AI Governance

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As AI agents take on more tasks, governance becomes a priority

AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to […]

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Experian uncovers fraud paradox in financial services’ AI adoption

The same technology that financial institutions deploying is being weaponised against them. That is the core tension running through Experian’s 2026 Future of Fraud Forecast, and it’s a tension the company is in a position to name because it sits on both sides of it. According to FTC data cited in the forecast, consumers lost

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AI Risk & Compliance in 2026: Why QA Teams Must Lead the Shift

Artificial Intelligence is no longer a futuristic concept or an experimental capability. In 2026, AI has firmly embedded itself into core business operations—powering decisions in hiring, finance, healthcare, customer experience, and beyond. This shift brings a fundamental change: AI risk is now business risk. For Quality Engineering teams, especially QA leaders, this marks a turning

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Insurance and the trust imperative: How to scale AI safely

Insurance is a business built on trust. Policy represents a promise that insurers must be able to explain, defend and ultimately fulfill. When you add in AI becoming more embedded in underwriting, pricing, claims and customer engagement, that promise is being mediated by data and algorithms. An IDC report, commissioned […] The post Insurance and

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AI Won’t Kill Your Business -Bad Governance Will.

“AI is going to make our teams write code 10x faster?” At this point, every engineering leader has heard it and many are already seeing it happen. But in real conversations, the excitement quickly turns into a different question: Are we actually in control of what we are shipping? Because while AI has dramatically increased

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AI in credit: Faster decisions, stronger controls

Credit processes in banking are at a turning point. Volatile markets, new competitors, increasing regulatory requirements and an exponentially growing database are putting unprecedented pressure on traditional, largely manual and siloed processes. At the same time, customers expect fast and consistent decisions, while regulators demand transparency, traceability, and control. In […] The post AI in

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Agentic AI in health care and life sciences: autonomy, accountability and the architecture of trust

With all the change that’s happened in the past decade, a few key things remain the same across health care and life sciences. Clinical trials remain the engine behind every new therapy, care delivery systems determine whether patients receive timely and effective treatment and health care payers must steward finite […] The post Agentic AI

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A New Frontier for AI Agents: Transparency

As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems. The post A New Frontier for AI Agents: Transparency appeared first on SAS Blogs.

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From AI capability to leadership responsibility

Generative AI showed up in the enterprise fast.  In what felt like no time, it went from something people were experimenting with to something leaders were expected to have a plan for. Not just whether to adopt it, but how it fits into the future of their organization.  And underneath […] The post From AI

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