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Artificial Intelligence (AI) has made profound impacts across various domains, offering significant advancements and transforming numerous aspects of daily life and industry. As such, the use cases of AI to automate mundane tasks, provide insightful data in many industries, optimize search and advancements in security measures and more are just a few examples. This article specifically describes the exploitation stage of security testing, concentrating on the methods and techniques used to actively exploit vulnerabilities for unauthorized access, information leakage and system compromise in Chatbots that leverage AI.
Use of Artificial Intelligence in Security
AI has significantly transformed security exploitation techniques, making cyber threats more sophisticated and harder to detect. By automating vulnerability discovery, evasion tactics, and exploit development, AI enables attackers to quickly identify and exploit weaknesses in systems. It enhances social engineering through personalized phishing and deepfakes, while also powering adaptive, hard-to-detect attacks such as polymorphic malware and AI-driven botnets. Moreover, AI-driven reconnaissance and advanced attack simulations allow for more precise and impactful cyber operations, highlighting the dual-use nature of AI in both defending and compromising cybersecurity.
Security Testing Process
Security testing is the process of assessing and evaluating the security of an information system, application, or network to identify vulnerabilities, threats, and risks that could potentially be exploited by attackers. The goal of security testing is to ensure that the system's defenses are robust and that any weaknesses are identified and mitigated before they can be exploited. The typical stages of a security testing/assessment follows the following....
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Principal Product Security Engineer, Salesforce, Ashburn, 20148, USA
Senior Product Security Engineer, Dave, San Jose, CA 95051, USA
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