Across boardrooms and back offices, the promise of AI is animating strategy sessions and shaping budgets. Everyone wants in on the productivity gains, the streamlined operations, the predictive insights. But behind the excitement lies a quietly growing tension: how do you govern a technology that can improvise, evolve, and sometimes go off-script?
If you’ve been feeling like everyone’s talking about AI but few are truly doing something transformative with it, you're not alone. But a new study from AuditBoard and Panterra Research shows that the most advanced organizations aren’t just dabbling in AI for governance, risk, and compliance (GRC). They’re scaling the mountain, and leaving others at base camp.
As the world becomes more interconnected and regulatory frameworks grow in complexity, organizations are under increasing pressure to manage risks effectively while remaining compliant. The role of artificial intelligence (AI) in Governance, Risk, and Compliance (GRC) is evolving rapidly, offering promising solutions to enhance decision-making, automate repetitive tasks, and ensure compliance across various business functions. While the integration of AI into GRC tools provides unprecedented efficiency, it also introduces challenges that organizations must carefully navigate.
AI is everywhere, and its presence is only growing, shaping how we interact online. For Ofcom, the UK’s communications regulator, this presents both an exciting opportunity and a challenge in how to support the incredible potential of AI while keeping the public safe from its risks.
The European Data Protection Board (EDPB) has recently finalized its much-anticipated guidelines on data transfers to third-country authorities. But the EDPB didn’t stop there. During its latest plenary, the Board also introduced two exciting initiatives aimed at enhancing skills in the rapidly evolving fields of AI and data protection, offering professionals a much-needed roadmap for navigating these complex, high-stakes areas. Let’s dive into the latest updates from the EDPB, which are not just about compliance, but also about empowering the next generation of data protection professionals.
In the U.S., the regulatory landscape is trying to catch up, but in true American style, it’s a bit of a mess. It’s fragmented, complex, and, at times, contradictory. The goal of the legislation is to manage the risks, promote innovation, and make sure AI is used responsibly. But how we get there, and who’s in charge of making the rules, is anything but straightforward. As AI moves from being an abstract concept to a core part of business operations, understanding this evolving legal maze is crucial for companies.
Salesforce has entered into a definitive agreement to acquire Informatica, a cloud-based data management company, for approximately $8 billion in equity value. This transaction, which is expected to close by early fiscal year 2027, will see Salesforce pay $25 per share in cash to Informatica’s Class A and Class B-1 common stockholders.