AI has one unsolved problem
Until recently, governance felt like a solved problem—critical but entirely manageable. With the rise of AI, it is now the dominant enterprise anxiety. AI projects are stalling...
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Until recently, governance felt like a solved problem—critical but entirely manageable. With the rise of AI, it is now the dominant enterprise anxiety. AI projects are stalling...
AI governance is often treated as a policy problem: define approved uses, create an oversight framework, publish acceptable use rules, and document compliance. These steps matter,...
New assessment tool arrives as coverage denials hit firms without documented AI oversight frameworks
New assessment tool arrives as coverage denials hit firms without documented AI oversight frameworks
Independent agencies have no shortage of AI-powered solutions to choose from. Tools that can reduce manual work, improve speed, and support better decision-making are everywhere in...
Enterprises deployed AI agents ahead of the controls needed to manage them — and they did it knowingly. That is the central finding across the five parallel surveys VentureBeat Res...
Executive Summary Since the release of our May 2026 report detailing adversarial misuse of artificial intelligence (AI), Google Threat Intelligence Group (GTIG) has observed forwa...
At HITEC 2026 in San Antonio, the dominant theme shifted from AI deployment to AI governance, with Agent Management Platforms emerging as a critical new software category for hotel...
There was a time when evaluating an AI system meant running a test set, computing an accuracy score, and calling it done. That was good enough when models answered questions in iso...
Enterprise AI governance should be treated as an integrated project and operational control system rather than a final compliance checkpoint. Effective governance establishes owner...
Over the past 18 months, generative AI (GenAI) based solutions have progressed from pilots into mainstream investment and trading processes, including risk and compliance. With the...
Singapore companies are moving quickly from experimenting with artificial intelligence to letting it perform multi-step tasks with limited human intervention. But a new study by Su...
Agentic AI creates control, technology, and purchasing problems. Security leaders need to know which controls they must satisfy, which technologies can satisfy them, where existing...
The next A.I. governance challenge will be whether companies can account for what happens once multiple systems interact with customers, data and one another. The answer, McMillanA...
TL;DR: The AI Working Agreement Your team already has rules for using AI. Some live in templates, some in habits, exceptions, and one person’s memory. The AI Working Agreement puts...
Ira Vouk of AIHA and Cendyn's Luke Markesky discuss responsible AI adoption in hospitality, covering standards, data privacy, risk management, and industry accountability.
OpenAI has outlined how it aligns safety, security, and transparency work with the EU AI Act’s GPAI Code as enforcement approaches. The company has contributed to and endorsed the...
Across 107 enterprises, agentic orchestration is not a choice of a single platform.The typical enterprise runs three orchestration platforms at once, and selects them for flexibili...
Originally appeared on OmbuLabs.ai.You’re evaluating AI vendors for a company-wide rollout, and every conversation ends the same way: it’s safe, it’s anonymized, we have guardrails...
Dome Systems’ Dave McJannet unpacks why governance is emerging as the defining challenge of enterprise agentic A.I. Identity, access controls and auditability, McJannet argues, are...
<p>A playbook for turning good governance into a competitive edge.</p>
As adoption of AI agents accelerates, governance is struggling to keep pace.
Across Southeast Asia, organisations are moving rapidly from AI exploration into practical business applications. Banks are experimenting with AI assistants for customer service an...
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