Looking for some top hacking techniques? Read about the most common ones below! 

Credit to Finjan.com, for more detail on this content see the original post: https://blog.finjan.com/9-common-hacking-techniques-and-how-to-deal-with-them/

Big data can provide numerous insights to enterprises and help professionals to make informed decisions. When used in cybersecurity, big data can find trends and correlations, flag anomalies, and recognize the malicious activity. However, malicious hackers are also benefiting.  As AI and machine learning find their way into the world of malicious cyber attacks, cybercriminals are finding new and innovative ways to attack our systems. So, does big data hold the answer to combating cybercriminals?

The idea of an unhackable password is beyond the realm of possibility, but there are ways to protect yourself and make your password harder to guess than the average password. Cybersecurity professionals lay strict rules on not reusing passwords, picking long, complex ones, and making sure your passwords are safe because if there is a will, there's a way. The first step to understanding how to pick a password is to understand how password cracking works.

“We all use math every day;

Data Classification, Clustering, and Regression is part 5 of this series on Data Analysis. The focus of this article is to use existing data to predict the values of new data. 

If you missed the other posts in this series, read them here: 

• • Part 1: An Introduction to Data Analytics  
  • Part 2: What is Data
  • Part 3: Basic Data Visualization Techniques
  • Part 4: Clean Raw Data

This is part 4 of this series on Data Analysis. The focus of this article is how to take raw data and make it more suitable for analysis.

If you missed the other posts in this series, read them here: 

• An Introduction to Data Analytics  
• What is Data
• Basic Data Visualization Techniques

This is part 3 of this series on Data Analysis. The focus of this article is all the different types of data visualizations and the reasons you might choose each one.

If you missed the first two pieces in this series, read them here: An Introduction to Data Analytics and  What is Data.

This is part 2 of this series on Data Analysis. The focus of this article is all the different types of data and how each one can be analyzed.

If you have not yet read Part 1, you can do so here.

Every day, words like “Artificial Intelligence”, “Big Data”, “Data Analytics”, and “Machine Learning” are thrown around constantly these days, but what do they actually mean? Perhaps more importantly, why should you care?

Part 4: Applications of Artificial Intelligence and Machine Learning for Task Simplification

Welcome back and thanks for tuning in! This is part 4 of this series on AI & Cybersecurity. The focus of this article is the application of Artificial Intelligence and Machine Learning that are making life simpler.