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Introduction Artificial Intelligence (AI) which is part of the constantly evolving landscape of cyber security it is now being utilized by companies to enhance their security. Since threats are becoming more sophisticated, companies tend to turn to AI. AI, which has long been a part of cybersecurity is now being re-imagined as agentic AI, which offers an adaptive, proactive and context aware security. This article delves into the potential for transformational benefits of agentic AI, focusing on the applications it can have in application security (AppSec) and the pioneering idea of automated fix for vulnerabilities. The rise of Agentic AI in Cybersecurity Agentic AI can be used to describe autonomous goal-oriented robots that can discern their surroundings, and take action for the purpose of achieving specific objectives. Agentic AI is distinct in comparison to traditional reactive or rule-based AI in that it can adjust and learn to its environment, and operate in a way that is independent. The autonomy they possess is displayed in AI agents in cybersecurity that are capable of continuously monitoring the networks and spot abnormalities. They are also able to respond in immediately to security threats, with no human intervention. Agentic AI is a huge opportunity for cybersecurity. With the help of machine-learning algorithms as well as huge quantities of information, these smart agents can spot patterns and relationships which human analysts may miss. Intelligent agents are able to sort through the noise of a multitude of security incidents by prioritizing the most important and providing insights that can help in rapid reaction. Agentic AI systems have the ability to grow and develop their abilities to detect security threats and adapting themselves to cybercriminals and their ever-changing tactics. Agentic AI and Application Security Agentic AI is a broad field of application in various areas of cybersecurity, its effect on security for applications is notable. Secure applications are a top priority for businesses that are reliant more and more on interconnected, complicated software technology. The traditional AppSec approaches, such as manual code reviews and periodic vulnerability tests, struggle to keep up with speedy development processes and the ever-growing attack surface of modern applications. Agentic AI can be the solution. Through the integration of intelligent agents in the software development lifecycle (SDLC), organizations are able to transform their AppSec processes from reactive to proactive. Artificial Intelligence-powered agents continuously monitor code repositories, analyzing each code commit for possible vulnerabilities or security weaknesses. They can employ advanced techniques like static code analysis and dynamic testing to identify various issues including simple code mistakes to subtle injection flaws. The thing that sets the agentic AI apart in the AppSec domain is its ability to recognize and adapt to the unique circumstances of each app. Agentic AI can develop an in-depth understanding of application design, data flow and the attack path by developing an exhaustive CPG (code property graph) that is a complex representation that reveals the relationship between code elements. The AI will be able to prioritize security vulnerabilities based on the impact they have on the real world and also the ways they can be exploited, instead of relying solely on a generic severity rating. AI-Powered Automated Fixing: The Power of AI Perhaps the most exciting application of AI that is agentic AI in AppSec is automated vulnerability fix. Humans have historically been in charge of manually looking over codes to determine the vulnerabilities, learn about it and then apply the fix. It can take a long time, can be prone to error and hold up the installation of vital security patches. With agentic AI, the situation is different. AI agents can detect and repair vulnerabilities on their own thanks to CPG's in-depth expertise in the field of codebase. They can analyse all the relevant code to determine its purpose before implementing a solution which fixes the issue while making sure that they do not introduce new security issues. The consequences of AI-powered automated fixing are profound. The time it takes between the moment of identifying a vulnerability and fixing the problem can be significantly reduced, closing the door to criminals. This will relieve the developers group of having to devote countless hours finding security vulnerabilities. They are able to concentrate on creating innovative features. Additionally, by automatizing fixing processes, organisations are able to guarantee a consistent and reliable method of vulnerability remediation, reducing the chance of human error or errors. Challenges and Considerations Although the possibilities of using agentic AI in cybersecurity and AppSec is huge It is crucial to understand the risks and concerns that accompany its implementation. It is important to consider accountability and trust is a crucial one. When Security prioritization become more autonomous and capable taking decisions and making actions by themselves, businesses should establish clear rules and control mechanisms that ensure that AI is operating within the bounds of acceptable behavior. AI follows the guidelines of acceptable behavior. This includes implementing robust tests and validation procedures to ensure the safety and accuracy of AI-generated fix. Another concern is the possibility of adversarial attack against AI. Attackers may try to manipulate information or attack AI model weaknesses as agents of AI models are increasingly used in the field of cyber security. It is imperative to adopt safe AI practices such as adversarial and hardening models. The quality and completeness the diagram of code properties is also an important factor for the successful operation of AppSec's agentic AI. To create and keep an exact CPG the organization will have to acquire tools such as static analysis, test frameworks, as well as pipelines for integration. It is also essential that organizations ensure they ensure that their CPGs remain up-to-date so that they reflect the changes to the codebase and ever-changing threat landscapes. The Future of Agentic AI in Cybersecurity The future of AI-based agentic intelligence in cybersecurity is exceptionally positive, in spite of the numerous obstacles. It is possible to expect advanced and more sophisticated autonomous AI to identify cybersecurity threats, respond to these threats, and limit their effects with unprecedented efficiency and accuracy as AI technology advances. In the realm of AppSec Agentic AI holds the potential to change the way we build and secure software. This will enable businesses to build more durable, resilient, and secure apps. The integration of AI agentics in the cybersecurity environment provides exciting possibilities to collaborate and coordinate security tools and processes. Imagine a scenario where autonomous agents are able to work in tandem across network monitoring, incident response, threat intelligence, and vulnerability management. Sharing insights and taking coordinated actions in order to offer an integrated, proactive defence against cyber attacks. Moving forward in the future, it's crucial for organisations to take on the challenges of autonomous AI, while taking note of the moral implications and social consequences of autonomous technology. It is possible to harness the power of AI agentics to design an unsecure, durable and secure digital future by creating a responsible and ethical culture for AI advancement. Conclusion Agentic AI is a revolutionary advancement within the realm of cybersecurity. It's a revolutionary approach to recognize, avoid, and mitigate cyber threats. With the help of autonomous agents, specifically in the area of application security and automatic fix for vulnerabilities, companies can change their security strategy from reactive to proactive, moving from manual to automated and also from being generic to context conscious. While challenges remain, the advantages of agentic AI are far too important to leave out. When we are pushing the limits of AI in cybersecurity, it is essential to maintain a mindset that is constantly learning, adapting and wise innovations. This way it will allow us to tap into the potential of agentic AI to safeguard our digital assets, safeguard our organizations, and build an improved security future for everyone.