How secure is an application using AI and ML?

Artificial Intelligence is a brilliant machine used for decision-making. It uses a method of reading data and using that data to transform texts, interpret behaviors and, learn from more data that is put into it – through machine learning.

There are different models of machine learning, and the most popular one is ChatGPT. From the explanation of AI, AI gives back what you give to it. It uses Machine Learning to learn from what it has been given, and it transforms responses based on its data store.

In Cybersecurity, it has its benefits and drawbacks. In an organization, there are critical things to do to implement AI/ML in technology. It is critical for organizations to take into consideration the privacy issues of AI and ML. Over time, there is the concern that sensitive data will be fed back to users.

However, it is a useful tool in reconnaissance for ethical hacking (and real hacking – black hat non-ethical). It has been beneficial in threat-hunting. AI brings to the industry more phishing emails than ever, according to security researchers.

Organizations that implement AI into their threat-hunting process see these benefits:

• More returns on investment according to IBM*
• AI aids in the analysis of data,
• It improves detection and response activities,
• and reduces time spent on irrelevant data.

Organizations need to keep employees abreast of the challenges and the acceptable use of AI, and invest in awareness, and technology security.

Reference:

*The Power of AI Security, IBM