Webinar Description
Key Takeaways
- Explores how agentic AI can autonomously validate and remediate application vulnerabilities during development
- Focuses on payload-based, deterministic testing as a method for bridging AI reasoning with verified security outcomes
- Designed for security engineers, AppSec professionals, DevSecOps teams and IT leaders
- Addresses the challenge of scaling security testing within fast-moving, automated development environments
- Includes live demonstration of Detectify’s agentic AI capabilities and product roadmap
Introduction
Dual-use AppSec: Equipping Humans and Agents with Deterministic Proof is a virtual webinar examining how application security practices can evolve through the integration of human expertise and autonomous AI agents. Hosted by Detectify on 22 September 2026, the 30-minute session targets security engineers, DevSecOps practitioners and technical leaders seeking to understand how deterministic, payload-based testing can strengthen security validation in increasingly automated development pipelines. The topic arrives at a moment when organisations are grappling with how to maintain rigorous security standards while adopting AI-driven tooling across the software development lifecycle.
About This Event
The webinar draws on Detectify’s decade of experience in vulnerability scanning to introduce its agentic AI capabilities. Rather than relying solely on heuristic or signature-based detection, the session emphasises payload-based testing—an approach that executes actual attack payloads against applications to produce deterministic proof of exploitability. This method provides security teams with concrete evidence rather than probabilistic assessments, which becomes particularly valuable when AI agents are tasked with making autonomous decisions about vulnerability remediation.
The event format combines technical explanation with a live demonstration, allowing attendees to observe how these tools function in practice. A product roadmap discussion and live question-and-answer session with Detectify’s technical team round out the programme.
Agentic AI and Autonomous Security Validation
The central premise of the webinar concerns the role of agentic AI in application security workflows. Unlike conventional automation that follows predefined scripts, agentic AI systems can reason about security findings, adjust their testing strategies and initiate remediation steps without continuous human oversight. This capability introduces both efficiency gains and new questions about trust and verification.
Detectify’s approach addresses this trust gap through deterministic proof. When an AI agent identifies a potential vulnerability, payload-based testing confirms whether the issue is genuinely exploitable. This verification layer allows organisations to grant AI agents greater autonomy while maintaining confidence in the accuracy of their actions. The webinar explores specific use cases where this model enables continuous security validation throughout the development cycle.
Scaling Security in Automated Development Environments
Modern software development increasingly relies on automation, from continuous integration pipelines to infrastructure-as-code deployments. Security testing must operate at the same velocity to avoid becoming a bottleneck. Traditional approaches that depend heavily on manual review struggle to keep pace with rapid release cycles, creating gaps between security policy and actual implementation.
The webinar addresses how payload-based testing combined with agentic AI can help organisations scale their application security programmes. By enabling AI agents to autonomously validate findings and, where appropriate, initiate remediation, teams can maintain continuous compliance without proportionally increasing headcount. This model proves particularly relevant for organisations managing large application portfolios or operating in sectors with stringent regulatory requirements.
Who Should Attend
The session is designed for practitioners and decision-makers involved in application security strategy and implementation. Security engineers and AppSec professionals will find value in the technical detail around payload-based testing and agentic workflows. DevSecOps teams can assess how these capabilities might integrate with existing pipelines. Product managers and IT leaders evaluating AI-driven security tooling will gain insight into both current capabilities and the direction of Detectify’s product development.
Organisations already exploring AI and automation within their development processes represent a natural audience, as do enterprises with substantial digital assets seeking to operationalise secure-by-design principles at scale.
Technologies and Tools
The webinar references several components within Detectify’s technology stack, including its dynamic application security testing capabilities, Alfred AI and MCP Server. Detectify’s solutions are available through AWS Marketplace, offering a procurement pathway familiar to organisations already operating within that ecosystem.