AI Governance

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AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Artificial Intelligence is evolving at a speed few technologies in history have matched. What began as simple automation has now transformed into systems capable of conversation, emotional expression, and autonomous decision-making. AI chatbots are no longer limited to answering questions — they are advising users, offering emotional support, and influencing real-world choices. But as AI […]

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Agentic AI Is Now Helping Hackers — What It Really Means and How We Can Protect Ourselves

agentic ai, ai, AI (Artificial Intelligence), AI Cybersecurity, AI ethics and governance, AI Governance, AI safety, AI Security Risks, AI-Powered Cyber Attacks, Artificial Intelligence, Autonomous AI, Cyber Threat Intelligence, digital risk and compliance, Ethical AI, Spritle Blog, SpritleSoftware, Zero Trust Security

Every once in a while, the cybersecurity landscape hits a turning point — a moment that forces everyone in tech to pause and accept one hard truth: The rules have changed. Anthropic’s recent report marked one of those moments. For the first time, a mostly autonomous cyberattack powered by agentic AI was observed in the

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Vertical-First Agents: Why Industry-Specific AI Beats Generic Models

ai, AI (Artificial Intelligence), AI + Compliance, AI Accountability, AI Chatbots, AI Ethics, AI Governance, AI policy, AI regulation, AI safety, AI safety & ethics, Artificial Intelligence, Chatbot Safety, digital regulation, digital transformation, Enterprise AI, Enterprise Technology, Generative AI Risks, Responsible AI, Spritle Blog, SpritleSoftware

Over the past year, artificial intelligence has evolved rapidly—from simple question-answering systems to AI agents capable of executing real business actions. But as enterprises begin deploying AI across operations, one truth is becoming increasingly clear: Generic AI may impress. Vertical-first AI delivers results. Across healthcare, banking, finance, retail, logistics, manufacturing, and other regulated industries, organizations

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Human prosperity in the age of AI

2026 predictions, ai, AI (Artificial Intelligence), AI Agents, AI Governance, Artificial Intelligence, Curiosity, predictions

Throughout history, the ambition of technological advancement has always been driven by the pursuit of human prosperity. But with AI, we are approaching a pivotal gut check to live up to this promise for the next generation. In my role as CTO at SAS, I talk with a lot of […] The post Human prosperity

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AI risk is not a black swan – it’s a flock of grey swans

ai, AI (Artificial Intelligence), AI Ethics, AI Governance, Artificial Intelligence, Equity and Responsibility, EU AI Act, Responsible AI, trust, Trustworthy AI

We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective […] The post AI risk

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Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager

agentic ai, ai, AI (Artificial Intelligence), AI Governance, APIs, Artificial Intelligence, Enterprise AI, LLM Integration, mcp, model context protocol, operational ai, RAG, Retrieval-augmented generation, SAS Retrieval Agent Manager, Scalable AI, Tool Calling, Trustworthy AI, Uncategorized, workflow automation

Learn how integrating the Model Context Protocol (MCP) into SAS Retrieval Agent Manager transforms retrieval-augmented generation from a passive information system into a governed, scalable, and action-oriented enterprise AI platform capable of executing real business workflows. The post Unlocking agentic AI potential with MCP tools in SAS Retrieval Agent Manager appeared first on SAS Blogs.

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AI Governance in practice: How synthetic data prepares you for what’s next

ai, AI (Artificial Intelligence), AI Governance, Artificial Intelligence, data privacy, data security, model robustness, PII protection, regulatory compliance, representative data, SAS Data Maker, Synthetic Data, Trustworthy AI, Uncategorized

This blog with co-written with Sundaresh Sankaran. The Artificial Intelligence (AI) era is here. To prevent harm, ensure proper governance and secure data, we need to trust our AI output. We must demonstrate that it operates in a fair and responsible manner with a high level of efficiency. As builders of […] The post AI Governance

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Responsible innovator spotlight: Sierra Shell on designing responsibly

AI Governance, Artificial Intelligence, Curiosity, data ethics, data governance, responsible innovation, Trustworthy AI

Responsible innovation is more than a framework. It’s the discipline of building technology that earns trust. As AI becomes more capable and deeply embedded in business workflows, organizations must ensure that every decision, design choice, and workflow supports accountability, transparency and human-centered outcomes. The Responsible Innovator Spotlight is a new […] The post Responsible innovator

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AI 거버넌스, 더 늦추면 안 되는 이유

AI Governance, AI 기본법, Artificial Intelligence, risk management, SAS, Uncategorized, 모델 리스크 관리

AI는 금융을 비롯한 다양한 산업에서 혁신을 가속화하고 있습니다. 하지만 그 이면에는 데이터 편향, 환각(Hallucination), 개인정보 유출 등 새로운 리스크가 빠르게 증가하고 있죠. SAS는 지난 9월 17일 ‘금융기관을 위한 AI 거버넌스 및 미래 혁신 전략 세미나’를 개최하고 AI 기본법 시행을 앞둔 현 시점에서 금융기관이 어떤 준비를 갖춰야할 지에 대한 핵심 내용을 […] The post AI 거버넌스,

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