What AI can do for API Security -

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Presented by

Ravindra Guntur, Ranaji Krishna

About this talk

Using machine learning for cloud-native application security Join security and DevOps experts as they discuss how TraceAI uses machine learning for cloud-native application security. In this live session we will cover goals for TraceAI: High-level picture of where TraceAI sits with respect to the Traceable platform Representing the attack surface from an ML point of view Metric anomaly detection API call patterns, distributions and rates User behavior and anomaly detection Get hints for what we will do in the future: Trust-Risk-Plausibility
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Traceable identifies all of your APIs, and evaluates your API risk posture, stops API attacks that lead to incidents such as data exfiltration, and provides analytics for threat hunting and forensic research. With our solution, you can confidently discover, manage and secure all of your APIs, quickly deploy, and easily scale to meet the ongoing needs of your organization.