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Artificial intelligence (AI) and machine learning (ML) techniques show incredible promise for finding the proverbial needle in the haystack of complex data streams. However, this is not as straightforward for application programming interface (API) security as understanding language or finding cats in a photo. Novel data processing approaches, graph embeddings, and AI techniques are required to detect a new wave of API-based attacks that sometimes span hundreds of different services.


Learn about Traceable’s approach to analytics-driven API security and how it combines innovative approaches for reassembling data flow with unsupervised AI, graph data structures, and sophisticated anomaly detection techniques.