Application Security in the Age of AI
Radostina Kondakova
CyberSec Team Lead, Scalefocus
Leading the Security Business Line at Scalefocus, alongside with the Cyber Security Team. As an education holds a master’s degree in information technologies and software development and a bachelor’s in finances. Before joining the informational security world, worked as a programmer, quality assurance & automation engineer and project manager. Experience with clients from different sectors such as FinTech, Healthcare, Energy, Software Development and many more. Interest and experience are in: SSDLC Secure Software Development Life Cycle DevSecOps Mobile and WEB Application Security Security Automation Threat modelling Penetration testing Governance Risk and Compliance Quality Assurance & Automation Password Typologies and Authentication
Yordan Popov
Senior Security Engineer, Scalefocus
Yordan is an Application Security engineer and a former backend developer with 6+ years of experience in multiple domains, specializing in secure code reviews and penetration testing. He is passionate about software engineering, AppSec, penetration testing, and bounty hunting.
Risk Assessment: Understanding the capabilities of identifying and evaluating security risks via AI and what risks AI presents
What is SSDLC: An introduction to the Secure Software Development Life Cycle and its significance.
Modern SSDLC Methodologies: Exploring the latest trends and methodologies leveraging AI
How to Implement a SSDLC: Practical steps and strategies for integrating a Secure Software Development Life Cycle in your processes.
Threat Modeling & AI-Assisted Threat Modeling: Leveraging AI to identify and mitigate potential threats during the development phase.
Secure Coding Today: Best practices for writing secure code in an AI-influenced environment.
Modern Runtime Security with AI: Utilizing AI to enhance runtime application security and protect from emerging threats.