AI and ML present a new dawn in the cybersecurity industry. AI is not a new concept to computing. It was defined in 1956 as the ability of computers to perform tasks that were characteristic of human intelligence. Such tasks included learning, making decisions, solving problems, and understanding and recognizing speech. ML is a broad term referring to the ability of computers to acquire new knowledge without human intervention. ML is a subset of AI and can take many forms, such as deep learning, reinforcement learning, and Bayesian networks.

In the present times, AI gadgets are the best outcomes of advanced technology. The tech-savvy people are adapting the features and benefits of AI gadgets very quickly. Those advanced AI gadgets have enhanced the quality of our lifestyle. The smart AI gadgets have enabled us to complete our regular household tasks in smarter ways. Moreover, AI-based smart gadgets can be your best friends in your busy days.

This is a summary of an article written for Security Week by Fortinet's CMO and Executive Vice President of Products, John Maddison. The entire article can be accessed here. In the cybersecurity space, there has always been an unfair advantage for cybercriminals. Adversaries only need to find one vulnerability to wreak havoc on an entire system. All it takes is a single misconfigured device, or outdated operating system.

Artificial intelligence (AI) brings a powerful new set of tools to the fight against threat actors, but choosing the right combination of libraries, test suites and trading models when building AI security systems is highly dependent on the situation. If you're thinking about adopting AI in your security operations center (SOC), the following questions and considerations can help guide your decision-making. Spam detection, intrusion detection, malware detection and natural language-based threat hunting are all very different problem sets that require different AI tools. Begin by considering what kind of AI security systems you need. Understanding the outputs helps you test data.