AI Assisted Decision Making of Security Review Needs for New Features

Overview

Join us for a comprehensive exploration of AI-assisted decision-making strategies designed to pinpoint the security review necessities for new features. In this insightful talk, we address the pressing challenges encountered within modern Software Development Lifecycles (SDLC), aiming to advance security oversight in environments characterized by their high-speed development processes.

Delivered via YouTube, this session is an invaluable resource for those involved in Artificial Intelligence and interested in enhancing security protocols within software development.

Syllabus

• Introduction to AI in Software Development
Overview of AI applications in the SDLC
Importance of AI in security reviews
• Fundamentals of Security in Software Development
Basic principles of software security
Common security vulnerabilities and their impact
• AI Algorithms and Models for Decision Making
Overview of machine learning models
Decision trees, neural networks, and ensemble methods
• Identifying Security Review Needs
Criteria for determining security review necessity
Risk assessment and prioritization
• Designing AI Systems for Security Analysis
Integrating AI tools in the SDLC
Data collection and preparation for AI models
• AI-Assisted Security Review Process
Workflow of AI-assisted security decision-making
Continuous monitoring and feedback loops
• Case Studies and Practical Applications
Real-world examples of AI in security reviews
Lessons learned from industry applications
• Challenges and Limitations of AI in Security
Common pitfalls in AI-assisted decision-making
Addressing bias and ensuring fairness in models
• Future Trends in AI for Security and Development
Emerging technologies and their potential impact
Evolving standards and best practices
• Capstone Project
Apply learned concepts to a mock feature release
Conduct AI-assisted security review and present findings

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Subjects

Conference Talks