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The following article is an description of the topic: Artificial Intelligence (AI) which is part of the constantly evolving landscape of cyber security is used by companies to enhance their defenses. As security threats grow increasingly complex, security professionals have a tendency to turn towards AI. AI is a long-standing technology that has been part of cybersecurity, is currently being redefined to be agentic AI and offers an adaptive, proactive and context-aware security. This article examines the transformative potential of agentic AI with a focus on its application in the field of application security (AppSec) and the pioneering concept of AI-powered automatic vulnerability fixing. Cybersecurity The rise of artificial intelligence (AI) that is agent-based Agentic AI relates to goals-oriented, autonomous systems that recognize their environment, make decisions, and take actions to achieve specific objectives. Agentic AI differs from conventional reactive or rule-based AI as it can adjust and learn to its surroundings, and operate in a way that is independent. In the context of security, autonomy is translated into AI agents that can constantly monitor networks, spot irregularities and then respond to attacks in real-time without continuous human intervention. The power of AI agentic for cybersecurity is huge. Agents with intelligence are able to identify patterns and correlates using machine learning algorithms and huge amounts of information. They can sift through the noise generated by a multitude of security incidents by prioritizing the most significant and offering information for rapid response. Agentic AI systems can be trained to develop and enhance their capabilities of detecting security threats and adapting themselves to cybercriminals changing strategies. Agentic AI (Agentic AI) and Application Security Agentic AI is an effective instrument that is used in many aspects of cyber security. The impact it has on application-level security is significant. Security of applications is an important concern in organizations that are dependent more and more on highly interconnected and complex software technology. AppSec methods like periodic vulnerability testing as well as manual code reviews do not always keep current with the latest application cycle of development. Agentic AI could be the answer. By integrating intelligent agents into the lifecycle of software development (SDLC), organizations could transform their AppSec practices from reactive to proactive. AI-powered software agents can constantly monitor the code repository and evaluate each change to find possible security vulnerabilities. They may employ advanced methods like static code analysis, test-driven testing and machine-learning to detect a wide range of issues, from common coding mistakes to subtle vulnerabilities in injection. The agentic AI is unique to AppSec as it has the ability to change to the specific context of each app. Agentic AI is capable of developing an in-depth understanding of application structure, data flow and the attack path by developing an extensive CPG (code property graph), a rich representation of the connections among code elements. The AI will be able to prioritize weaknesses based on their effect in real life and the ways they can be exploited in lieu of basing its decision on a generic severity rating. Artificial Intelligence Powers Autonomous Fixing The most intriguing application of AI that is agentic AI within AppSec is automated vulnerability fix. Humans have historically been required to manually review code in order to find the vulnerability, understand it and then apply fixing it. This is a lengthy process as well as error-prone. It often leads to delays in deploying critical security patches. With agentic AI, the game has changed. AI agents can detect and repair vulnerabilities on their own by leveraging CPG's deep knowledge of codebase. These intelligent agents can analyze the code that is causing the issue, understand the intended functionality as well as design a fix which addresses the security issue without introducing new bugs or affecting existing functions. AI-powered automated fixing has profound implications. It could significantly decrease the amount of time that is spent between finding vulnerabilities and its remediation, thus cutting down the opportunity for hackers. This can relieve the development team from having to invest a lot of time fixing security problems. They will be able to work on creating fresh features. In addition, by automatizing fixing processes, organisations are able to guarantee a consistent and reliable process for vulnerability remediation, reducing the risk of human errors and inaccuracy. What are the challenges and issues to be considered? It is important to recognize the dangers and difficulties in the process of implementing AI agents in AppSec and cybersecurity. One key concern is that of confidence and accountability. Organisations need to establish clear guidelines in order to ensure AI is acting within the acceptable parameters since AI agents gain autonomy and can take decision on their own. It is vital to have rigorous testing and validation processes to guarantee the safety and correctness of AI produced corrections. Another concern is the potential for adversarial attacks against AI systems themselves. Attackers may try to manipulate the data, or attack AI models' weaknesses, as agentic AI systems are more common in cyber security. It is essential to employ secured AI techniques like adversarial and hardening models. The completeness and accuracy of the code property diagram can be a significant factor for the successful operation of AppSec's AI. Maintaining and constructing an accurate CPG requires a significant budget for static analysis tools, dynamic testing frameworks, and data integration pipelines. Businesses also must ensure their CPGs reflect the changes that occur in codebases and evolving threats environments. Cybersecurity The future of artificial intelligence The future of autonomous artificial intelligence in cybersecurity is exceptionally promising, despite the many obstacles. As AI technology continues to improve and become more advanced, we could get even more sophisticated and capable autonomous agents that can detect, respond to and counter cyber attacks with incredible speed and precision. Agentic AI built into AppSec will alter the method by which software is designed and developed providing organizations with the ability to create more robust and secure applications. Additionally, the integration of artificial intelligence into the wider cybersecurity ecosystem can open up new possibilities to collaborate and coordinate different security processes and tools. Imagine a future w here autonomous agents collaborate seamlessly through network monitoring, event response, threat intelligence, and vulnerability management, sharing information as well as coordinating their actions to create an all-encompassing, proactive defense from cyberattacks. Moving forward as we move forward, it's essential for organizations to embrace the potential of autonomous AI, while being mindful of the moral and social implications of autonomous technology. We can use the power of AI agentics in order to construct a secure, resilient and secure digital future by creating a responsible and ethical culture that is committed to AI development. Conclusion In today's rapidly changing world of cybersecurity, the advent of agentic AI represents a paradigm transformation in the approach we take to the prevention, detection, and elimination of cyber-related threats. With the help of autonomous agents, particularly in the realm of the security of applications and automatic fix for vulnerabilities, companies can shift their security strategies in a proactive manner, by moving away from manual processes to automated ones, as well as from general to context sensitive. Even though there are challenges to overcome, the advantages of agentic AI are far too important to overlook. When we are pushing the limits of AI in the field of cybersecurity, it's vital to be aware of constant learning, adaption and wise innovations. Then, we can unlock the capabilities of agentic artificial intelligence in order to safeguard companies and digital assets.