In this episode, we talk to Ken Johnson, Co-Founder & CTO @ DryRun Security. Ken discusses the evolution of application security, focusing on the role of AI and LLMs in enhancing security practices.
He emphasizes the importance of context engineering over traditional prompt engineering, the challenges of consistency and repeatability in LLM outputs, and the ethical considerations surrounding AI in security. The discussion also highlights the need for orchestration in AI applications and the future potential of AI in the security landscape.
Key Takeaways
DryRun Security utilizes AI to enhance code security.
Context engineering is crucial for effective AI applications.
LLMs can augment security practices but require careful orchestration.
Consistency in LLM outputs is a significant challenge.
Ethical considerations in AI are becoming increasingly important.
Finding the right balance in using LLMs is essential.
Community collaboration is vital for advancing AI solutions.
Orchestration is a key factor in AI performance.
AI will not replace jobs but will change how we work.
Tune in to find out more!
Connect with Ken:
LinkedIn: cktricky
DryRun Security: https://www.dryrun.security/
Connect with Anshuman:
LinkedIn: anshumanbhartiya
X: https://x.com/anshuman_bh
Website: https://anshumanbhartiya.com/
Instagram: anshuman.bhartiya
Connect with Sandesh:
LinkedIn: anandsandesh
X: https://x.com/JubbaOnJeans
