Automate Everything: Automate repetitive tasks, including code integration, testing, deployment, and infrastructure provisioning.
1.Implement Continuous Integration and Continuous Delivery (CI/CD): Integrate code into shared repository frequently, automatically test changes, & ensure code can be moved at any time.
1.Adopt Infrastructure as Code (IaC): Manage infrastructure using code & automation tools, in consistent and repeatable environments.
•Measure & Improve
1.Define Key Performance Indicators (KPIs): Establish metrics to measure the success of your Agile and DevOps practices, such as deployment frequency, change lead time, change failure rate, and mean time to recovery (MTTR).
1.Implement Feedback Loops: Use monitoring and logging tools to gather data on application and infrastructure performance. Analyze this data to identify areas for improvement.
1.Continuously Iterate: Use the insights gained from metrics and feedback to make iterative improvements to processes, tools, and products.
•Training & Development
1.Provide Training: Offer comprehensive training programs on Agile and DevOps practices, tools, and mindset changes required for all team members.
1.Encourage Continuous Learning: Promote an environment where continuous professional development is encouraged, and learning new skills is supported.
•Governance and Compliance
1.Update Governance Models: Adapt governance, risk, and compliance models to fit the Agile and DevOps ways of working, ensuring that they support rather than hinder agility.
1.Ensure Continuous Compliance: Integrate compliance and security checks into the CI/CD pipeline to ensure continuous compliance with regulatory and security standards.

Yours looks like a very good framework.
However, I note the People dimension is missing, from cultural change to role-specific learning. Aspects like recruit/develop, job descriptions, goals, objectives and maintain/reward frameworks. AI and AIOps/DevOps/CI/CD is a lot about tools and process, but without people and the right collaboration culture, it falls apart. I copy it below. We developed it from desk research and with advice from Gartner, PwC and Microsoft advisors.


•Assess & Plan
1.Conduct a Current State Assessment: Evaluate current capabilities, processes, tools, and culture. Identify areas for improvement related to Agile and DevOps practices.
1.Set Clear Objectives: Define what you aim to achieve with Agile and DevOps transformation, including improved deployment frequency, reduced lead times, higher service reliability, and better alignment between IT and business.
1.Develop a Transformation Roadmap: Outline a step-by-step plan to transition to Agile and DevOps. This should include short-term wins and long-term goals, with a focus on incremental improvements.
•Cultivate an Agile DevOps Culture
1.Foster a Collaborative Culture: Encourage  communication, collaboration, and a shift from siloed operations to integrated teams. Promote a culture of continuous learning & experimentation.
1.Implement Agile Practices: Adopt PM2 Agile methodologies. Train teams on principles and practices, establish cross-functional teams that include business, development, and operations.
1.Promote DevOps Principles: Emphasize importance of automation, continuous integration (CI), continuous delivery (CD), proactive monitoring. Encourage shared responsibility for the entire lifecycle.
•Restructure Teams and Processes
1.Create Cross-Functional Teams: Form teams that are responsible for specific products or services, combining skills from development, operations, QA, and business analysis.
1.Adopt Product-Centric Approach: Shift from project-based to product-based IT, where teams are focused on continuously improving and adapting their products.
1.Decentralize Decision-Making: Empower teams to make decisions quickly and autonomously, with a focus on delivering customer value.
•Implement Tools & Practice
1.Set Up DevOps Toolchain: Invest in tools for version control, CI/CD, configuration management, containerization, and monitoring.
1.Automate Everything: Automate repetitive tasks, including code integration, testing, deployment, and infrastructure provisioning.
1.Implement Continuous Integration and Continuous Delivery (CI/CD): Integrate code into shared repository frequently, automatically test changes, & ensure code can be moved at any time.
1.Adopt Infrastructure as Code (IaC): Manage infrastructure using code & automation tools, in consistent and repeatable environments.
•Measure & Improve
1.Define Key Performance Indicators (KPIs): Establish metrics to measure the success of your Agile and DevOps practices, such as deployment frequency, change lead time, change failure rate, and mean time to recovery (MTTR).
1.Implement Feedback Loops: Use monitoring and logging tools to gather data on application and infrastructure performance. Analyze this data to identify areas for improvement.
1.Continuously Iterate: Use the insights gained from metrics and feedback to make iterative improvements to processes, tools, and products.
•Training & Development
1.Provide Training: Offer comprehensive training programs on Agile and DevOps practices, tools, and mindset changes required for all team members.
1.Encourage Continuous Learning: Promote an environment where continuous professional development is encouraged, and learning new skills is supported.
•Governance and Compliance
1.Update Governance Models: Adapt governance, risk, and compliance models to fit the Agile and DevOps ways of working, ensuring that they support rather than hinder agility.
1.Ensure Continuous Compliance: Integrate compliance and security checks into the CI/CD pipeline to ensure continuous compliance with regulatory and security standards.

