A simple guide for how to learn AI security
Here are five simple steps to get a firm understanding of the unique security risks of AI systems
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AI is everywhere in 2023 which is amazing and terrifying at the same time
Even if you do not buy into the hype, you cannot deny just how big of an impact AI is having on nearly every industry across the world
One area that is going to become huge in the coming years is that of AI security due to the massive adoption that is happening
AI is going to bring new types of security risks that the cybersecurity industry is not ready for
Unfortunately we are still in the infancy of this niche and there is not enough material present for how to learn AI security
For the vast majority of people, AI security translates to using ChatGPT to write some security related prompts !
In this article I want to go over five easy steps you can use to learn AI security and get a running start on this upcoming field
Step 1 : Understand Machine Learning concepts
Machine Learning is the engine that drives most AI implementations and it is essential to learn about it. Understand its core concepts and how it differs from normal applications. I would suggest getting a firm understanding of the below topics:
- Supervised and unsupervised learning
- Neural networks and deep learning
- Reinforcement learning
- Feature engineering
- Model evaluation and validation
You do not have to become an expert or get into the nitty gritties of the different types of machine learning algorithms but have a firm understanding of the concepts that ML is based around
The reason being that a lot of the attacks on AI seek to exploit these very concepts thus a good foundational knowledge is essential !
