CPE | Generative AI Security: Preventing AI from Becoming a Data Breach Multiplier - Seguridad Mania.com - España y América Latina

Earn 1.5 CPE credits on this webinar Generative AI tools are revolutionizing enterprise productivity, but they also introduce a new set of risks that IT GRC leaders must address head-on. Misclassified data, over-permissioned access, and uncontrolled sharing can cause AI systems to surface sensitive information to the wrong people. Without the right guardrails, the benefits of AI can quickly be overshadowed by data exposure, compliance violations, and governance gaps. This session will provide IT GRC leaders with a clear blueprint for balancing innovation with security. Attendees will: 1. Understand the general risks of using generative AI in the enterprise, from data leakage to regulatory compliance challenges. 2. Learn how to discover and classify sensitive data across cloud repositories and collaboration platforms before it’s exposed to AI. 3. See how to apply security and compliance frameworks (GDPR, HIPAA, NIST, etc.) to AI initiatives with sensitivity labels, DLP policies, and access controls. 4. Identify and remediate risky configurations, overexposed identities, and permission drift that AI could exploit. 5. Establish continuous monitoring and anomaly detection to prevent AI from becoming a data breach multiplier. 6. Walk away with actionable strategies and checklists that give them the confidence to securely deploy and govern AI in their organizations. Attendees will leave not only with clarity on where generative AI introduces risk, but also with the practical know-how to ensure their organizations can confidently embrace AI while protecting sensitive data, maintaining compliance, and maximizing secure business value.