I've built this framework that my firm leverages for AI and Predictive Analytics Initiatives as a structure for AI adoption/governance


1. Looking for feedback on is anything missing, is it useful.
2. Sharing with the group to leverage for their own needs.


1. AI Strategy
Set Business Goals 
Do Opportunity Assessment
Develop Strategy 
Develop Roadmap


2. AI Readiness
Audit Data
Evaluate Infrastructure
Assess Organization readiness
Select Use Cases


3. Solution Design
Design Solution Architecture
Select Models
Build Models
Integration Strategy


4. Adoption and Change
Transform processes
Train users
Build Change Strategy
Develop CD/CI


5. Governance
Ethics and Compliance Policy
Model Monitoring and Tuning Framework
Ensure scalability
Design Ongoing support

&gt; Move to cloud EHR
&gt; Desktop replacement project covering 80% of devices
&gt; Digitizing compliance workflows

Adoption of cloud technologies and upgrade Legacy applications. upgrading legacy application include adoption of new platform like Python, ML and automation of  business work flows using RPA technologies like UiPath, Automation anywhere. This also ensure data compliance as we move along with the journey of adoption of newer technologies.

Security

Cloud , Container, Kubernetes Security
DevOps Automation
Infrastructure as a Code
Deep observability and monitoring

Business Resilience of Infrastructure

My organization is pursuing a comprehensive digital transformation agenda the includes a people, process, technology approach for low code application platform (LCAP), robotic process automation (bots), data analytics, and software defined wide area networks (SD-WAN).

Out too initiatives are really completing the refresh we started two years ago. After starting at my organization we have worked to modernize all of our infrastructure and to finalize this initiative we are completing a refresh of all of our network equipment outside of core switches and WiFi. We’re also enhancing our ITSM platform with a new solution covering Work Orders, Change Management, Asset Management, and enhancing our management toolset. We are also focusing our efforts on testing our security infrastructure with a 3 year engagement focusing on validating and continuous improvement of our security.

Update our infrastructure asset inventory report so as to have better data on how to move forward with our  infrastructure modernization.  Expand our Cloud environment to better support access everywhere.


IT infrastructure - What are the top of mind initiatives in the roadmap for the next year?

Best DevOps Continuous Compliance Automation Tools Reviews 2024 | Gartner Peer Insights

Drata steamlines compliance and security management with its user-friendly platform, automating many of the tasks associated with maintaining certifications. It simplifies the audit process and offers comprehensive insights into compliance status. However the initial setup may require a learning curve.

We have been using Drata for about 30 days now. I am overall very satisfied with this product.

CloudBees

The CloudBees platform is a Cloud Native DevOps solution that streamlines the SDLC. The platform allows you to create CI/CD workflows that run natively on Kubernetes and include visual workflow orchestration tool for managing complex software delivery pipelines.

FedRamp Comprehensive

Hyperproof

Legit Security

Sprinto

DevOps Continuous Compliance Automation Tools Reviews and Ratings

What are DevOps Continuous Compliance Automation Tools?

Products In DevOps Continuous Compliance Automation Tools Market

Drata

Drata

CloudBees Platform

CloudBees Platform

Gartner Research

Popular Comparisons