Reinventing Prevention with Deep Learning
There has never been a more chaotic time in Cybersecurity. A relentlessly expanding threat landscape fueled by the perfect storm of weaponization, and monetization of attacks. The complexity of threat is only matched by the elaborately confusing amount of options available to detect them. We have seen an explosion of innovation but also a divergence in philosophy when formulating a defense strategy to combat these threats... so what is the answer?
Have we as an industry charged ahead and forgotten the lessons learnt in the formative years of hacking, viruses, and device protection?
Have we given up on the notion that threat prevention may still actually be possible, for even the most advanced attacks?
The idea that a complex problem must inherently require a complex solution should not be taken for granted. In this new age of Advanced Threats, we need now, more than ever need to understand our past in order better prepare for the future...
Join us for a look at the evolution of protection against the ever changing threat landscape as we consider what can be learnt from past approaches to threat mitigation, and if these approaches can be modernized to cripple the multi-billion dollar Cybercrime industry.
