The advent of Agentic AI marks a paradigm shift in how software is built and secured. Unlike traditional AI assistants, Agentic AI operates with autonomous goal-directed behavior, proactively identifying risks, suggesting fixes, and even executing security tasks within the development lifecycle. Andrew Zigler, host of the popular Dev Interrupted podcast, and Checkmarx VP of Portfolio Marketing, Eran Kinsbruner, explore how this next-generation technology is redefining DevSecOps by bridging the gap between rapid innovation and robust security - enabling developers to maintain velocity while significantly reducing vulnerability exposure.

What’s Covered

• Autonomous Vulnerability Management - AI agents continuously scan codebases, prioritize risks, and initiate remediation workflows without human intervention
• Context-Aware Security Guidance - Deep understanding of project architecture and developer intent delivers hyper-relevant recommendations
• Self-Learning Systems - Agents evolve through continuous feedback, adapting to organizational coding patterns and emerging threats
• Frictionless Developer Experience - Security becomes an invisible partner through IDE integrations and natural language interfaces
• Predictive Threat Prevention - Advanced pattern recognition anticipates attack vectors before they're exploited

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