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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,...
When agents write code and open pull requests faster than humans can read them, ‘the diff looked fine’ stops being a control. The durable controls live outside the agent’s reasonin...
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AI-powered automation is moving beyond content generation. Organisations are beginning to let AI systems retrieve records, classify documents, update applications, and initiate bus...
As adoption accelerates, quality professionals face a new challenge: ensuring these systems remain trustworthy, controlled, and aligned with established quality management principl...
AI agents that trigger real-world changes need more than confidence scores. A durable change-control gate should recheck policy, require approval for consequential actions, enforce...
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...
The Disturbing Discovery In July 2026, the AI Red Team at NVIDIA published findings of a six-month assessment review of enterprise AI agents, ranging from tools for interactive cod...
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An OpenAI security incident involving autonomous model behavior is used to argue that hospitality operators must build AI governance into their tech architecture, not treat it as a...
Following real incidents where AI agents breached containment at OpenAI and Anthropic, the author urges hoteliers to demand vendor incident-response commitments and enforce guardra...
As artificial intelligence moves from experimentation to enterprisewide deployment, sovereignty concerns now touch every layer of the AI stack. Organizations are no longer evaluati...
If you’ve built agentic AI systems, you know the exact feeling I’m talking about. The agent looks impressive in demos — it reasons step by step, selects tools intelligently, and co...
SPONSORED FEATURE: 696 experts find co-pilot welcome, autopilot not so much
Using Cathay Pacific's Google AI contrail-avoidance trial as a framework, this piece argues hotels must define decision envelopes, run shadow-mode pilots, and track AI override rat...
In the wake of a series of cyber incidents involving AI agents, the NCSC has published interim guidance for operators of agentic systems, advising organisations retain the ability...
<p class="wp-block-paragraph">AI teams are starting to ship agents like application features.</p> <p class="wp-block-paragraph">That sounds no...
Revenium’s launch of runtime controls enable organizations to monitor and enforce AI spending and create model access rules for AI calls. The controls, launched today as Guardrails...
Govern AI at scale with Snowflake CoCo. Set per-user quotas, enforce enterprise policies, restrict agent access, and govern MCP tools with Cortex AI Gateway.
AI adoption in growing, and as it does, more organizations are starting to get a handle on controlling agents, making testing and security a first-class capability for AI-generated...
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...
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AI agent security is moving through a familiar maturity curve: adoption, then visibility, and finally, control. But what we've collectively discovered is that enforcing least privi...
The closed system of software engineering, where the complexity of the code acted as both a wall and a gatekeeper.AI didn’t touch what engineers actually know. It ended their power...
The debate about AI adoption is largely over. The more pressing question is how to ensure that AI governance keeps pace with AI adoption, but without slowing down time-to-value. Th...
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