Kru Infosec

About Me

$ whoami

I am a Certified Ethical Hacker (CEH v13) currently pursuing B.Tech CSE (Cyber Security) at Bennett University. I have hands-on experience in CVE analysis, SIEM development, and building AI-powered security tools. Passionate about threat detection, automation, and securing systems through collaborative projects.

Here are some technologies I have been working with:

Python Scripting

Nmap

Bash Scripting

PortSwigger

Linux

Elastic Stack (SIEM)

Kanishk Rai

Experience

Cybersecurity Intern

Jun 2025 – Aug 2025

Cisco Networking Academy — AICTE Virtual Internship Program

Junior Research Team Member

2023 – 2025

Cipher — Cybersecurity Club, Bennett University

Projects

Scythe (WIP)

An AI-powered security testing terminal designed for pentesters, security analysts, and bug bounty hunters. Features multi-terminal support, automation, session tracking, and a built-in AI assistant.

View Project

Custom SIEM System

Developed a SIEM system for real-time monitoring, detection, and response to security events using Elastic Stack, MySQL, and Linux logs. Implemented automated alerts stored in MySQL for comprehensive analysis.

View Project

Web Profile

A personal web portfolio showcasing projects, research work, and blog posts. Also serves as a professional contact point.

View Project

Certifications

CEH v13

EC-Council

Certified Ethical Hacker — validating skills in penetration testing, vulnerability assessment, and ethical hacking methodologies.

Google Cybersecurity Professional

Coursera — Google

Professional certificate covering security operations, risk management, threat analysis, and incident response fundamentals.

Blog

Scythe: An AI-Powered Cybersecurity Workbench

A deep dive into the Scythe project — exploring its architecture, the problems it solves, its technical components, and the lessons learned during development.

Read More

Research

Quantum-Enhanced Hybrid LSTM-CNN for IoT Intrusion Detection

Ongoing

A high-performance intrusion detection framework for IoT environments, integrating Quantum Computing into a Hybrid LSTM-CNN architecture to improve threat detection for DDoS, botnet activity, reconnaissance, and data exfiltration.

Paper in progress