Secure Implementation with AI
Date and time is TBD
|Location is TBD
The goal of this module is to use AI for secure implementation of an application, which the engineers can use for secure application development and speeding up the operation in various stages of Software development lifecycle.
Time & Location
Date and time is TBD
Location is TBD
About the event
Learning Objective – The goal of this module is to use AI for secure implementation of an application, which the engineers can use for secure application development and speeding up the operation in various stages of Software development lifecycle.
Audience – Any intermediate level professional in cybersecurity/software development/solutions architecture/devsecops.
Pre-Requisite: Prerequisites for understanding AI in cybersecurity encompass fundamental knowledge in Artificial Intelligence (AI), including Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. Additionally, familiarity with Large Language Models (LLMs), covering their definition, significance, evolution, and applications across various domains like Natural Language Understanding, Text Generation, Conversational Agents, and Information Retrieval, is essential. Understanding the synergy between Cybersecurity and AI involves leveraging AI for automating security policies, reporting, and detecting common security flaws such as anomalies in user behavior, unauthorized access attempts, cryptographic key management, and weaknesses in cryptographic implementations. Furthermore, integrating AI into the Secure…