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From Prompt to Exploit: How LLMs Are Changing API Attacks
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The way applications are being attacked is changing faster than most teams realize. As LLMs enable faster discovery and exploitation of weaknesses, APIs have become the easiest path for attackers to navigate complex, interconnected systems. This session is for anyone looking to understand how attacker behavior is evolving in practice, and what that means for securing modern, API-driven environments.
The problem is not just more attacks, it is the speed and efficiency at which they now happen. Traditional security approaches were not built for automated exploit chaining or machine-speed reconnaissance, creating gaps in visibility and control. This session breaks down where those gaps exist and how teams need to rethink trust, access, and risk in an AI-driven world.
Top reasons to attend:
- See how LLMs are changing attacker workflows
- Understand why APIs are the primary attack surface
- Learn how interconnected systems amplify risk
- Identify gaps in traditional AppSec approaches
- Reframe how to think about security in an AI-driven landscape
Key Takeaways:
- How AI is accelerating the path from prompt to exploit
- Why APIs are uniquely exposed in modern architectures
- Where current security models fall short
- What needs to change in how teams think about visibility and control
