Watch our short platform overview video to see how Kodem discovers real security risks in your code at runtime. Kodem's runtime-powered application security platform eliminates unnecessary noise, providing a fast, best-in-class accuracy set of findings.
This report aims to equip readers with actionable insights that can help future-proof their security programs.
Kodem, the publisher of this report, purpose built a platform that bridges these gaps by unifying shift-left strategies with runtime monitoring and protection.
Based on qualitative and quantitative responses of industry security leaders, practitioners, developers and DevOps professional
Learn about Runtime Intelligence and our eBPF sensor technolog.
Uncover the dynamic features of the Kodem' sensor technology, powered by our proprietary Runtime Intelligence. See how Kodem provides security analysis across the entire application stack with the innovative use of eBPF.
See How Kodem Secures Your Google Cloud Workloads
Through its integration with Google Cloud, Kodem enables proactive detection, allowing real-time scanning, analysis, and response to threats across your development lifecycle.
Skip the fluff and dive straight into our 4-minute product pitch.
Let's cut through the typical sales talk and show you exactly how our runtime application security platform exposes vulnerabilities across code, containers, and APIs. See how it empowers your team to stop complex attack chains that other tools miss.
Hear a lively discussion with de-FUD podcast hosts @Nancy Wang, Venture Partner, Felicis, and @Ashish Popli, RiskEyeQue as they chat with Aviv Mussinger about cloud security, the right way to shift left... and cake 😀
AI in Security Workflows
James Berthoty and Surag Patel, CEO of Pixee, discuss the role of AI in application security and the challenges of integrating AI into security solutions. Both emphasize the importance of understanding the problem before deciding to use AI and highlight the need for AI to be additive and specific in its application. The conversation also delves into the use of AI in baselining and the considerations for using AI in security workflows.
The Path to MLBOM
James Berthoty interviews Jacob Barkay, a product security architect at Edwards Life Sciences. They discuss the impact of large language models (LLMs) on product security, especially in regulated industries like healthcare. Jacob emphasizes the importance of ensuring the security of LLMs, transparency, and rigorous checks. He highlights the evolving nature of AI security standards and the need for data scientists to understand these risks.
Prompt Injections and Beyond
In this conversation, James Berthoty talks with Elad Shulman, CEO and co-founder of Lasso Security. Elad emphasizes the importance of understanding and mitigating risks associated with GenAI, such as data leaks, manipulation of models, prompt injections and unknown threats. They also touch on how different teams within organizations approach AI security and the evolving use cases for AI in enterprises.
Hacking with AI
Joseph Thacker, Principal AI Engineer at AppOmni, discusses how AI and LLMs can boost creativity in tasks like testing and bug bounties by offering a variety of solutions. To maximize AI's effectiveness, Joseph emphasizes the importance of providing it with extensive context, ensuring the AI tool has a clear understanding of what’s being evaluated. When applying AI to active web applications, he highlights the need for a decision-making core that can effectively process key elements such as the host, path, and other contextual information. This deeper understanding enables AI to make more accurate and informed assessments, enhancing its overall performance in cybersecurity tasks.
