Checkmarx CEO, Sandeep Johri, explores the transformative potential of Agentic AI in revolutionizing software development and application security (AppSec). By integrating autonomous, goal-driven AI agents into DevSecOps workflows, teams can automate complex tasks like vulnerability detection, code remediation, and threat modeling with human-like reasoning. This paradigm shift enables proactive risk mitigation, reduces manual toil, and accelerates secure delivery—turning AppSec into a collaborative "game" where AI and developers work together. Checkmarx’s platform demonstrates how Agentic AI combines contextual code analysis, adaptive learning, and actionable feedback to empower developers while hardening security postures.

Key Takeaways

• Autonomous Security Agents: AI agents act as proactive teammates, autonomously scanning, classifying, and suggesting fixes for vulnerabilities in real time.
• Context-Aware Remediation: Goes beyond static rules, using deep code context to prioritize risks and offer tailored fixes without disrupting workflows.
• Adaptive Learning: Continuously improves from developer interactions and new threat data to refine recommendations.
• Collaborative DevSecOps: Bridges Dev and AppSec by providing intuitive, conversational interfaces.
• Future-Ready Defense: Prepares organizations for evolving threats by simulating attacks and auto-patching zero-day risks.

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