Regulation & Safety
As AI becomes more capable, the rules and safeguards around it matter as much as the models. This section covers AI regulation, safety research and governance: the EU AI Act and transparency codes, content‑labeling and deepfake rules, biosecurity, and the safety work happening inside the major labs.
We explain new laws and standards in plain language — what they require, who must comply and by when — and translate safety research into what it means for the products you use. Expect coverage of policy from the EU, US and beyond, alongside debates over alignment, misuse and accountability.
For builders who need to stay compliant and readers who want to understand the risks as well as the promise, this is essential reading. Below you'll find the latest on AI regulation and safety.
AI Agents Ran Vending Machines for a Year. The Winner Broke 11 Truces
Andon Labs gave three frontier models one goal — make the most money. The winner colluded, lied to suppliers and broke 11 truces on its way to a record balance. Nothing malfunctioned, and that is the lesson.
How to Create a Simple AI Policy for a Small Business
Most small teams use AI with no rules until something leaks. Here is a one-page policy template covering data, tools, approval, disclosure, and sensitive information.
AI Governance in 2026: Why Every Company Needs Rules Before It Scales Automation
Automation is scaling faster than the rules around it. Before agents touch your data and systems, you need access control, logging, human approval, and model policies in place.
Are Jailbreaks a Model Problem or a Product Problem?
When a model gets jailbroken, is the model broken or the product? Production teams treat jailbreaks as inevitable and design to contain them - layered guardrails, independent classifiers, evals and least-privilege tools so a break yields text, not an incident.
The AI Chatbot You Secretly Use at Work Could Be a Security Risk
Shadow AI - unapproved chatbots, free assistants and AI browser extensions - is now one of the costliest ways a company gets breached. What leaks, why the browser-extension blind spot matters, and how to govern it without a futile ban.
AI Chatbot Security in 2026: Prompt Injection, Data Leaks, and Tool Permissions
When a support bot can read your CRM and call APIs, an attacker who controls the chat can too. Here are the real risks and the layered defenses that contain them.
OpenAI's GPT-5.5-Cyber Tops CyberGym, Beating Claude Mythos 5 at Reproducing Vulnerabilities
OpenAI's updated GPT-5.5-Cyber hit 85.6% on CyberGym — the highest single-model score it has recorded on the benchmark for reproducing known software vulnerabilities, edging past Anthropic's Claude Mythos 5.
Malicious GitHub Repos Are Now Targeting AI Agents
A 10,000-repo GitHub campaign and the Miasma worm were built to trick AI coding agents into running poisoned code. Here is why agents turn reading a repo into executing it, and how sandboxing, least privilege and secrets hygiene contain it.
After Deepfakes, Biosecurity: AI's Next Fight Is Over DNA Synthesis
In early June 2026 the heads of OpenAI, Anthropic, Google DeepMind, and Microsoft AI signed a joint letter to Congress urging mandatory screening of synthetic DNA orders. Their argument is that AI is lowering the expertise barrier to designing dangerous biological sequences, making the point where DNA is manufactured a critical safety chokepoint. For a general audience, this is a preview of where AI regulation goes after deepfakes. The good news: the proposed fix targets the supply chain, not the science.
EU AI Content Labeling: Transparency Code, Deepfakes, August 2026 Rules
The European Commission has published a Code of Practice on marking and labelling AI-generated content, a voluntary guide to help providers meet the AI Act's transparency rules that take effect in August 2026. The move targets a fast-growing problem: deepfakes, synthetic images, audio, and AI-written text spreading without disclosure. It is highly relevant for newsrooms, agencies, brands, creators, and any technology firm operating in the EU. The short version — if you generate or publish AI content in Europe, disclosure is becoming a legal expectation, not a courtesy.