AI SECURITY • DEVELOPER TOOL • HACKATHON 2026

Secure Your Code
Before It Ships.

CodeGuard AI analyzes source code, detects security vulnerabilities, explains the risk, and recommends secure fixes—all in one developer-friendly workspace.

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Built for developers. Designed for secure coding.

Static Analysis AI Layer CWE Mapped

codeguard-soc-v2.1.exe

● LIVE

// CODEGUARD AI SECURITY KERNEL INITIALIZED

> target: auth_service_v1.py

> scanning patterns... [OK]

SECURITY SCORE 42 / 100

FINDINGS 01 Crit / 02 High

Critical SQL Injection detected in user authentication query. Immediate remediation required.

> Analyzing mitigation path...

INTERACTIVE WORKSPACE

Code Security Scanner

Paste your code. Choose the language. Let CodeGuard analyze the security risks.

Quick Load Sample Vulnerabilities:

SECURITY ASSESSMENT

Analysis Dashboard

Security Score

CRITICAL RISK

42 /100

Code posture requires immediate remediation prior to production deployment.

Target Posture: >90/100

Vulnerability Summary

1 Critical

2 High

1 Medium

3 Low

Language: Python

Files Analyzed: 1

Scan Time: 0.84s

Analysis Engine: Static Pattern + AI Layer

Detected Vulnerabilities (7)

Click any finding to inspect risk details, attack vectors, and secure remediation.

AI-POWERED REMEDIATION

AI Secure Fix & Comparison

Understand the vulnerability. Apply a safer approach and witness your security score improve instantly.

Vulnerable Code main.py (Original)

import sqlite3

username = input("Enter username: ")
connection = sqlite3.connect("users.db")
query = "SELECT * FROM users WHERE username='" + username + "'"
result = connection.execute(query)
print(result.fetchall())

Recommended Secure Code main.py (Patched)

import sqlite3

username = input("Enter username: ")
connection = sqlite3.connect("users.db")
# Using parameterized queries to prevent SQL Injection
query = "SELECT * FROM users WHERE username = ?"
cursor = connection.cursor()
cursor.execute(query, (username,))
print(cursor.fetchall())

WORKFLOW ARCHITECTURE

How CodeGuard AI Works

From raw source code to validated security posture in four precise steps.

INPUT

Paste your source code or load sample vulnerable patterns into the secure sandbox editor.

ANALYZE

Static pattern rules and AI-assisted engines examine security-sensitive AST structures.

EXPLAIN

Identifies vulnerabilities with CWE mapping, confidence ratings, and beginner-friendly risk breakdowns.

FIX

Receive production-ready secure code recommendations with one-click copying and score improvements.

DETECTION COVERAGE

Supported Vulnerabilities

CodeGuard AI detects top industry security flaws mapped directly to Common Weakness Enumeration (CWE).

SQL Injection

CWE-89

Prevents untrusted user input from manipulating database query logic and extracting unauthorized records.

Cross-Site Scripting (XSS)

CWE-79

Detects unescaped DOM rendering and malicious script execution in client-side applications.

Command Injection

CWE-78

Identifies dangerous execution of shell commands using unsanitized parameter inputs.

Hardcoded Secrets

CWE-798

Flags plaintext API keys, passwords, bearer tokens, and private cryptographic secrets committed in source code.

Path Traversal

CWE-22

Stops directory traversal attacks seeking unauthorized access to sensitive server files via relative path inputs.

Weak Cryptography

CWE-327

Detects deprecated hashing algorithms (MD5, SHA1) and insecure random number generators.

Dangerous eval()

CWE-95

Prevents arbitrary code execution vulnerabilities resulting from dynamic code evaluation.

Insecure File Handling

CWE-434

Identifies unrestricted file uploads and missing MIME-type validation checks.

DEVELOPER ADVANTAGE

Security should be understandable.

Understand

Don't just detect vulnerabilities. Understand why they matter, how attackers exploit them, and what damage they cause.

Fix

Get practical, production-ready secure coding recommendations instead of cryptic error messages.

Learn

Use every scan as a cybersecurity learning experience to build secure coding habits for hackathons and professional careers.

BUILT BY TECHINA

Engineering Secure Futures

CodeGuard AI is a cybersecurity-focused project created by the techinA team as part of our vision to build practical technology that makes digital security more accessible to developers and students.

Made with curiosity, code, and a passion for cybersecurity.

AI • Cybersecurity • Software Development

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Secure Your Code
Before It Ships.

Code Security Scanner

Analyzing Source Code...

Analysis Dashboard

Security Score

Vulnerability Summary

Detected Vulnerabilities (7)

AI Secure Fix & Comparison

AI Remediation Explanation (IBM Granite / Watsonx Architecture)

How CodeGuard AI Works

INPUT

ANALYZE

EXPLAIN

FIX

Supported Vulnerabilities

SQL Injection

Cross-Site Scripting (XSS)

Command Injection

Hardcoded Secrets

Path Traversal

Weak Cryptography

Dangerous eval()

Insecure File Handling

Security should be understandable.

Understand

Fix

Learn

Engineering Secure Futures

Secure Your Code Before It Ships.

Code Security Scanner

Analyzing Source Code...

Analysis Dashboard

Security Score

Vulnerability Summary

Detected Vulnerabilities (7)

AI Secure Fix & Comparison

AI Remediation Explanation (IBM Granite / Watsonx Architecture)

How CodeGuard AI Works

INPUT

ANALYZE

EXPLAIN

FIX

Supported Vulnerabilities

SQL Injection

Cross-Site Scripting (XSS)

Command Injection

Hardcoded Secrets

Path Traversal

Weak Cryptography

Dangerous eval()

Insecure File Handling

Security should be understandable.

Understand

Fix

Learn

Engineering Secure Futures

SQL Injection

Project: Demo Source Code

Executive Summary

Vulnerability Breakdown

Top Remediation Priority

Secure Your Code
Before It Ships.