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Introduction Artificial Intelligence (AI) which is part of the ever-changing landscape of cyber security is used by businesses to improve their defenses. As the threats get more sophisticated, companies tend to turn towards AI. While AI has been part of cybersecurity tools since a long time and has been around for a while, the advent of agentsic AI will usher in a new era in innovative, adaptable and contextually sensitive security solutions. The article explores the possibility for the use of agentic AI to change the way security is conducted, specifically focusing on the applications to AppSec and AI-powered automated vulnerability fixes. The rise of Agentic AI in Cybersecurity Agentic AI is a term used to describe autonomous, goal-oriented systems that are able to perceive their surroundings take decisions, decide, and implement actions in order to reach particular goals. Contrary to conventional rule-based, reactive AI, agentic AI systems are able to adapt and learn and function with a certain degree of detachment. For cybersecurity, this autonomy is translated into AI agents that continuously monitor networks, detect abnormalities, and react to security threats immediately, with no continuous human intervention. https://sites.google.com/view/howtouseaiinapplicationsd8e/can-ai-write-secure-code of agentic AI in cybersecurity is enormous. Agents with intelligence are able discern patterns and correlations by leveraging machine-learning algorithms, as well as large quantities of data. The intelligent AI systems can cut out the noise created by several security-related incidents by prioritizing the most significant and offering information to help with rapid responses. Agentic AI systems have the ability to develop and enhance their ability to recognize threats, as well as responding to cyber criminals constantly changing tactics. https://www.cyberdefensemagazine.com/innovator-spotlight-qwiet/ and Application Security Agentic AI is an effective device that can be utilized in many aspects of cybersecurity. But, the impact its application-level security is notable. Security of applications is an important concern for businesses that are reliant increasingly on highly interconnected and complex software technology. Standard AppSec approaches, such as manual code review and regular vulnerability tests, struggle to keep up with the speedy development processes and the ever-growing vulnerability of today's applications. In the realm of agentic AI, you can enter. By integrating intelligent agent into the Software Development Lifecycle (SDLC), organisations can transform their AppSec approach from reactive to pro-active. These AI-powered systems can constantly look over code repositories to analyze every code change for vulnerability or security weaknesses. The agents employ sophisticated techniques like static code analysis as well as dynamic testing to identify various issues that range from simple code errors to invisible injection flaws. AI is a unique feature of AppSec because it can be used to understand the context AI is unique in AppSec as it has the ability to change and learn about the context for each application. Agentic AI is capable of developing an intimate understanding of app structure, data flow, as well as attack routes by creating a comprehensive CPG (code property graph), a rich representation that reveals the relationship between various code components. The AI is able to rank vulnerability based upon their severity in real life and the ways they can be exploited, instead of relying solely on a standard severity score. Artificial Intelligence-powered Automatic Fixing A.I.-Powered Autofixing: The Power of AI The idea of automating the fix for weaknesses is possibly one of the greatest applications for AI agent AppSec. Humans have historically been required to manually review code in order to find the vulnerability, understand it and then apply the solution. It can take a long time, be error-prone and hinder the release of crucial security patches. The rules have changed thanks to agentic AI. AI agents can discover and address vulnerabilities through the use of CPG's vast expertise in the field of codebase. They can analyze all the relevant code to understand its intended function and then craft a solution which corrects the flaw, while not introducing any additional bugs. AI-powered automated fixing has profound implications. agentic ai platform security is estimated that the time between identifying a security vulnerability and the resolution of the issue could be significantly reduced, closing the possibility of attackers. This can relieve the development group of having to devote countless hours solving security issues. The team could concentrate on creating new capabilities. Automating the process of fixing weaknesses helps organizations make sure they're using a reliable and consistent approach which decreases the chances for human error and oversight. What are the challenges and considerations? Though the scope of agentsic AI for cybersecurity and AppSec is enormous but it is important to acknowledge the challenges and concerns that accompany its use. Accountability as well as trust is an important issue. When AI agents grow more independent and are capable of acting and making decisions by themselves, businesses need to establish clear guidelines as well as oversight systems to make sure that the AI operates within the bounds of acceptable behavior. It is essential to establish robust testing and validating processes to ensure properness and safety of AI created corrections. Another concern is the possibility of attacking AI in an adversarial manner. The attackers may attempt to alter information or take advantage of AI model weaknesses since agents of AI platforms are becoming more prevalent in the field of cyber security. It is essential to employ secure AI methods such as adversarial-learning and model hardening. In addition, the efficiency of the agentic AI for agentic AI in AppSec relies heavily on the completeness and accuracy of the graph for property code. In order to build and maintain an exact CPG the organization will have to invest in techniques like static analysis, testing frameworks, and pipelines for integration. Organizations must also ensure that they are ensuring that their CPGs reflect the changes that take place in their codebases, as well as changing security environment. Cybersecurity Future of artificial intelligence However, despite the hurdles however, the future of AI in cybersecurity looks incredibly hopeful. As AI advances it is possible to be able to see more advanced and capable autonomous agents that can detect, respond to and counter cyber attacks with incredible speed and precision. Agentic AI in AppSec has the ability to change the ways software is built and secured providing organizations with the ability to develop more durable and secure software. The introduction of AI agentics in the cybersecurity environment can provide exciting opportunities for collaboration and coordination between cybersecurity processes and software. Imagine a world in which agents are self-sufficient and operate across network monitoring and incident response as well as threat information and vulnerability monitoring. They'd share knowledge as well as coordinate their actions and give proactive cyber security. As we move forward we must encourage businesses to be open to the possibilities of artificial intelligence while paying attention to the moral and social implications of autonomous systems. You can harness the potential of AI agents to build security, resilience digital world by creating a responsible and ethical culture for AI creation. The article's conclusion is: Agentic AI is a significant advancement in the world of cybersecurity. It is a brand new model for how we discover, detect, and mitigate cyber threats. Agentic AI's capabilities particularly in the field of automatic vulnerability fix and application security, may enable organizations to transform their security posture, moving from a reactive approach to a proactive security approach by automating processes and going from generic to context-aware. Even though there are challenges to overcome, the benefits that could be gained from agentic AI can't be ignored. overlook. When we are pushing the limits of AI in cybersecurity, it is crucial to remain in a state of continuous learning, adaptation of responsible and innovative ideas. Then, we can unlock the full potential of AI agentic intelligence to secure the digital assets of organizations and their owners.