In this webinar, we’ll explore how LLMs are being used to deobfuscate, reconstruct, and analyze complex application logic across high-stakes industries — and, more importantly, what organizations can do to adapt. Alongside real-world examples, we’ll share our perspective on the evolving challenges AI introduces for application security, and the defensive strategies that may become essential as LLM capabilities continue to advance.

You'll walk away understanding:

  • How LLM-powered attacks work step by step — and what makes them different from anything before
  • The specific risks facing your industry, from entitlement logic to pricing manipulation to transaction flows
  • What code resilience actually requires at runtime
  • How Jscrambler has evolved its approach to stay ahead of LLM-based threats — and what's coming in 2026

Meet the Speakers

Katia Kupidonova

Jscrambler, Product Marketing Manager

Pedro Pereira

Jscrambler, AppSec/ML Researcher

Duarte Carneiro

Jscrambler, Product Manager

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You'll walk away understanding:

  • How LLM-powered attacks work step by step — and what makes them different from anything before
  • The specific risks facing your industry, from entitlement logic to pricing manipulation to transaction flows
  • What code resilience actually requires at runtime
  • How Jscrambler has evolved its approach to stay ahead of LLM-based threats — and what's coming in 2026