Isao Takaesu
Cyber Security Engineer, Senior Engineer at Mitsui Bussan Secure Directions, Inc.
Tokyo, Japan
Summary
🤩
Rockstar🎓
Top SchoolIsao Takaesu is a senior cyber security engineer and CISSP based in Tokyo with 11+ years protecting enterprise systems and advising on vulnerabilities across firms like Mitsui Bussan Secure Directions and SECOM. He combines hands-on red-team style research with machine learning expertise—authoring code for ML security tasks such as CNN-based face authentication—and focuses on attacking and defending AI as both a practitioner and trainer. A frequent speaker at Black Hat Arsenal, DEFCON, CODE BLUE and regional AI/DevSec events, he translates cutting-edge research into practical vulnerability assessments and R&D. His background as a project leader and programmer gives him broad systems perspective, enabling him to bridge deep technical research and operational security outcomes.
11 years of coding experience
11 years of employment as a software developer
Master's degree, Information Technology, Master's degree, Information Technology at 琉球大学
Japanese
Github Skills (8)
mask-rcnn10
keras10
computer-vision10
faster-rcnn10
machine-learning10
python10
image-processing10
face-recognition10
Programming languages (2)
Github contributions (5)
13o-bbr-bbq/machine_learning_security
May 2017 - May 2021
Source code about machine learning and security.
Role in this project:
ML Engineer
ML EngineerContributions:806 commits, 2 PRs, 750 pushes in 4 years 1 month
Contributions summary:Isao implemented and fine-tuned a CNN model for face authentication, demonstrating proficiency in deep learning techniques for computer vision tasks. They developed code for image pre-processing, including resizing and converting images to the correct tensor format for the model. Furthermore, the user implemented a testing framework to evaluate the model.
securitymachine-learning
13o-bbr-bbq/Broken_LLM_Integration_App
Apr 2024 - Jan 2025
This is the LLM integration app that contains the vulnerability; please use it to verify the vulnerability of the LLM integration app.
Contributions:11 releases, 34 PRs, 28 pushes in 10 months
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