Artificial Intelligence (AI) is a rapidly evolving technology that can revolutionize the way we use and interact with software. In recent years, the integration of AI in Windows software has transformed the computing experience, making it more personalized, efficient, and effective. AI is vital in enhancing the accessibility of Windows software. For example, Windows uses Natural Language Processing (NLP) and machine learning algorithms to learn from user behavior and respond to voice commands. As a result, it can adapt to user needs, making it easier to use and more intuitive.

If the machine has been fed with erroneous or faulty data, it will output faulty values. The problem arises from the ambiguity of how the AI model is built. These are usually black box models that exist as data sinks and sources with no explanation of what goes inside. To the user, such black-box models cannot be interrogated or questioned as to how it arrives at a result. Furthermore, there are additional problems to be tackled with result variations.

Just about everyone in the cybersecurity field has accepted the notion that adversaries are just as smart as we are. Anytime we celebrate the latest threat detection and prevention breakthrough, we're well aware that the bad guys are at work devising ways to evade or disrupt it. Artificial intelligence (AI) in its various permutations--from traditional machine learning (ML) to deep learning (DL)--is no exception. As it evolves and grows, we fully expect that adversaries will ramp up their knowledge and ability to exploit tools that use AI. What does this mean for enterprise security teams and cybersecurity vendors?