Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI (GenAI) is transforming the cybersecurity landscape, requiring Chief Information Security Officers (CISOs) and their teams to adapt quickly to both opportunities and challenges, according to the Gartner report 4 Ways Generative AI Will Impact CISOs and Their Teams. As organizations integrate GenAI into business processes, it is critical to secure not only the technology’s development but also its consumption across the enterprise.

At Datadog, we build and operate a complex, self-managed infrastructure that spans multiple cloud providers and serves many customers in regulated environments. We need to secure this large, distributed infrastructure while maintaining strict uptime requirements and scaling our finite people resources. In this post, I’ll detail the playbook that we use on Datadog’s Cloud Security team for securing our infrastructure, including.

At Vanta, we’re always looking to experiment, learn, and stay at the forefront of AI. Recently, we built a proof of concept to explore how auditors could interact more effectively with audits and the data within them. Our experiment used Anthropic’s Claude, the open source MCP (Model Context Protocol), and Vanta’s API to enable users to ask deeper questions of Vanta’s compliance data. ‍ ‍

With Cloudflare Waiting Room, you can safeguard your site from traffic surges by placing visitors in a customizable, virtual queue. Previously, many site visitors waited in the queue alongside bots, only to find themselves competing for inventory once in the application. This competition is inherently unfair, as bots are much faster and more efficient than humans. As a result, humans inevitably lose out in these high-demand situations, unable to secure inventory before bots sweep it all up.