Leading AI companies are hiring philosophers to craft constitutional rules that guide AI behaviour. These experts debate between deontological and other ethical frameworks to ensure consistent, principled actions from systems deployed in homes and public spaces.

Amazon quietly removed requirements for human oversight from its internal AI policy templates, shifting responsibility to automated detection and enforcement tools. Critics warn that relying solely on automation could miss nuanced bias and safety issues, undermining effective model governance.

This TLDR covers Accenture’s $4.2 billion cybersecurity deal to buy Dragos, runZero, and NetRise for OT security, plus the hidden risks of free VPNs and streaming apps turning into residential proxies. It also looks at Cisco’s phased move to cloud SSE, Amazon’s push against human-in-the-loop AI governance, OpenAI’s new spend controls, the launch of enterprise-managed OAuth for MCP, Microsoft’s messy AI rollout, and an internal Copilot-powered analytics agent.

An IBM study of 2,000 CIOs and CTOs shows two-thirds are responsible for AI systems they can’t fully oversee, with 77% saying AI adoption is outpacing their governance frameworks. Organizations that build controls into their AI deployments report fewer incidents, higher margins and can scale agent use far more effectively than those relying on manual oversight.