High level course explanation
Suddenly anyone and everyone in your organization can use AI assistants to write code. Meanwhile, your actual developers are putting out 100x their previous output , with “varying” levels of quality. So how are you going to secure code at this scale?
This course is designed to be a deep dive into state-of-the-art techniques for validating code security within an organization’s codebase. The course has a strong emphasis on how AI-driven analysis can drive this forward whilst also clearly highlighting where standard, deterministic techniques (albeit incorporating AI acceleration) will be more effective.
During the course, you will learn how to combine these techniques, in a scalable and repeatable way, based on our experience doing just this with real organizations and real teams and with a focus on the current state of the art in this fast-moving area.
This course goes beyond the scope of standard application security knowledge and is designed to make you a specialist in this area. Having spent several years perfecting this process, we are excited to impart the lessons we have learnt!
At each stage you will get hands-on experience actively writing both customized deterministic and AI powered rules to address common code security challenges, simulated through gradually more complicated exercises.
Our focus will be on techniques rather than specific tools wherever possible in order to keep things future-proof and principles-based.
Be ready to leave this course with end-to-end knowledge (and a full toolbox) that allows you to proactively detect and prevent code vulnerabilities across multiple code repositories, without slowing down your development velocity.
There is also a version of this course which is exclusive to Black Hat called “Achieving Scalable Code Security Scanning through AI Acceleration”.
You can see more details about what the course covers on the Course Content page.
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