Tag: governance

In Part 1, we explored the foundational strategy, including data classification frameworks and tagging approaches. In this post, we examine the technical implementation approach and key architectural patterns for building a governance framework. We explore governance controls across four implementation areas, building from foundational monitoring to advanced automation. Each area builds on the previous one, […]

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with […]

In Part 1 of this series, we explored the fundamental risks and governance considerations. In this part, we examine practical strategies for adapting your enterprise risk management framework (ERMF) to harness generative AI’s power while maintaining robust controls. This part covers: Adapting your ERMF for the cloud Adapting your ERMF for generative AI Sustainable Risk […]

According to BCG research, 84% of executives view responsible AI as a top management responsibility, yet only 25% of them have programs that fully address it. Responsible AI can be achieved through effective governance, and with the rapid adoption of generative AI, this governance has become a business imperative, not just an IT concern. By […]

Security and governance teams across all environments face a common challenge: translating abstract security and governance requirements into a concrete, integrated control framework. AWS services provide capabilities that organizations can use to implement controls across multiple layers of their architecture—from infrastructure provisioning to runtime monitoring. Many organizations deploy multi-account environments with AWS Control Tower, or […]

Amazon Web Services (AWS) customers operating in a regulated industry, such as the financial services industry (FSI) or healthcare, are required to meet their regulatory and compliance obligations, such as the Payment Card Industry Data Security Standard (PCI DSS) or Health Insurance Portability and Accountability Act (HIPPA). AWS offers regulated customers tools, guidance and third-party audit reports […]

AWS Identity and Access Management (IAM) policies are at the core of access control on AWS. They enable the bundling of permissions, helping to provide effective and modular access control for AWS services. Service control policies (SCPs) complement IAM policies by helping organizations enforce permission guardrails at scale across their AWS accounts. The use of access control […]

Your approach to security governance, risk management, and compliance can be an enabler to digital transformation and business agility. As more organizations progress in their digital transformation journey—empowered by cloud computing—security organizations and processes cannot simply participate, they must lead in that transformation. Today, many customers establish a security foundation using technology-agnostic risk management frameworks—such […]

When you build applications on Amazon Web Services (AWS), it’s a common security practice to isolate production resources from non-production resources by logically grouping them into functional units or organizational units. There are many benefits to this approach, such as making it easier to implement the principal of least privilege, or reducing the scope of […]

If you have multiple Amazon Web Services (AWS) accounts, and you have AWS Identity and Access Management (IAM) roles among those multiple accounts that are supposed to be similar, those roles can deviate over time from your intended baseline due to manual actions performed directly out-of-band called drift. As part of regular compliance checks, you […]