Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Everyone's racing to use AI right now. But securing AI adoption while maintaining productivity—getting visibility into shadow AI, educating employees without blocking innovation, and building governance that actually works—is harder than it looks. We recently hosted a discussion between Anant Mahajan, Head of Product at Nightfall, and Yunique Demann, VP of Information Security at TPx, to dig into the practical realities of AI governance.

We’re excited to share new updates and enhancements for August, including: For more information on these updates and others, please read the complete list below and follow the links for more detailed articles.

Everyone’s trying to make AI agents do useful things. That’s why the Model Context Protocol (MCP) is gaining momentum with teams operationalizing LLMs across their infrastructure and tooling. Backed by teams like OpenAI and Google, MCP gives a consistent, standardized way to connect LLMs with the rest of your stack. In other words, the MCP Protocol makes connecting AI tools with real business data and workflows easier using structured access instead of janky UI hacks and glued-on custom code.