https://www.linkedin.com/posts/qwiet_gartner-appsec-qwietai-activity-7203450652671258625-Nrz0 https://www.forbes.com/sites/adrianbridgwater/2024/06/07/qwiet-ai-widens-developer-flow-channels/ https://www.g2.com/products/qwiet-ai/reviews/qwiet-ai-review-8626743 What is agentic AI, and how does it differ from traditional AI in cybersecurity? is a term used to describe autonomous, goal-oriented, systems that are able to perceive their environment, take decisions, and act to achieve specific goals. Unlike traditional AI, which is often rule-based or reactive, agentic AI systems can learn, adapt, and operate with a degree of independence. Agentic AI is a powerful tool for cybersecurity. It allows continuous monitoring, real time threat detection and proactive response. How can agentic AI enhance application security (AppSec) practices? Agentic AI can revolutionize AppSec practices by integrating intelligent agents into the software development lifecycle (SDLC). These agents can continuously monitor code repositories, analyze commits for vulnerabilities, and leverage advanced techniques like static code analysis, dynamic testing, and machine learning to identify a wide range of security issues. Agentic AI prioritizes vulnerabilities according to their impact in the real world and exploitability. This provides contextually aware insights into remediation. What is a code property graph (CPG), and why is it important for agentic AI in AppSec? A code property graph (CPG) is a rich representation of a codebase that captures relationships between various code elements, such as functions, variables, and data flows. By building a comprehensive CPG, agentic AI can develop a deep understanding of an application's structure, potential attack paths, and security posture. enables the AI to make more accurate and relevant security decisions, prioritize vulnerabilities effectively, and generate targeted fixes. What are the benefits of AI-powered automatic vulnerabilities fixing? AI-powe