Why API Security Is A Killer Use Case For ML and AI

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Presented by

Ravi Guntur and Dana Gardner

About this talk

API security is an incredibly challenging domain where enormous amounts of data often hide bad actors and hackers who are on the attack. While machine learning (ML) and artificial intelligence (AI) for IT security are not new, API security can clearly benefit from well designed and implemented ML/AI models. Given the reality that digital businesses are constantly expanding the universe of interdependent APIs, solving API security is critical. Please join us as Dana Gardner, Principal Analyst at Interarbor Solutions, and Ravi Guntur, Head of ML and AI at Traceable AI, discuss how ML and AI are the next best security solution for APIs, making them secure and more resilient than ever across their life cycles and ecosystems.

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Traceable enables security to keep up with engineering and the continuous pace of change and protect modern applications from modern threats. Traceable applies the power of machine learning and distributed tracing to understand the DNA of your APIs, how they are changing, and where there are anomalies in order to detect and block threats, making businesses more secure and resilient.