In today’s rapidly evolving business landscape, organizations face an ever-increasing array of risks and compliance challenges. As businesses strive to adapt to the digital age, it has become imperative to enhance their Governance, Risk Management, and compliance (GRC) strategies. Fortunately, the fusion of artificial intelligence (AI) and GRC practices presents a transformative opportunity.

Last week, I had the opportunity to moderate a panel at the NACD Summit, where I was joined by: Deven Sharma, Former President at S&P; John Katko, Former Member of U.S. House of Representatives; and Aaron Hughes, CISO at Albertsons. The National Association of Corporate Directors (NACD) holds its summit annually to empower directors and transform boards to be future ready. Our panel discussion focused on how board members can strategically oversee their organizations’ cybersecurity resilience.

In the first part of this blog series, we explored the foundational steps required to kickstart a robust security program for any organization’s low-code/no-code development environment within Microsoft Power Platform. We discussed the importance of differentiating between sensitive and non-sensitive data, identifying the makers and builders, and implementing the principle of least privilege access.

In an era where data security and access management are crucial, organizations are constantly on the lookout for modern ways to enhance their governance strategies. What if you could not only manage user identities and access rights but also extend this governance to protect privileged access, applications, cloud infrastructure and data? What if there was a comprehensive identity governance framework that could integrate and manage all your systems seamlessly?

Welcome to the first installment of my three-part blog series on securing low-code/no-code development within the Microsoft Power Platform ecosystem. As Zenity’s Director of Customer Success I’ve seen firsthand how businesses are embracing the power of applications like Power Apps, Power Automate, and Dynamics 365, all fortified by the impressive capabilities of generative AI.

The world is becoming more reliant on data through data analytics and AI, where a lack of data quality can cost 74% more time spent on non-value added tasks by employees. This makes proper data governance more crucial than ever. As organizations become data-driven and interact with more data than ever, understanding the ins and outs of data governance is essential for ensuring data quality, security, and regulatory compliance.

Walter Haydock is the Founder and Chief Executive Officer of StackAware, a cybersecurity risk management and communication platform. He is also the author of the blog Deploying Securely. Previously, he was a Director of Product Management at Privacera, a data governance startup backed by Accel and Insight Partners – as well as PTC – where he helped to secure the company’s industrial IoT product lines.

Welcome to the era of data domination! Every day, 2.5 quintillion bytes of data flood the digital landscape, estimates Forbes, with a whopping 90% of data created in just the last two years. While this growth presents many opportunities for organizations, it also introduces many challenges. That’s where data governance comes in. It’s a critical practice for businesses trying to navigate data management and data security.

An effective approach to enhancing your cloud security posture entails creating an effective cloud governance framework. In today’s digital era, cloud computing has become a critical component of businesses worldwide. Organizations leverage the cloud’s scalability, flexibility, and cost-effectiveness to drive innovation and growth. However, these benefits come with myriad security challenges. Cyberthreats are evolving rapidly and data breaches are growing both in frequency and impact.

Enterprises these days are facing a triple threat: stiffer government policies, volatile cyberspace and an extra-competitive economy. And without a well-planned strategy, it will be hard to survive all these and hit high-performance goals. Hence the need for an effective GRC strategy. Since its invention in 2003, GRC as a strategy for achieving organizational goals amidst uncertainty and with integrity, has stayed true to its primary purpose. Despite the increasing turbulence in the economy.