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The following is a brief description of the topic: In the rapidly changing world of cybersecurity, as threats become more sophisticated each day, companies are turning to Artificial Intelligence (AI) to bolster their defenses. AI has for years been part of cybersecurity, is now being transformed into agentsic AI that provides active, adaptable and context aware security. This article examines the possibilities for agentic AI to improve security and focuses on uses to AppSec and AI-powered automated vulnerability fix. Cybersecurity: The rise of agentic AI Agentic AI relates to intelligent, goal-oriented and autonomous systems that are able to perceive their surroundings to make decisions and then take action to meet particular goals. Agentic AI differs from the traditional rule-based or reactive 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 working in cybersecurity. They are capable of continuously monitoring networks and detect anomalies. They also can respond with speed and accuracy to attacks without human interference. Agentic AI holds enormous potential in the cybersecurity field. Agents with intelligence are able discern patterns and correlations with machine-learning algorithms as well as large quantities of data. The intelligent AI systems can cut through the chaos generated by a multitude of security incidents by prioritizing the essential and offering insights for rapid response. Additionally, AI agents can gain knowledge from every incident, improving their ability to recognize threats, and adapting to constantly changing strategies of cybercriminals. Agentic AI (Agentic AI) and Application Security Agentic AI is a broad field of application across a variety of aspects of cybersecurity, its effect in the area of application security is important. Securing applications is a priority for businesses that are reliant increasingly on interconnected, complicated software platforms. AppSec methods like periodic vulnerability scanning and manual code review can often not keep up with current application cycle of development. Agentic AI can be the solution. Integrating intelligent agents in software development lifecycle (SDLC) companies can transform their AppSec practices from reactive to proactive. The AI-powered agents will continuously check code repositories, and examine every code change for vulnerability or security weaknesses. https://www.cyberdefensemagazine.com/innovator-spotlight-qwiet/ may employ advanced methods such as static analysis of code, automated testing, and machine-learning to detect numerous issues including common mistakes in coding to little-known injection flaws. What sets agentsic AI distinct from other AIs in the AppSec field is its capability to recognize and adapt to the unique context of each application. With the help of a thorough code property graph (CPG) – – a thorough representation of the source code that shows the relationships among various components of code – agentsic AI can develop a deep comprehension of an application's structure as well as data flow patterns and potential attack paths. The AI is able to rank security vulnerabilities based on the impact they have in the real world, and ways to exploit them in lieu of basing its decision on a standard severity score. The power of AI-powered Autonomous Fixing Automatedly fixing security vulnerabilities could be the most interesting application of AI agent within AppSec. In the past, when a security flaw has been discovered, it falls on the human developer to look over the code, determine the flaw, and then apply the corrective measures. It can take a long period of time, and be prone to errors. It can also hold up the installation of vital security patches. Agentic AI is a game changer. game has changed. AI agents are able to detect and repair vulnerabilities on their own through the use of CPG's vast understanding of the codebase. https://go.qwiet.ai/multi-ai-agent-webinar that are intelligent can look over the source code of the flaw as well as understand the functionality intended, and craft a fix that fixes the security flaw without creating new bugs or damaging existing functionality. The AI-powered automatic fixing process has significant implications. It is estimated that the time between the moment of identifying a vulnerability and the resolution of the issue could be significantly reduced, closing the door to the attackers. This will relieve the developers group of having to spend countless hours on solving security issues. Instead, they can concentrate on creating new features. Additionally, by automatizing fixing processes, organisations are able to guarantee a consistent and reliable method of fixing vulnerabilities, thus reducing the risk of human errors or inaccuracy. The Challenges and the Considerations It is crucial to be aware of the potential risks and challenges associated with the use of AI agentics in AppSec and cybersecurity. Accountability as well as trust is an important one. Companies must establish clear guidelines for ensuring that AI operates within acceptable limits since AI agents gain autonomy and become capable of taking independent decisions. It is important to implement reliable testing and validation methods in order to ensure the properness and safety of AI created fixes. A second challenge is the risk of an the possibility of an adversarial attack on AI. Since agent-based AI technology becomes more common in cybersecurity, attackers may attempt to take advantage of weaknesses within the AI models or modify the data from which they're trained. It is crucial to implement security-conscious AI methods such as adversarial learning as well as model hardening. Quality and comprehensiveness of the CPG's code property diagram is a key element for the successful operation of AppSec's agentic AI. Building and maintaining an precise CPG involves a large spending on static analysis tools such as dynamic testing frameworks and data integration pipelines. Businesses also must ensure their CPGs keep up with the constant changes that take place in their codebases, as well as evolving security landscapes. The Future of Agentic AI in Cybersecurity The potential of artificial intelligence in cybersecurity is extremely positive, in spite of the numerous obstacles. The future will be even more capable and sophisticated autonomous AI to identify cybersecurity threats, respond to them, and minimize the damage they cause with incredible speed and precision as AI technology develops. Agentic AI within AppSec will revolutionize the way that software is created and secured and gives organizations the chance to create more robust and secure applications. The incorporation of AI agents within the cybersecurity system can provide exciting opportunities to coordinate and collaborate between cybersecurity processes and software. Imagine a scenario where the agents are autonomous and work on network monitoring and responses as well as threats information and vulnerability monitoring. They would share insights as well as coordinate their actions and provide proactive cyber defense. As we move forward we must encourage businesses to be open to the possibilities of agentic AI while also taking note of the moral and social implications of autonomous technology. The power of AI agentics to create a secure, resilient and secure digital future by encouraging a sustainable culture to support AI advancement. The conclusion of the article will be: Agentic AI is a significant advancement in the field of cybersecurity. It's an entirely new model for how we discover, detect attacks from cyberspace, as well as mitigate them. The capabilities of an autonomous agent, especially in the area of automated vulnerability fix and application security, could aid organizations to improve their security practices, shifting from a reactive to a proactive one, automating processes and going from generic to contextually aware. Even though there are challenges to overcome, the advantages of agentic AI are far too important to ignore. As https://sites.google.com/view/howtouseaiinapplicationsd8e/ai-powered-application-security continue pushing the boundaries of AI in the field of cybersecurity It is crucial to adopt an eye towards continuous development, adaption, and responsible innovation. It is then possible to unleash the power of artificial intelligence for protecting businesses and assets.