Launching AI Code Review on GitHub
We are thrilled to announce that our Pervaziv AI Code Review is officially live on the GitHub Marketplace! 🚀 We can perform security and AI analysis of your code, all within GitHub.
We are thrilled to announce that our Pervaziv AI Code Review is officially live on the GitHub Marketplace! 🚀 We can perform security and AI analysis of your code, all within GitHub.
At Pervaziv AI, we are launching our Corporate Campaign for Spring 2026! 🎉 Get ready to revolutionize your enterprise AI, cybersecurity, and developer workflows. True to our name, we are making AI and Cybersecurity All-Pervasive. With our business and engineering prowess, we are providing a cohesive approach for your organizational workflows.
🔐 Software security risk is a material and growing financial exposure for organizations of all sizes as reliance on complex software continues to increase. Modern applications contain extensive custom code and third-party components, driving higher defect rates and a steady presence of known vulnerabilities.
26 posts in January 2026, we’ve begun the new year with a Big Bang at Pervaziv AI 🚀. We’ve made 7 product releases across Cortex 🤖 and DevSecOps 🛡️ in January. We launched our Research Hub which has 6 Deep Research posts and 6 Light Research posts with all the insightful explorations we have done
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
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
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,
Welcome to the future of Enterprise AI! At Pervaziv AI, we’re excited to introduce Cortex 2.5, reimagining how you approach your everyday tasks in an AI native workplace.
✨ 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
Agentic Memory, Personalization, Retention in Cortex Read More »
🤖 Cortex 2.1, Federated Learning, Risk Assessment Scores, MongoDB Sharding research blogs – just another week at Pervaziv AI. Our team is hard at work on both product and research avenues. 🤖 Cortex 2.1: Users can now choose to store Cortex chat history either locally or on our secure remote server. If chosen to store