How long does a security audit take?

Most audits are completed within 1-2 weeks, depending on the size and complexity of your codebase.

What tech stacks do you support?

We audit applications built with JavaScript/TypeScript, Python, Go, Ruby, PHP, and more. Whether you're using React, Next.js, Django, Rails, or any other framework—we've got you covered.

Is my code kept confidential?

Absolutely. We sign NDAs, use encrypted connections, and delete all access after the audit. Your code never leaves your repository—we only need read access.

How is this different from automated scanning?

Automated scanners catch common issues but miss business logic flaws, complex auth bypasses, and context-specific vulnerabilities. Our manual audits think like attackers and understand your unique application.

How do you prevent Rate Limiting?

Implement rate limiting on all authentication endpoints Use progressive delays for repeated failures Rate limit by IP, user, and API key Return 429 Too Many Requests with Retry-After header Consider using a distributed rate limiter for scaled systems

What are examples of Rate Limiting?

Limiting login attempts to 5 per minute. API rate limits of 100 requests per minute. Throttling password reset requests. Limiting file uploads per hour

What is Rate Limiting?

1 min read Updated 2026-02-05

A technique to control the number of requests a user can make to an API or service within a time period. Essential for preventing brute force attacks and API abuse.

Related: Brute Force Attack DDoS

Understanding Rate Limiting

Rate limiting protects against abuse by restricting how often users can perform actions. Implementation strategies include fixed window, sliding window, token bucket, and leaky bucket algorithms. Limits should be set per endpoint based on expected legitimate usage.

Examples

Limiting login attempts to 5 per minute
API rate limits of 100 requests per minute
Throttling password reset requests
Limiting file uploads per hour

How to Prevent

Implement rate limiting on all authentication endpoints
Use progressive delays for repeated failures
Rate limit by IP, user, and API key
Return 429 Too Many Requests with Retry-After header
Consider using a distributed rate limiter for scaled systems

Related Terms

Brute Force Attack

An attack method that involves systematically trying all possible combinations of passwords or keys until the correct one is found. Rate limiting and account lockouts help prevent these attacks.

DDoS

Distributed Denial of Service. An attack that overwhelms a system with traffic from multiple sources, making it unavailable to legitimate users.

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