As AI capabilities continue to evolve, AI is becoming central to managing the growing complexity of distributed, hybrid enterprise environments, enabling more effective analysis, correlation, and automation across interconnected systems. Traditional infrastructure and specifically network monitoring approaches, often built around siloed tools and static thresholds, struggle to keep pace with the scale, velocity, and interdependencies of modern systems. Further blurring the boundaries between network, application, and infrastructure domains makes it harder to isolate root causes and maintain operational resilience. In this context, AIOps platforms have emerged as one response to the growing need for integrated observability, automation, and data-driven decision-making. At AI Field Day, Selector AI presented an AIOps platform, which can be considered a foundation for co-creating more adaptive and data-driven network operations. Rather than positioning it purely as a product choice,...
A dangerous vulnerability found in Anthropic’s popular Claude Code developer model could have allowed bad actors to grab control of a victim’s system by luring them into clicking on a crafted malicious deeplink. Once in, the attacker could exploit the remote code execution (RCE) security flaw to execute arbitrary commands – such as shell commands – into the target’s Claude Code model. The vulnerability in version 2.1.118 of the model has since been fixed, but it’s another example of the security issues in these developer-focused tools that arise as adoption accelerates. A survey of more than 1,000 developers around the world by CodeSignal, which offers an AI-native skills platform to assess and develop technical talent, found that 81% of respondents said they’re using AI for development, with companies increasingly mandating the use of coding assistants. The RCE vulnerability in Claude Code was uncovered by security researcher Joernchen of 0day.click as he manually worked through...