This article discusses RegScale's Continuous Controls Monitoring platform, which automates governance, risk, and compliance processes. It highlights features like automated evidence collection, rapid certification, and AI-driven risk management to improve efficiency and reduce costs.

This whitepaper discusses how AI is changing the way platform engineering operates, focusing on the need for better governance and delivery models. It highlights the importance of automation and intelligence in managing infrastructure at scale, offering insights for teams involved in platform management.

This report reveals findings from 1,150 IT leaders about the current state of automation and AI in organizations. It highlights the gap between potential and actual use of agentic AI, emphasizing the need for better orchestration and governance to scale these technologies effectively.

This article discusses how traditional identity and access management (IAM) struggles to handle the demands of modern businesses. It highlights the role of automation and orchestration in streamlining IAM processes, improving speed and compliance while reducing risks. The guide includes customer examples, pre-built workflows, and a checklist for developing a scalable IAM strategy.

RBC developed a comprehensive Infrastructure as Code strategy to manage its hybrid cloud environment effectively. The approach emphasizes security, cost control, and streamlined developer workflows, enabling consistent deployments across public and private infrastructures. Future plans include leveraging AI for enhanced automation and operational efficiency.

Riff helps businesses streamline operations by integrating AI into workflows, focusing on real data from day one. IT ensures security and governance while domain experts build solutions that drive measurable outcomes. The platform offers scalable pricing and robust support for ongoing development.

Scale agentic AI from pilot to production with OutSystems' Agent Workbench, a low-code platform that enables enterprises to create, govern, and deploy custom AI agents efficiently. The platform integrates seamlessly with existing systems, ensuring security and compliance while automating workflows across various business functions. With built-in governance and a user-friendly interface, organizations can rapidly build intelligent solutions tailored to their unique needs.

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GitOps significantly reduces the need for elevated access by promoting declarative, version-controlled workflows that automate system state management. While high-performing teams recognize the security benefits of GitOps, they also understand that Git itself must be treated as a sensitive access point, necessitating robust governance and security measures. Organizations should aim for continuous improvement in their GitOps practices while ensuring exceptions to these practices are well-documented and controlled.

The Automated Governance Maturity Model has been introduced to help organizations navigate the complexities of governance in an era dominated by AI-generated code. This model provides a framework for assessing capabilities across policy, evaluation, enforcement, and audit, enabling organizations to automate governance processes effectively. Feedback is encouraged to refine the model and expand its practices and guidance.

Jenkins can be a maintenance burden due to chaotic governance, leading to sprawl and inconsistency. By implementing centralized governance and best practices, organizations can transform Jenkins into a reliable, enterprise-grade CI/CD solution that supports growth and reduces operational overhead. CloudBees offers a framework that enhances Jenkins governance, enabling efficiency and compliance.

Governance in platform engineering transforms from a manual bottleneck to an automated enabler, allowing organizations to scale confidently while maintaining consistency, compliance, and cost control. By embedding governance features like policy-as-code, RBAC, audit logs, and resource lifecycle controls into the platform, teams can enhance autonomy and speed without sacrificing security and oversight. Real-world examples demonstrate how these practices lead to efficient development and operational trust.

The on-demand webinar discusses strategies for managing SaaS sprawl, highlighting the challenges faced by IT and security teams due to the rapid growth of SaaS applications and AI tools. It emphasizes the importance of proactive SaaS governance to enhance visibility, optimize spending, and automate processes for onboarding and offboarding users.

PagerDuty advocates for an AI-first operations approach to address the unique challenges posed by AI integration in organizations. This involves leveraging AI for efficiency while ensuring human oversight and adapting operational strategies to maximize the benefits of AI capabilities. The framework includes principles such as assessing AI applicability, embedding governance, and fostering continuous learning to improve operational outcomes.

The rise of agentic AI is fundamentally altering software design, moving from traditional products to systems that allow for autonomous decision-making. This shift presents challenges in governance, user trust, and the integration of AI into existing workflows, necessitating new approaches to application development and user experience. As AI agents become collaborative partners, the focus must shift to designing systems that facilitate effective human-agent interaction.

The rise of generative AI is causing widespread layoffs in consulting firms, prompting employees to create shadow AI apps to maintain their relevance and productivity. These unauthorized tools are increasingly being adopted as traditional IT frameworks struggle to keep pace, leading to a need for strategic governance to manage associated risks.