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By Umair Sheikh, founder of Gateplex Autonomous AI agents are shipping fast. LangChain, CrewAI, AutoGen — the frameworks are mature, the tutorials are everywhere, and developer...
If your institution has deployed a generative AI system in production, you have a guardrail layer. T...
AI agents are increasingly proficient at executing business tasks autonomously, but IT leaders are cautious about granting permissions to access enterprise systems. Part of the cha...
A word of caution to digital advertising companies, as they go all in on AI algorithms: They need to build these solutions with ownership, governance and accountability from the st...
As enterprises scale autonomous AI agents into production, enabling safe innovation requires robust architectural guardrails. AI agents connect across tools and datasets, so it’s e...
The biggest AI risk in digital advertising is probably not the one most people are talking about. It’s not creative generation. It’s not job replacement. It’s not whether AI can op...
Software engineers are great at talking about how to make things dependable: we have names for things like circuit breakers, bulkheads, making sure something can be done multiple t...
If AI agents are becoming organizational actors, then governance needs to move beyond principles and into operational structure. In Camille Stewart Gloster’s upcoming book The Ins...
Practical guide for creating guardrails for Claude CodeContinue reading on UX Planet »
AI agent governance after the tool call is audit paperwork, not control. Even small actions have side effects: sending an email, updating a customer's details, approving a refund,...
As global AI spending tops $2.5 trillion this year, many companies still aren’t seeing meaningful returns. With rising pressure to justify investments, they’re betting on AI agents...
For starters, don't just hand over the keys to AI agents. Any endeavor needs to remain a human-instigated, human-led endeavor.
Current enterprise AI governance relies on "software hope," or the belief that probabilistic models can accurately police their own authority through mutable instructions. We've sp...
The most dangerous moment in AI governance is not when a model fails in an obvious way. It is when the organisation continues to believe the controls are working while the model ha...
For AI security and platform teams, the UK's Cyber Shield plan is a useful governance marker: national cyber agencies are beginning to describe agentic AI as defensive infrastructu...
Software designed to remove safety protections creates systems that provide responses on biological weapons and malware
Most "AI agents" shipping right now are demos wearing production paint. They answer questions fluently and break the moment they touch a workflow with money, state, or consequences...
How to set the rules that keep agents effective and out of trouble The post What AI Agents Should Never Do on Their Own appeared first on Towards Data Science.
We’ve reached the upper bound of AI. Not in the sense that performance won’t improve. On the contrary, AI will improve AI. But Anthropic’s Fable release has imposed a glass ceiling...
It's 2 am. PagerDuty fires. You're half-awake, moving fast, and you restart the wrong service. It happens. You're human. Now imagine the same scenario, except the thing moving fast...
The elusive dream of AI accountability in the face of disaster. You know, of course, that ChatGPT is trained to avoid showing harmful material. It’s ‘built with safety in mind.’...
SPONSORED FEATURE: 696 experts find co-pilot welcome, autopilot not so much
The rapid evolution of artificial intelligence has ushered in the era of agentic AI systems.Continue reading on Medium »
Good report: Executive Summary: Let’s say you wanted to make sure that your AI is secure. Can you just maximize the security and privacy benchmark and call it a day? Nope, because...
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