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PowerBI Data Analyst - Create visualizations and dashboards from scratch
Overview
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Learn essential security practices for protecting AI API endpoints from common vulnerabilities and attacks in this 14-minute tutorial. Explore critical security measures including rate limiting strategies (fixed window, sliding window, and token bucket algorithms), SQL injection prevention, XSS protection, and bot detection. Discover how to implement proper user identification, set maximum completion tokens, and estimate token usage for AI applications. Master the setup and configuration of security tools like Arcjet for comprehensive endpoint protection, including shield functionality, rate limiting, and email validation. Understand how to detect and prevent sensitive information leakage while implementing multiple layers of defense for your API infrastructure. Gain practical knowledge of common security risks that threaten AI endpoints and learn actionable solutions to safeguard your applications before vulnerabilities are exploited.
Syllabus
00:00 Intro
01:27 Example API
02:37 Max completions tokens
03:06 User id
04:20 Rate limiting
05:12 Fixed window
05:41 Sliding window
05:56 Token bucket
06:43 Arcjet setup
09:12 Estimate tokens
11:17 Other common security risks
12:08 Detect bot
12:47 Sensitive information
13:41 Other
Taught by
ByteGrad