Webinar Description
Key Takeaways
- Explores the impact of large language models (LLMs) on application security
- Highlights new AI-powered threats such as code deobfuscation and logic reconstruction
- Focuses on industry-specific risks including entitlement logic and pricing manipulation
- Presents strategies for building resilient, AI-resistant code
- Targets security professionals, developers, and technical leaders in software-driven industries
“Resilient Code in the Age of AI” is a live webinar hosted by Jscrambler, scheduled for June 16. This event addresses the rapidly evolving landscape of application security, focusing on the transformative role of large language models (LLMs) in enabling new forms of cyberattacks. Attendees will gain insights into how AI systems are reshaping the way attackers analyze and exploit application code.
The Evolving Threat Landscape
Large language models have introduced unprecedented speed and sophistication to code analysis. Attackers can now use AI to read, reverse-engineer, and deobfuscate application logic in ways that were previously impossible or required extensive manual effort. This shift has created a new set of challenges for organizations seeking to protect sensitive logic and data.
The webinar will examine real-world examples of how LLMs are leveraged to map out application logic, identify vulnerabilities, and exploit weaknesses in client-side code. Special attention will be given to risks such as entitlement logic bypass, pricing manipulation, and the compromise of transaction flows across industries like e-commerce, financial services, and gaming.
Strategies for Code Resilience
To address these emerging threats, the session will present actionable strategies for building resilient code that can withstand AI-powered attacks. Attendees will learn about the latest defensive measures, including runtime code protection and advanced obfuscation techniques designed to resist LLM-driven analysis.
Jscrambler’s evolving approach to client-side security will be showcased, offering forward-looking insights into how organizations can adapt their security posture. The discussion will emphasize the importance of staying ahead of LLM-based threats and implementing robust, future-proof protection for critical applications.
Who Should Attend
This webinar is tailored for security professionals, application developers, product managers, IT leaders, and technical decision-makers. It is particularly relevant for those working in industries where application logic and sensitive data are prime targets for AI-driven attacks.
Participants will leave with a deeper understanding of the current threat landscape and practical guidance on defending applications against the next generation of AI-powered threats.