LLM

CTFs in the AI Era

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The Include Security team attended the BSides 2026 CTF competition and observed how effective frontier models have become at solving a variety of CTF challenges. Our team gives a first-hand account of how the winning strategy has recently shifted to prioritizing efficient solve times and orchestration pipelines that can combine the speed of lighter-weight models on easier challenges with a heavy-hitting model’s reasoning capabilities. We also highlight why the success of LLMs in CTFs does not translate as effectively in the arena of professional security assessments.

LLMs in Applications – Understanding and Scoping Attack Surface

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In this post we consider how to think about the attack surface of applications leveraging LLMs and how that impacts the scoping process when assessing those applications. We discuss why scoping matters, important points to consider when mapping out the LLM-associated attack surface, and conclude with architectural tips for developers implementing LLMs within their applications.