Principal Cybersecurity Engineer, Vulnerability Management - Cyber Vulnerability, Conformance & Risk Team at T-Mobile
https://lnkd.in/e6SrvY3i For my Seattle area connections: Build your AI Knowledge Track 1: AI Security Fundamentals AI Threats and Vulnerabilities Covering the potential threats and vulnerabilities associated with AI systems and exploring the various attack vectors, security risks, and potential misuse of AI technologies. Topics may include adversarial attacks, data poisoning, model corruption, and other security concerns related to AI models and systems. AI Security Testing and Validation Exploring the methods and techniques for testing, evaluating and validating the security of AI systems. Topics may include adversarial testing, model vulnerability assessment, and best practices for securing AI systems throughout the development lifecycle. Track 2: AI Security Governance and Controls AI Control Framework Focusing on the development and implementation of control frameworks for AI systems. Topics may include risk assessment, control design, monitoring, and auditing of AI systems to ensure their safe and responsible deployment. AI Organizational Responsibilities & AI Governance Examining the responsibilities and obligations of organizations in the context of AI systems. Topics may include ethical AI practices, accountability, transparency, and governance, risk management, and compliance (GRC) aspects of AI systems and regulatory landscape, legal and ethical considerations, and best practices for ensuring AI systems are developed and deployed in a responsible and compliant manner. Track 3: AI Security Operations and Emerging Trends MLSecOps Focusing on the intersection of machine learning (ML), security, and operations (SecOps). Topics may include secure ML pipelines, model governance, continuous monitoring, and the integration of security practices into the ML lifecycle. AI and Cybersecurity Integration Examining the integration of AI technologies with cybersecurity practices and tools. Topics may include AI-powered threat detection, automated incident response, and the use of AI in enhancing cybersecurity operations. AI Security in Specific Domains Exploring the unique security challenges and considerations of AI systems in specific domains or industries, such as healthcare, finance, transportation, or critical infrastructure. AI Trends & Future Considerations Exploring the latest trends and future considerations in the field of AI. Topics may include emerging AI technologies, research advancements, potential use cases, and the impact of AI on various industries and society as a whole.