AI or ML? What’s the difference?

Artificial intelligence (AI) and machine learning (ML) are two of the most talked about technologies in technology today. While they are often used in the same conversation, they are not the same thing. Knowing the difference is important for understanding how each one plays a role in protecting your business.

The following list of cybersecurity best practices can help to protect your organization from cyber threats.

At STACK Cybersecurity, we believe clarity leads to better decisions. That includes understanding how technologies like AI and ML help us stop threats, respond faster, and give our clients more peace of mind.

What is Artificial Intelligence?

Artificial intelligence, or AI, refers to the broader idea of machines being able to perform tasks that normally require human intelligence. This includes things like analyzing information, recognizing speech, making decisions, or solving problems.

MIn cybersecurity, AI can sort through large amounts of data, recognize potential threats, and help automate actions that are used to require a human team. For example, an AI system might monitor your network and flag suspicious behavior that could be a sign of a breach.

What is Machine Learning?

Machine learning is a part of artificial intelligence, but it works a little differently. Instead of following a set of programmed rules, ML learns by looking at data. Over time, it gets better at identifying patterns, predicting outcomes, and detecting behavior that doesn’t look right.

In practice, machine learning can detect unusual login activity, phishing attempts, or changes in system behavior that might signal a cyberattack. It can catch these threats faster than a person would, and with fewer false alarms.

How Deep Learning and Neural Networks Fit In

Deep learning is a type of machine learning that uses layered networks, often called neural networks. These networks can process a lot of data and discern patterns without guidance.

Deep learning is useful for more advanced cybersecurity tasks, such as analyzing images from security cameras or identifying voice patterns that could be linked to fraud. It's the technology behind some of the most powerful detection tools available today.

Why These Technologies Matter for Cybersecurity

Cybersecurity threats are evolving. Attackers are getting more creative, and the tools used to protect businesses need to keep up. AI and ML help us stay ahead by offering smarter, faster, and more efficient defenses.

Here’s how they make a difference:

• Faster detection. ML spots threats before they cause damage
• Smarter response. AI helps automate how we react to incidents
• Fewer mistakes. Intelligent systems reduce false positives and alert fatigue
• Continuous improvement. The more data the system sees, the better it gets

AI and ML are not replacements for human experts. They are tools that help those experts work faster and more effectively. When combined with the right strategy, these technologies can reduce risk and improve your organization’s entire security posture.

Need help improving your cybersecurity posture?

Call (734) 744-5300 or Contact Us to learn how our Cyber STACK can fortify your defenses.