Okay see, AI can be a tool for security but it’s not invincible so fully relying on AI for security can be risky.

Now, let’s understand the risks associated with using AI in cybersecurity with an example – Imagine AI as a digital guard, protecting your digital fortress, it identifies and defends your system from any cyberattacks.

But even AI has its weakness just like a human guard. The AI systems can be tricked by Hackers who might find loopholes in the AI’s defenses, or even teach it to act in harmful ways.

These are the following risks associated with AI-

1. Adversarial Attacks

AI can be tricked. An attack called AI poisoning where hackers can trick AI systems into making mistakes. Other than that with Evasion Attacks they find sneaky ways to bypass its defenses. And the most common of them is Deepfakes where AI is used to create fake content which seems real leading to reputation damage.

2. Errors and Bias

See, sometimes, AI systems make errors, that is called AI Hallucinations where it can mistake a harmless file for a virus and vice versa. This can lead to false alarms or missed threats.

AI can be biased. If the data used to train an AI is biased, the AI might make unfair decisions. In relation to that there is another problem called Black Box problem when the reasoning behind AI decisions is challenging to understand.

3. Dependence

Too much reliance on anything is risky. It’s the same with AI as well, while it is helpful, it’s important to check it’s work under human expertise.

Now, there’s another concern with the use of AI that might take humans jobs. And as AI is getting better, that is a valid reason to worry.

So, at last these are the few things to keep in mind while using AI safely:

1. Making sure that AI systems are trained on fair and unbiased data.
2. By regularly testing AI systems to find and fix mistakes.
3. Combining human expertise with AI to make better decisions.
4. And to be aware of the potential risks and limitations of AI.