https://www.lastwatchdog.com/rsac-fireside-chat-qwiet-ai-leverages-graph-database-technology-to-reduce-appsec-noise/ https://sites.google.com/view/howtouseaiinapplicationsd8e/ai-in-application-security https://www.linkedin.com/posts/qwiet_qwiet-ai-webinar-series-ai-autofix-the-activity-7202016247830491136-ax4v https://go.qwiet.ai/multi-ai-agent-webinar https://en.wikipedia.org/wiki/Machine_learning https://www.forbes.com/sites/adrianbridgwater/2024/06/07/qwiet-ai-widens-developer-flow-channels/ Introduction Artificial intelligence (AI) as part of the continually evolving field of cyber security it is now being utilized by companies to enhance their defenses. As security threats grow more sophisticated, companies tend to turn towards AI. was a staple of cybersecurity for a long time. been a part of cybersecurity is being reinvented into agentsic AI that provides an adaptive, proactive and context aware security. The article explores the possibility of agentic AI to improve security and focuses on application that make use of AppSec and AI-powered automated vulnerability fixing. The rise of Agentic AI in Cybersecurity Agentic AI refers to intelligent, goal-oriented and autonomous systems that understand their environment as well as make choices and then take action to meet certain goals. Contrary to conventional rule-based, reactive AI, agentic AI machines are able to evolve, learn, and work with a degree that is independent. In the context of cybersecurity, that autonomy transforms into AI agents that are able to continually monitor networks, identify anomalies, and respond to dangers in real time, without continuous human intervention. of agentic AI in cybersecurity is enormous. Intelligent agents are able to detect patterns and connect them with machine-learning algorithms as well as large quantities of data. They are able to discern the chaos of many security incidents, focusing on the most crucial incidents, and providing actionable insights for rapid interventio