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On-demand
Nov 3, 2025
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Securing Data in the GenAI Era: From Governance to Real Risk Reduction

The rise of Generative AI is transforming how organizations create, share, and use data but it's also redefining the boundaries of data risk. Sensitive information is moving faster and further than ever before, introducing new challenges for governance, compliance, and security operations. Join Michael Ferguson, Cyera Principal Data Security Services Architect, for a deep dive into how organizations can stay ahead of these shifts. We will unpack the realities of managing the risks introduced by GenAI adoption, and show how forward-thinking security teams are aligning governance and compliance frameworks with everyday business operations without slowing innovation. We'll also explore how to reduce DLP inefficiencies by cutting through alert noise to reveal the real signals that matter, helping teams make faster, smarter decisions about their most critical data. Equip your organization to embrace innovation securely. Learn how modern data security approaches can turn the challenges of GenAI into opportunities for smarter protection, greater visibility, and lasting trust. What You'll Learn 1. Identify where GenAI amplifies data exposure and how to mitigate those risks 2. Operationalize governance and compliance to fit seamlessly into data security workflows 3. Transform noisy DLP alerts into actionable insights with contextual intelligence
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On-demand
Thought Leadership
Jul 9, 2025
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Descifrando el código: DLP y DSPM como la base de la seguridad de datos moderna

La seguridad de datos moderna exige más que prevención: requiere visibilidad, contexto y velocidad.
Servicios financieros
Atención médica
Manufactura
Retail y viajes
Servicios de tecnología
Garantía de datos de IA
Gobernanza del acceso a datos
Detección y respuesta de datos
Respuesta a incidentes de datos
Prevención de la pérdida de datos
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On-demand
Analyst
Jun 27, 2024
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El Triángulo de Oro: Cómo los datos deben informar los controles

Los datos están en el corazón del triángulo dorado. Entonces, ¿no deberíamos utilizarlos para orientar los controles?
Servicios financieros
Atención médica
Manufactura
Retail y viajes
Garantía de datos de IA
Gobernanza del acceso a datos
Detección y respuesta de datos
Respuesta a incidentes de datos
Privacidad de datos
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Decorative