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saivarmadpr/README.md
Sai Varma Dantuluri β€” AI Red Team Engineer
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πŸ‘‹ About

Security engineer and AI security researcher. I design and build enterprise-grade security systems β€” LLM/agent guardrails, autonomous red-teaming, SAST, agentic identity (IdP), and cloud security β€” and I break AI systems before attackers do.

πŸ›‘οΈ ISC2 member Β Β·Β  🚩 CTF competitor Β Β·Β  πŸ₯‡ ISACA phishing champion Β Β·Β  πŸŽ“ MS Cybersecurity, Yeshiva University

  • πŸ”­ Building systems for AI/LLM security, secure SDLC, and cloud posture
  • 🧠 Researching agentic red-teaming, prompt-injection & tool-abuse defenses
  • πŸ’¬ Ask me about LLM guardrails, AI red-teaming, SAST, and AWS security
  • πŸ“« Reach me at saivarmadpr@gmail.com

βš’οΈ What I build

Domain What I ship
πŸ›‘οΈ AI & LLM Guardrails Guardrail frameworks and testing harnesses that keep LLM/agentic apps safe, policy-aligned, and jailbreak-resistant.
πŸ€– AI Red-Teaming Agentic red-team systems that autonomously hunt prompt injection, tool-abuse, and jailbreaks across multi-turn attack chains.
πŸ” SAST & AppSec Static analysis and secure-SDLC tooling that catches vulnerabilities before they ship.
πŸͺͺ Agentic Identity (IdP) Identity, authn/z, and least-privilege scoping for autonomous AI agents.
☁️ Cloud Security Secure AWS architectures, cloud posture management (CSPM), and deception/honeypots that surface attacker TTPs.

🧰 Tech arsenal

AI / ML & LLM Security

Python LangChain LangGraph OpenAI Anthropic Hugging Face

Offensive Security

Burp Suite Metasploit Nmap Wireshark OWASP ZAP Hashcat Kali

Cloud & DevSecOps

AWS Azure Docker GitHub Actions Linux

Languages

Python TypeScript Java JavaScript SQL Bash

πŸš€ Featured projects

πŸ€– wb-red-team Β Β·Β  votal-ai-hq

Whitebox & blackbox red-teaming framework for LLMs & agentic AI. Analyzes app source code to map tools, roles, and guardrails, then auto-generates adaptive multi-turn attack chains across categories to surface real vulnerabilities.

A platform for testing and benchmarking LLM guardrails β€” probing safety boundaries, policy compliance, and failure modes for AI/agentic apps.

Capstone: AI-deployed honeypots that lure attackers and analyze their TTPs, plus cloud misconfiguration scanning to cut incidents.

Secure AWS reference architecture β€” VPC, IAM, WAF, GuardDuty, Security Hub, and CloudFormation automation following AWS best practices.

🚩 CTF Showcase

Writeups from Yeshiva University's CTF β€” web exploitation, cryptography, and network forensics, with custom scripts and tooling.

πŸ† Credentials & wins

  • πŸ₯‡ 1st place β€” Phishing Competition, ISACA
  • πŸ₯ˆ 2nd place β€” CTF Competition, Yeshiva University
  • πŸ“œ ISC2 Certified in Cybersecurity (CC) Β Β·Β  ISC2 Member
  • πŸŽ“ MS in Cybersecurity β€” Yeshiva University

πŸ“Š GitHub stats

GitHub stats GitHub streak

Top languages

🀝 Let's connect

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