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Introduction In the ever-evolving landscape of cybersecurity, where threats get more sophisticated day by day, companies are relying on artificial intelligence (AI) to enhance their security. AI is a long-standing technology that has been a part of cybersecurity is now being transformed into agentsic AI, which offers an adaptive, proactive and contextually aware security. The article explores the potential for the use of agentic AI to change the way security is conducted, with a focus on the application to AppSec and AI-powered automated vulnerability fixing. Cybersecurity: The rise of Agentic AI Agentic AI can be that refers to autonomous, goal-oriented robots able to discern their surroundings, and take the right decisions, and execute actions for the purpose of achieving specific goals. Agentic AI differs from conventional reactive or rule-based AI in that it can learn and adapt to its environment, and also operate on its own. The autonomy they possess is displayed in AI agents working in cybersecurity. They are capable of continuously monitoring networks and detect abnormalities. They can also respond instantly to any threat without human interference. The potential of agentic AI in cybersecurity is immense. These intelligent agents are able to detect patterns and connect them by leveraging machine-learning algorithms, and large amounts of data. They can sort through the noise of countless security events, prioritizing the most critical incidents and provide actionable information for swift reaction. Additionally, AI agents can gain knowledge from every incident, improving their ability to recognize threats, and adapting to constantly changing methods used by cybercriminals. Agentic AI as well as Application Security Agentic AI is a powerful tool that can be used to enhance many aspects of cybersecurity. But, the impact it can have on the security of applications is notable. ai security tools of apps is paramount for companies that depend ever more heavily on complex, interconnected software platforms. Traditional AppSec methods, like manual code review and regular vulnerability scans, often struggle to keep up with the rapidly-growing development cycle and threat surface that modern software applications. Agentic AI is the new frontier. By integrating intelligent agents into the lifecycle of software development (SDLC) companies can change their AppSec processes from reactive to proactive. AI-powered software agents can continuously monitor code repositories and examine each commit in order to spot possible security vulnerabilities. They can leverage advanced techniques including static code analysis test-driven testing and machine learning, to spot numerous issues that range from simple coding errors to little-known injection flaws. Intelligent AI is unique to AppSec due to its ability to adjust and learn about the context for every app. Agentic AI has the ability to create an understanding of the application's design, data flow and the attack path by developing the complete CPG (code property graph), a rich representation that shows the interrelations among code elements. The AI is able to rank weaknesses based on their effect in the real world, and ways to exploit them in lieu of basing its decision upon a universal severity rating. Artificial Intelligence Powers Intelligent Fixing The concept of automatically fixing weaknesses is possibly the most interesting application of AI agent technology in AppSec. Human programmers have been traditionally in charge of manually looking over the code to identify the flaw, analyze the problem, and finally implement the fix. It can take a long time, can be prone to error and hinder the release of crucial security patches. It's a new game with agentsic AI. Through the use of the in-depth knowledge of the base code provided by CPG, AI agents can not only detect vulnerabilities, however, they can also create context-aware not-breaking solutions automatically. The intelligent agents will analyze all the relevant code as well as understand the functionality intended, and craft a fix that corrects the security vulnerability without introducing new bugs or breaking existing features. AI-powered, automated fixation has huge effects. The amount of time between the moment of identifying a vulnerability before addressing the issue will be reduced significantly, closing the possibility of the attackers. This will relieve the developers team from having to devote countless hours fixing security problems. Instead, they could be able to concentrate on the development of fresh features. In addition, by automatizing the process of fixing, companies can ensure a consistent and reliable process for fixing vulnerabilities, thus reducing the risk of human errors or inaccuracy. What are the obstacles and issues to be considered? It is essential to understand the threats and risks that accompany the adoption of AI agents in AppSec and cybersecurity. The most important concern is the question of the trust factor and accountability. When AI agents become more independent and are capable of acting and making decisions independently, companies need to establish clear guidelines and monitoring mechanisms to make sure that the AI performs within the limits of acceptable behavior. This means implementing rigorous verification and testing procedures that check the validity and reliability of AI-generated changes. Another issue is the risk of an attacks that are adversarial to AI. An attacker could try manipulating information or make use of AI models' weaknesses, as agents of AI platforms are becoming more prevalent for cyber security. This is why it's important to have secure AI methods of development, which include methods such as adversarial-based training and the hardening of models. The effectiveness of agentic AI used in AppSec is dependent upon the quality and completeness of the graph for property code. To build and maintain an accurate CPG the organization will have to acquire devices like static analysis, testing frameworks and pipelines for integration. Companies also have to make sure that their CPGs correspond to the modifications that take place in their codebases, as well as the changing security areas. The future of Agentic AI in Cybersecurity The potential of artificial intelligence in cybersecurity appears optimistic, despite its many problems. It is possible to expect advanced and more sophisticated self-aware agents to spot cyber security threats, react to these threats, and limit their effects with unprecedented accuracy and speed as AI technology continues to progress. Agentic AI inside AppSec has the ability to transform the way software is created and secured providing organizations with the ability to develop more durable and secure applications. In addition, the integration of artificial intelligence into the cybersecurity landscape opens up exciting possibilities in collaboration and coordination among diverse security processes and tools. Imagine a world where autonomous agents operate seamlessly throughout network monitoring, incident response, threat intelligence, and vulnerability management. Sharing insights and coordinating actions to provide an integrated, proactive defence against cyber-attacks. In the future as we move forward, it's essential for companies to recognize the benefits of agentic AI while also being mindful of the moral implications and social consequences of autonomous systems. It is possible to harness the power of AI agentics in order to construct a secure, resilient as well as reliable digital future by creating a responsible and ethical culture in AI creation. Conclusion In the fast-changing world of cybersecurity, agentic AI represents a paradigm shift in how we approach the identification, prevention and mitigation of cyber security threats. With the help of autonomous agents, particularly in the area of app security, and automated vulnerability fixing, organizations can transform their security posture from reactive to proactive, from manual to automated, as well as from general to context aware. Agentic AI faces many obstacles, yet the rewards are too great to ignore. As we continue pushing the boundaries of AI in the field of cybersecurity, it is essential to take this technology into consideration with a mindset of continuous development, adaption, and innovative thinking. We can then unlock the capabilities of agentic artificial intelligence for protecting businesses and assets.