Security Intelligence with Python





Security and Threat Intelligence have been the buzz words for Information security for a while. There are some really great tools commercial and open source out there which make Threat and Security Intelligence easy to gather and implement. However the most common issue with Threat Feeds, Geo-location filters, black and white-lists is that sometimes we are unable to figure out the false positives and false negatives. Using Python we can develop incredibly useful threat and intelligence gathering tools that will collect and use data from Social Networks by doing link analytics and mood analytics. Collect security trends and create dashboards that we can use in the proper context. This will help enterprises and individuals to have a 360 degree view of the threat landscape.


Basic understanding of: 1. Python Pandas and Numpy 2. Information Security Intelligence

Content URLs:

Speaker Info:

Hilal Ahmad Lone is a Security Champion and Security Architect at Intuit with more than 10 years of experience in Programming and Information Security. While not busy coding, he likes to hike, motorcycle rides and attend conferences.

Varsha Aggarwal graduated from PESIT and is currently working as Software Engineer at Intuit. She is a programming nerd with a passion for coding and developing security applications.

Rohit Mual is a Senior Software Engineer at Intuit and loves Security. He has been working in IT industry for 6+ Years and has been very active in the community.

Section: Data Visualization and Analytics
Type: Talks
Target Audience: Intermediate
Last Updated: