Prevent Cyberattacks with AI vs. Traditional AV

What Is Artificial Intelligence? What Is Artificial Intelligence? What Is Artificial Intelligence?

What Is Artificial Intelligence?

An Extraordinary Ability to Extract Insights
Artificial intelligence (AI) is a system that has been taught or learned how to carry out specific tasks without being explicitly programmed how to do so. Today, most of the fruitful research and advancements have come from the sub-discipline of AI called machine learning (ML), which focuses on teaching machines to learn by applying algorithms to data. Often, the terms AI and ML are used interchangeably. 
Machine Learning Can Keep You Secure Machine Learning Can Keep You Secure Machine Learning Can Keep You Secure

Machine Learning Can Keep You Secure

For a problem to be a candidate for an artificial intelligence/machine learning solution, it must be solvable with data and involve sufficient relevant acquirable data. Plus, sufficiently powerful computing systems must be available to perform the necessary processing within a reasonable time-frame. 

The Path Forward for Cybersecurity's AI

Today’s AI Cybersecurity

Enterprise systems are constantly being updated, modified, and extended to serve new users and new business functions. In such a fluid environment, it’s helpful to have ML-enabled “agents” that can cut through the noise and point you to anomalies or other indicators that provide forensic value.

The Future of AI Cybersecurity

As ML proliferates across the security landscape, it’s already raising the bar for attackers – each year it’s getting harder to penetrate systems. Attackers will likely adopt their own ML techniques while security professionals deploy and advance ML defensively to prevent and protect.

Security Professionals’ Introduction to AI

Techniques Techniques Techniques

Techniques

Learn standardized approaches like dividing samples into clusters based on similarities in features and attributes. 
Computational Methods Computational Methods Computational Methods

Computational Methods

Take advantage of proven methods that predict the likelihood that a sample belongs to a predefined class. 
Leverage Probability Leverage Probability Leverage Probability

Leverage Probability

See the distinct benefits of applying predictive modeling and two types of neural networks while working through classification problems.  

More AI Resources From Cylance

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