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Guest 27 19th Mar, 2025

https://onealhoffmann15.livejournal.com/profile Introduction In the constantly evolving world of cybersecurity, as threats become more sophisticated each day, companies are relying on AI (AI) to strengthen their defenses. Although AI is a component of cybersecurity tools for a while however, the rise of agentic AI will usher in a fresh era of active, adaptable, and contextually-aware security tools. The article explores the potential for the use of agentic AI to improve security and focuses on application that make use of AppSec and AI-powered automated vulnerability fixes. The rise of Agentic AI in Cybersecurity Agentic AI is the term applied to autonomous, goal-oriented robots which are able detect their environment, take the right decisions, and execute actions to achieve specific goals. Agentic AI is different in comparison to traditional reactive or rule-based AI because it is able to adjust and learn to changes in its environment and also operate on its own. The autonomous nature of AI is reflected in AI agents for cybersecurity who are able to continuously monitor systems and identify abnormalities. They also can respond real-time to threats with no human intervention. Agentic AI has immense potential in the area of cybersecurity. With the help of machine-learning algorithms and huge amounts of information, these smart agents can detect patterns and relationships that analysts would miss. They can sift through the noise generated by many security events by prioritizing the most significant and offering information that can help in rapid reaction. Furthermore, agentsic AI systems can be taught from each encounter, enhancing their detection of threats and adapting to constantly changing techniques employed by cybercriminals. Agentic AI (Agentic AI) and Application Security Agentic AI is a broad field of applications across various aspects of cybersecurity, its influence on security for applications is important. Since organizations are increasingly dependent on
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