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AI: Ally or Adversary? Assessing Risks and Rewards in the Digital Age

Date - Venue (1)-3

In the rapidly evolving landscape of AI-powered automation, understanding your environment before deployment is crucial. This webinar will explore the critical steps necessary to secure your environment as you integrate AI technologies. We will delve into the potential risks associated with data sources and how they might compromise your system.

Learn about the importance of safeguarding both incoming and outgoing data to prevent corruption and breaches. Discover best practices for securing endpoints, implementing least privileged access, and adopting a zero-trust model. We will also cover essential strategies for data loss prevention, ensuring your organization remains protected while leveraging the transformative power of AI.

Join us to navigate the complexities of AI deployment and transform potential threats into opportunities for innovation and growth.

Three Key Takeaways:

  1. Pre-Deployment Assessment: Understand the importance of thoroughly evaluating your environment before deploying AI-powered automation to identify and mitigate potential risks associated with data sources and system vulnerabilities.
  2. Comprehensive Data Security: Learn strategies to secure both incoming and outgoing data, ensuring integrity and protection against corruption and breaches. Emphasize the importance of a zero-trust model and least privileged access to safeguard sensitive information.
  3. Endpoint and Data Loss Prevention: Discover best practices for securing endpoints and implementing robust data loss prevention measures to protect your organization from internal and external threats while harnessing the benefits of AI technologies.

Please Complete the Form to Register!

Speakers


David Arturi - headshot-1
Head of Financial Services
Lydonia
Chris Yuli - Circle headshot-1
VP of Sales
CyberSecOp
Seth Holland - Circle headshot-1
VP, General Manager
CyberSecOp

We Hope To See You There

Questions? Email Marketing@LydoniaTech.com