GAHZLY

Not having a solid strategy to address your organization’s cybersecurity threat potential is the kiss of death for any company. Buying a solution that isn’t the best fit to meet your specific data protection and employee awareness training requirements is even worse. What you need is a business strategy that makes sense and will ensure that both are accomplished. So, you want to buy a Cybersecurity solution. What is the problem you are trying to solve? Is it a point problem or a more significant issue? How did you decide this “problem” is the priority? Most organizations remain mired in tactical warfare – reactively managing tools , putting out fires, and this is their Cybersecurity program. They decide what “problem” to budget for when a tool loses utility or an expert tells them they need something to fix a problem. But if you don’t adopt and implement a Framework to support your Cybersecurity strategy, then all you have is a mission sta...

Data Science & Cybersecurity – what is big data analytics? Why is machine learning applications so important? Why did InfoSec Professionals require to learn about DS? What to know about “data bots” as a data science professional? Differences in data science vs machine learning? How to crack cybersecurity jobs with data science advantage? DS is a multi-sided field that uses scientific techniques, methods, algorithms, and security practices to extract information and insights. With the help of DS tools such as Machine Learning and Big Data Analytics, businesses can now get access to meaningful insights hidden within massive data-sets. This is where DS can help create a significant and lasting impact. DS and cybersecurity, two of the most popular career paths, are on a collision course. Very intelligent, seasoned, senior managers do not fully understand the importance, or the complexities, of DS and cybersecurity. “There’s a mad rush in the cyber securit...