vineethsai - Overview

Vineeth Sai Narajala 👋

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🚀 About Me

Security Engineer and AI researcher focused on GenAI and LLM security. Currently contributing to the OWASP GenAI Security Project as a Co-Lead. I work on agentic AI security, threat modeling, and developing best practices for GenAI applications.

📚 Recent Publications

  • Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability (May 2025) - IETF Draft - Ken Huang, Vineeth Sai Narajala, Idan Habler, Akram Sheriff
  • Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach (Apr 2025) - arXiv:2504.19951 - Vineeth Sai Narajala, Ken Huang, Idan Habler
  • Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents (Apr 2025) arXiv:2504:19956- Vineeth Sai Narajala, Om Narayan
  • Building A Secure Agentic AI Application Leveraging A2A Protocol (Apr 2025) - arXiv:2504.16902 - Idan Habler, Ken Huang, Vineeth Sai Narajala, Prashant Kulkarni
  • Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies (Apr 2025) - arXiv:2504.08623 - Vineeth Sai Narajala, Idan Habler

🛠️ Current Work

  • OWASP GenAI Security Project - Leading initiatives on agentic AI security
  • Security research and tooling for multi-agent systems
  • Developing frameworks for threat modeling GenAI applications

🔧 Technologies & Skills

Security AI Security Cloud Security Python GIAC

📊 GitHub Stats

GitHub Stats GitHub Streak Top Languages

🔍 Featured Repositories

Tool Registry Vulnerable MCP MCP-ETDI-docs ANS

📫 How to Reach Me

📜 Credentials

  • GIAC Cloud Penetration Tester (GCPN) - Valid until Aug 2027
  • Oracle Cloud Infrastructure Foundations 2020 Certified Associate

Profile views

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  1. A GenAI agent and tool registry system to securely vend scoped down JIT credentials

    Python 2

  2. A comprehensive database of Model Context Protocol vulnerabilities, security research, and exploits

    HTML 36 8

  3. Threat models, verification standards, and security controls for AI agent architectures. Built on OWASP AISVS and NIST AI RMF.

    TypeScript 20 11

  4. OWASP Foundation web repository

    JavaScript 63 31