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IM Application Security in the LLM Era

This course teaches a systematic approach to IM application security, from reverse engineering to vulnerability research of real-world applications.
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Cutting-edge security research

We test systems from all angles and focus our efforts on bringing results where few others can.

Reverse engineering of complex systems and algorithms

Advanced vulnerability research in browser, kernel, baseband and Instant Messaging applications

Advanced reverse engineering and vulnerability research training in all the areas listed in the services

Models built by researchers, for researchers

We built our own AI platform to give our researchers capability that off-the-shelf tools simply cannot provide. Trained on proprietary datasets that exist nowhere else, designed for our domain from the ground up.

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Custom neural networks trained on proprietary security research datasets
GPU-native training pipelines with rapid iteration on every engagement
Continuous model improvement — every project compounds model performance

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Internals
Post-Training ML Flows for Vulnerability Mitigation
Off-the-shelf LLMs fail at the tasks that matter in vulnerability research. Post-training is where that gap gets closed: data pipelines, QLoRA configurations, validation loops, preference optimization, and the evaluation discipline...

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