Traceable.ai tackles API security challenges with a robust end-to-end protection strategy, to handle the complexities introduced by new technologies like Generative AI (GenAI). In this show, Sanjay Nagraj, Co-Founder & CEO, Traceable.ai, discusses the company’s focuses, the opportunities and challenges of GenAI, the state of awareness around API security, and the company’s future plans. He says, “We basically evolved the product to support GenAI APIs as well to discover, test and protect and enable security analytics on top of the data.”

How Traceable.ai is addressing the visibility and protection challenges of APIs

• Nagraj discusses the origins of Traceable.ai saying that they initially focused on addressing the visibility and protection challenges associated with the growing use of microservices and APIs.
• Nagraj discusses Traceable.ai’s growth over the past five years, highlighting the company’s significant revenue increase, recent funding from City Ventures, growing customer base, and enhanced product offerings.

The transformative impact of GenAI and challenges of securing GenAI applications.

• Nagraj reflects on the transformative impact of GenAI and language models across various industries, emphasizing the need for enhanced security measures due to new vulnerabilities.
• Traceable.ai’s announcements include new modules for GenAI protection, advancements in fraud detection, and the launch of Aspen Labs for security research.

• Nagraj discusses the challenges of discovering and securing GenAI applications, emphasizing the need for robust security measures due to new vulnerabilities. He highlights Traceable.ai’s innovations.
• Nagraj reflects on how AI and language models are transforming industries and the anticipated impact on security applications.

How the awareness of API security has shifted

• Nagraj notes a significant shift in API security education over the past 18 months, with a growing focus on not just discovering but also protecting APIs.
• While awareness of API security has increased, traditional technologies are insufficient, making innovative solutions like Traceable.ai essential for effective protection against sophisticated API attacks.

The dual-edged nature of GenAI and Traceable.ai’s future key focuses

• Nagraj explores GenAI’s dual-edged impact on security, emphasizing how it can both enhance security measures and introduce complexities.
• Nagraj highlights Gen AI’s role in enabling more sophisticated API attacks and increasing vulnerabilities in the development lifecycle due to insufficient secure coding practices.
• Traceable.ai plans to expand into new regions while focusing on customer success and investing in sales, marketing, and R&D to support this growth.

Guest: Sanjay Nagraj (LinkedIn)
Company: Traceable (Twitter)
Show: Let’s Talk About AI

This summary was written by Emily Nicholls.