Securing LLM & NLP APIs

Explore the intersection of Large Language Models (LLMs) and API security in this course, where you'll learn how to protect APIs from evolving AI-driven threats and vulnerabilities. (Earn 1 CPE)

Course Topics

Introduction

This course aims to provide a comprehensive overview of the key security concerns, best practices, and measures that developers and organizations must implement throughout the development life cycle.

In the News

Let's look at some recent breaches involving LLMs

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Introduction to APIs in LLM & NLP

APIs connect the power of NLP techniques to applications that rely on them. This API-based approach allows language capabilities to be introduced into applications that might not already have them.

API Security Fundamentals

Let's go over the basics of API Security

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Security Protocols and Standard

This section discusses essential security protocols and standards for APIs, emphasizing the importance of implementing Secure Hypertext Transport Protocol (HTTPS) and Transport Layer Security (TLS) to ensure data encryption both at rest and in transit.

Key Security Concerns in LLM and NLP APIs

This section outlines critical security concerns associated with Large Language Models (LLMs) and Natural Language Processing (NLP) APIs.

Best Practices for API Security

This section details best practices for ensuring API security.

Implementing API Security Measures

This section describes the process of implementing security measures throughout the application development life cycle.

Meet the Instructor
Aubrey King

Aubrey King is a core and founding member of the OWASP Top 10 for LLM applications. He is also a community evangelist for F5 and has been a solutions architect and a systems architect. Aubrey is a proud comic book nerd.

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