Jul 2019
22 Mon
23 Tue
24 Wed
25 Thu 09:15 AM – 05:45 PM IST
26 Fri 09:20 AM – 05:30 PM IST
27 Sat
28 Sun
Ashish Verma
Last decade has seen an exponential rise in digital adoption of enterprises. We have moved on from just being an internet to internet of things and now internet of everything. Although connectedness has painted much brighter future but this has also provided an opportunity for cyber criminals. Cyber security has now become one of the top priorities of enterprises.
But threat detection is like finding a needle in a forest. There is enormous amounts of data generated in a modern enterprise (with no well defined perimeter) and you got to absorb, feel and then identify those rare malicious activities in the real time.
Considering the muscle required to deal with the scale and variety of enterprise security data, machine learning comes with a great potential to solve cybersecurity problems.
In this talk, I would like to cover:
a) Some enterprise cybersecurity challenges
b) How machine learning solves them
c) What are the challenges associated with generating value from machine learning in enterprise cybersecurity environment
d) Future of machine learning in cyber security
Ashish Verma is a machine learning researcher working in Qualys (Pune). He is currently leading machine learning research and building a machine learning based cybersecurity product for Qualys.
In the past he has built a scalable AI platform for digital marketing as co-founder of AIdentity.ai. He is also currently authoring a book on application of deep learning in cybersecurity.
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