Latest Agentic AI, AI Agents & Agent Governance News – 02 November 2026
🤖 Top Agentic AI, AI Agents & Governance Articles
Your twice-weekly roundup of the latest in Agentic AI, AI agents, and agent access, permission, governance & audit — covering agent frameworks, MCP/tool-use, agent identity, non-human access control, AI governance and agent security.
How we detect frontier model misalignment
Source : OpenAI NewsOpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
OpenAI and ServiceNow expand partnership across enterprise workflows
Source : OpenAI NewsOpenAI and ServiceNow expand their partnership to bring OpenAI models and agents into ServiceNow and ServiceNow workflows into ChatGPT and Codex.
Legora is building the agentic operating system for legal work
Source : OpenAI NewsSee how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.
Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
Source : Hugging FaceWe urgently need to monitor AI agents’ actions in real time
Source : MIT Technology Review AIThis summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. Around the same time, another OpenAI agent accessed private files from an Australian government website. It’s a problem…
The focus on AI safety disasters ignores everyday harms
Source : MIT Technology Review AIConsider what passes for success in technology policy. An AI company promises that its chatbot will not encourage suicide. A social media platform makes it more difficult for children to buy fentanyl. These are important protections, and they should have existed all along. But companies can clear these low bars while continuing to make products…
The Foundations of Scalable AI
Source : MIT Technology Review AIA scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and how a responsible, trustworthy implementation can turn emerging capabilities, including agentic…
