Cortex Coding & Productivity Tools
DevSecOps Security Suite
Security Risk Return on Investment
Beginning the Year with 26 posts for 2026
Reimagine Enterprise AI with Cortex 2.5
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…
Latest Product and Research Breakthroughs
🤖 Cortex 2.1, Federated Learning, Risk Assessment Scores, MongoDB Sharding research blogs – just another week at Pervaziv AI. Our team is hard at work…
Major Expansion of Cortex 2.0 to 3 IDEs
Going Viral, 5 Million Views in 5 Months
5 Million YouTube views, 100 Thousand Watch Time hours in just 5 Months 🚀! What will the next 5 months look like? 👀 💡 For…
Developer Certification with DevSecOps 2.5
Launching new Research Hub
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…
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…
Enhancing Customer Privacy with Federated Learning
In the rapidly evolving landscape of enterprise AI, data privacy remains the single biggest barrier to entry. Organizations in finance, healthcare, and software development want…
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…
Prioritizing Risk Assessment with Security Scores
Exploit Prediction Scoring System (EPSS) and Common Vulnerability Scoring System (CVSS) are two widely used scoring systems in cybersecurity, each answering a different question about…
MongoDB Sharding Architecture, Design, Quick Guide
When a database needs to handle more data, more queries, or higher throughput, there are two fundamentally different approaches to scaling: Vertical Scaling and Horizontal…
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Chief Security Officer
Enterprise AI Platform Company
We value the shift-left approach of vulnerability detection offered by Pervaziv AI and we are trying the trial version of the product. The ML based detection and remediation can be used internally by our developers and the CISO organization.
Senior Director, IT
Medical Devices Company with > $130B Market Cap
We integrated legacy code scanners with existing cloud DevOps processes which identify vulnerabilities but lack automated fixes. We see time and cost savings with Pervaziv AI’s generated code and improved automation.
Senior Director, Software Engineering
Medical Research Company with > $200B Market Cap
We are facing several issues with traditional tools: infrequent database updates, missed vulnerabilities, false positives, and slow scanning. Pervaziv AI’s early detection and scanning along with detailed reports will help immensely with our product quality.
SVP, Engineering and Operations
AI/ML System on Chip Hardware Company
We are developing the first ML System on Chip platform that can scale and deploy ML at the embedded edge. We are exploring the possibility of using Pervaziv AI’s security software within our internal IT organization for our software workflows.
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Sunnyvale, CA, USA
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