Let’s face it, the IT Security staff of businesses and corporations are over taxed today. Not only do they have to combat the Cyber threats that occurring today, but they have to keep up with the constant scramble of patches, software updates, and firmware upgrades. Not to mention, but they also have to try to figure out what the Cyber security landscape looks like into the future.
For instance, what kinds of threats and risks are looming on the horizon? What is the best way that they can be mitigated? Will there be brand new pieces of malware coming out? Or will there just be variants of it? These are amongst the many questions that must be answered. But asking them is the easy part, and answering them is the difficult part.
For example, the IT Security staff must manually figure all of this out. They have to look back at previous Cyber-attack signatures in order to predict what the future holds. To make matters even more complex, multiple sources of data have to be used – thus resulting in a very time-consuming process.
But, with the advent of Machine Learning (ML) and Artificial Intelligence (AI), modelling the Cyber threat landscape of the future has become a much easier and quicker. What would take days and even weeks can now be accomplished in just a matter of minutes.
In this podcast, we have the honor and privilege of interviewing David Ting, the VP of Engineering at DataVisor. This company has pioneered the innovation and development of ML and AI tools for any IT Security staff.
Dial in today and learn how you use these new tools to protect your organization!!!
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