Research Hub
Home of Deep and Light Research at Pervaziv AI
LLM and Compiler Cooperation for Code Optimization
Modern compilers are remarkably effective at transforming source code into efficient machine code. Over decades, compiler optimization has evolved through carefully designed passes that simplify…
Mutation Testing: Measuring Whether Tests Actually Catch Bugs
Software testing is one of the most important safeguards in modern software development. Unit tests, integration tests, and regression suites help teams detect defects before…
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…
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…
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…
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…
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…
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…
CWE Landscape, Patterns, Correlations
Introduction Security vulnerabilities are rarely isolated incidents. In real-world systems, weaknesses tend to cluster, cascade, and compound, often stemming from the same underlying design or…
Vulnerabilities and Programming Languages
Every line of software, from the first punch‑card programs to today’s AI‑generated code — carries with it the imprint of the language that created it….
Understanding MITRE Att&ck Framework
The MITRE ATT&CK framework describes how real adversaries operate, not theoretical vulnerabilities. For application security teams, ATT&CK provides a powerful lens to move beyond static…
RAG for Coding and Security
Retrieval-Augmented Generation (RAG) is increasingly becoming a practical pattern for building smarter, safer, and more reliable developer tools. By combining large language models (LLMs) with…
Comparing Penetration Testing Tools
Penetration Testing Tools for Applications Penetration testing tools in application security are used to simulate real-world attacks and validate whether weaknesses in an application can…
Confidential Computing and Application Security
What Is Confidential Computing? Confidential Computing is a security approach that protects data while it is actively being processed, not just when it is stored…