Category: Governance, Regulation & Policy

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    AI and MLArtificial IntelligenceGovernance, Regulation & PolicyManufacturing & Engineering AIMultimodal AIPhysical AI

    Physical AI raises governance questions for autonomous systems

    Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […]

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    A guide to APIs, MCPs, and MCP Gateways

    APIs and MCPs are often mentioned in the same breath as ways that systems can exchange information, but they are designed differently and have different purposes. This article hopes to explain the differences and how software developers and users should approach interaction with each. An API is mainly found in software applications, while an MCP […]

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    AIAI and MLai regulationCybersecurity AIFinance AIGovernance, Regulation & Policy

    AI agent governance takes focus as regulators flag control gaps

    Australia’s financial regulator has warned financial firms that AI agent governance and assurance practices are poorly governed. The warning comes as banks and superannuation trustees expand AI in internal and customer-facing operations. The Australian Prudential Regulation Authority said it conducted a targeted review of selected large regulated entities in late 2025 to assess AI adoption […]

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    AI and MLAI Business StrategyAI in ActionArtificial IntelligenceFeaturesGovernance, Regulation & Policy

    Kakao Mobility details Level 4 autonomous driving roadmap for physical AI

    Kakao Mobility has set out plans to develop Level 4 autonomous driving technologies in-house as part of its physical AI strategy. Kim Jin-kyu, vice president and head of Kakao Mobility’s Physical AI division, presented the roadmap at the 2026 World IT Show conference at COEX in Seoul. His session focused on autonomous driving services built […]

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    AIAI and MLCybersecurity AIFounders & VisionariesGovernance, Regulation & PolicyGovernment & Public Sector AI

    Anthropic walks into the White House and Mythos is the reason Washington let it in

    When we covered Project Glasswing earlier this month, the story was about a model too dangerous to release publicly and what Anthropic decided to do with it instead. That story has moved. On Friday, Anthropic CEO Dario Amodei walked into the West Wing for a meeting with White House Chief of Staff Susie Wiles. Treasury […]

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    AI and MLAI Business StrategyAI in ActionFeaturesFinance AIGovernance, Regulation & Policy

    Companies expand AI adoption while keeping control

    Many companies are taking a slower, more controlled approach to autonomous systems as AI adoption grows. Rather than deploying systems that act on their own, they are focusing on tools that assist human decision-making while keeping tight control over outputs. This approach is especially clear in sectors where errors carry real financial or legal risk. […]

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    AIAI agentsAI and MLAI Business StrategyAppleGovernance, Regulation & Policy

    Why companies like Apple are building AI agents with limits

    Next-generation AI assistants being developed in the Apple ecosystem and by chipmakers like Qualcomm, but early reports suggest they are being designed with limits in place. Tom’s Guide has described early versions of these assistants as capable of navigating apps, carrying out bookings, and managing tasks in services. For instance a private beta agentic system […]

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    Agentic AI’s governance challenges under the EU AI Act in 2026

    AI agents hold the promise of automatically moving data between systems and triggering decisions, but in some cases, they can act without a clear record of what, when, and why they undertook their tasks. That has the potential to create a governance problem, for which IT leaders are ultimately responsible. If an organisation can’t trace […]

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    AI and MLAI Business StrategyFeatured NewsFeaturesGovernance, Regulation & PolicyHow It Works

    Microsoft open-source toolkit secures AI agents at runtime

    A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now executing code and hitting corporate networks way faster than traditional policy controls can keep up. AI integration used to mean conversational interfaces and advisory copilots. Those […]

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    AI and MLAI Business StrategyAI in ActionFeaturesGovernance, Regulation & PolicyTechEx Events

    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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