Securiix

Would you trust an unsupervised AI?

There are two main types of AI "learning", supervised and unsupervised. The main difference between these models is that a supervised AI is used to understand the relationship between inputs and outputs, whereas unsupervised is good at sifting through raw data to find patterns.

Do you know what your computer is thinking?

With traditional software, the work to produce a given result is well-known formulas and code. These formulas can be followed through logically and produce a repeatable result every time. Knowing how your system "thinks" allows you to identify mistakes and rectify them. Many Artificial Intelligences, on the other hand, work using a black box system. This means developers cannot peer into the "thought process" of the AI and makes finding mistakes and vulnerabilities much more difficult.

What are the critical checks and balances we can put in place to manage Artificial Intelligence?

Have you been approached by someone saying they can use AI to improve your business?

Artificial Intelligence is a hot topic at the moment, and everyone is jumping to incorporate AI into their workflow. While there are many use cases for AI, we must be cautious when inviting an entity we don't fully control into our Online Ecosystems.

What are some vulnerabilities you see with incorporating AI into critical systems within your Environments?

How have you prepared your organization for the proliferation of AI?

It is evident that Artificial Intelligence will be involved in all of our everyday lives in one way or another. It's important that your online infrastructure is properly prepared to have this revolutionary technology implemented. What do you think is a critical step to preparing for AI?