Secure Your Continuous Delivery Using Machine Learning
Security permeates – or at least should run through – every aspect of software development, delivery, and operations.
Be sure to secure your continuous delivery (CD) process and tools as much as your development and operations processes. Without a secure CD solution, your efforts in the other parts of the software process are at risk.
Join this tech talk, intended for all levels of Continuous Delivery (CD) professionals:
- What is the best security framework for CD that is proven to be effective?
- What is required at the beginning of a CD initiative to ensure long-term security?
- What role should CD automation and machine learning (ML) play in CD security? Are there risks in adopting ML?
- What are some lessons learned from your implementations at high-security organizations?
Funs Kessen, Principal Architect Security & Compliance OpsMx
Funs Kessen is a technology leader who specializes in security and compliance. He helps enterprises to transform and accelerate secure continuous delivery. He has 20+ years of experience in software delivery having worked for multiple bluechip companies in various technology leadership roles. Prior to joining OpsMx he was working with AWS as a Principal Solutions Architect.
Gopal Dommety, PhD, CEO OpsMx
Gopal is the CEO of OpsMx. OpsMx was founded with the dream of delivering applications with no human intervention – via its Continuous Delivery and Continuous Verification Platform. Previously he was CEO of N42 and held senior roles at Cisco. Gopal studied Computer Science at IIT (Kharagpur), Finance & Public Policy at Stanford University, and obtained a Ph.D in Large Scale Distributed Systems from Ohio State University. He has been awarded 61 US Patents and designed widely deployed Internet Protocols.