Pervaziv AI

Software Component Analysis with AI

Last year, we introduced Software Component Analysis (SCA) as a core capability in our Application Security platform. The goal was simple but critical: extend vulnerability detection beyond first-party code and into the vast ecosystem of third-party and open-source dependencies that modern software is built on. In today’s cloud-native and AI-driven development environments, applications are rarely

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Multi-Cloud Security in the Age of AI

As organizations race to adopt AI, modern cloud environments are becoming more complex, distributed, and dynamic than ever before. AI workloads demand elastic infrastructure, access to massive datasets, accelerated compute, and deep integration across cloud services. At the same time, this expansion dramatically increases the attack surface. Security teams are no longer protecting a single

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Runtime Application Security with AI

AI-driven applications are reshaping how software is built, deployed, and operated. Models are trained continuously, inference services scale elastically, and data flows across clouds and clusters at unprecedented speed. In this environment, traditional security controls focused on static configurations and perimeter defenses are no longer sufficient. Modern security must assume that applications are always running,

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Agentic Memory, Personalization, Retention in Cortex

✨ Make it Yours! ✨ We’re adding personalization, memory features, additional privacy and retention to Cortex 2.2. From initial release to memory, Cortex received Personalization feature within 162 days 🚀 fastest of all Coding Agents.  On the research front, we thought deeply about improving personalization using LLMs. We came up with a new initiative to

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