Code Assistants

Secure AI-generated code

AI can write code fast, but not always safely. Scan generated code for vulnerabilities, secrets, and injection patterns before deployment.

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AI Code Review

Protected

# AI-generated database query

def get_user(user_id):

query = f"SELECT * FROM users WHERE id = {user_id}"

return db.execute(query)

SQL Injection Detected

Unparameterized query vulnerable to SQL injection. Use prepared statements.

Suggested Fix

db.execute("SELECT * FROM users WHERE id = ?", [user_id])

Code vulnerabilities we detect

AI writes code fast but can introduce security flaws. We catch them before they ship.

Code Injection

Detect malicious code patterns, SQL injection, and command injection in AI-generated code.

Secrets Detection

Identify exposed API keys, passwords, tokens, and credentials before they reach production.

XSS Prevention

Catch cross-site scripting vulnerabilities in generated frontend code.

Security Vulnerabilities

Flag common security anti-patterns and OWASP Top 10 vulnerabilities.

Works with your tools

Scan AI-generated code before execution

Detect hardcoded secrets and credentials

Identify SQL injection vulnerabilities

Block XSS and command injection patterns

Works with Copilot, Cursor, and custom tools

Real-time code review with sub-100ms latency

Code Scanner Example

# Scan AI-generated code
code_output = ai_assistant.generate(prompt)

# Check for vulnerabilities
result = benguard.scan_code(
  code=code_output,
  scanners=['sql_injection', 'xss', 'secrets']
)

if result.is_valid:
  # Safe to use
  execute_code(code_output)
else:
  # Log issues and block
  for issue in result.issues:
    print(f"{issue.type}: {issue.message}")

Ready to secure your code assistant?

Catch vulnerabilities before they reach production. Start scanning today.

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