You've seen the news and heard about the real-world challenges data security presents. With increasing data breaches and evolving threats, including those amplified by AI, it's clear that securing your data has never been more critical.
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Join us for Data Loss Prevention Day – a half-day event meticulously designed to equip existing Salesforce customers like you with a robust data loss prevention (DLP) strategy.
This event will provide an eye-opening look at the evolving threat landscape, exploring how to strengthen your security posture, detect risks in real-time, and ensure effective incident response. You'll gain actionable insights and strategies to protect your data, especially considering the rapid pace of AI innovation. Understand how Salesforce security solutions fit seamlessly with your broader security strategy, empowering you to move ahead confidently and securely.
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Who Should Attend? This event is tailored for senior stakeholders responsible for data security, as well as for their teams who would be implementing these solutions.
In this session, we’ll cover our products using a "Locks, Alarms, and Cameras" analogy:
- Keynote featuring special guest Sue Turner OBE: Practical AI Governance for the Responsible CIO
- Locks: Strengthening your security with data classification and Salesforce Security Center.
- Alarms: Flagging new risks with threat detection and transaction security policies from Shield: Event Monitoring.
- Cameras: Enabling investigation with event log files and who sees what explorer with Event Monitoring and Security Center.
Sue will delve into the critical need for governance to address risks associated with data security, accuracy, and bias. This essential session will demonstrate how effective AI and data governance provides the strategic framework necessary for protecting your critical business data and ensuring comprehensive data loss prevention. With an urgent need for a practical framework for managing risk and governance, Sue will highlight how AI brings new risks - including data breaches - and provide a clear, actionable roadmap for establishing effective, non-obstructive AI governance.
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