<ul><li>Threats to personal data in the AI era go beyond traditional data leakage to include the exposure of environment and surroundings through AI embedded systems like cameras, smartphones, and search engines.</li><li>As AI systems gain autonomy, the line between assistance and surveillance blurs, highlighting the importance of cybersecurity not only for data protection but also for safeguarding autonomy and privacy in an AI-driven world.</li><li>The increasing use of AI and ML algorithms in products poses challenges for cybersecurity, making it difficult to ensure security against economic motivations of individuals or groups seeking illicit data acquisition for financial gain.</li><li>Current cybersecurity tools and solutions include Managed Detection and Response (MDR) Services, Zero Trust Security Framework, and Cloud Security Posture Management (CSPM) to address evolving threats in the digital landscape.</li></ul>

Cyber Security in AI Era

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