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Recommended Event: CyberRisk Appliance: Identiverse - Las Vegas, Nevada, June 15-18, 2026

Recommended Event: CyberRisk Appliance: Identiverse - Las Vegas, Nevada, June 15-18, 2026

The Agentic Shift in Automated Security Testing

Type Webinar
Organization Ostorlab

Webinar Description

Key Takeaways

  • Explores the evolution of security testing automation from legacy tools to intelligent agentic systems
  • Demonstrates AI-driven vulnerability detection and remediation
  • Showcases real-world findings and advanced exploitation chains
  • Analyzes open-source AI models for vulnerability detection
  • Highlights improvements in speed, accuracy, and efficiency of security testing

The landscape of security testing automation is undergoing a significant transformation. This event provides an in-depth look at how intelligent agentic systems are redefining the way vulnerabilities are detected and addressed in modern software environments.

The Shift from Legacy Tools to Intelligent Systems

Traditional security testing relied heavily on static and dynamic analysis tools, often limited by fixed rules and manual oversight. The new generation of automation leverages AI reasoning and adaptive agentic engines, enabling systems to think, adapt, and adjust autonomously.

These advancements allow for the detection of complex vulnerabilities, including logic bugs and intricate exploitation chains, which were previously difficult to identify using conventional methods.

Demonstrating Advanced Vulnerability Detection

The webinar features live demonstrations of agentic security systems in action. Attendees will observe how these systems move beyond simply identifying potential bugs, providing confirmation of exploitable vulnerabilities and enabling rapid remediation.

By generating fixes or temporary patches and deploying them automatically, organizations can now preempt exploitation within minutes, significantly reducing response times compared to traditional approaches.

Insights into Open-Source AI Models

The session also includes an analysis of open-source AI models used for vulnerability detection. The discussion covers their effectiveness in real-world scenarios and how they contribute to cost-efficient and reliable security solutions.

Participants will gain a clear understanding of how these innovations are accelerating security testing processes and enhancing overall protection for modern applications.