Pervaziv AI

Comprehensive Metrics for Informed Decision Making

Building AI and security products today is no longer just about model accuracy or security metrics. It’s about end-to-end performance, security posture, infrastructure efficiency, and economic viability. If you’re making product or research decisions, you need a holistic benchmark framework, one that spans: Below is a structured deep dive into the most important metrics across

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Cortex 2.6, DevSecOps 2.7, White Papers, 10M Views

It’s raining 🌧️ Product Releases, White Papers and Videos at Pervaziv AI! We are releasing Cortex 2.6 with largely expanded context handling capabilities and improved backend MCP connectors. DevSecOps 2.7 adds new features for Developer Certification with scoring models, hierarchical organizational dashboard with visually pleasing leaderboard charts and tables. We also wrote two new white

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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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