Webinar: How vCISOs Can Navigating the Complex World of AI and LLM Security

In today’s rapidly evolving technological landscape, the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) has become ubiquitous across various industries. This wave of innovation promises improved efficiency and performance, but lurking beneath the surface are complex vulnerabilities and unforeseen risks that demand immediate attention from cybersecurity professionals. As the average small and medium-sized business leader or end-user is often unaware of these growing threats, it falls upon cybersecurity service providers – MSPs, MSSPs, consultants and especially vCISOs – to take a proactive stance in protecting their clients.

At Cynomi, we experience the risks associated with generative AI daily, as we use these technologies internally and work with MSP and MSSP partners to enhance the services they provide to small and medium businesses. Being committed to staying ahead of the curve and empowering virtual vCISOs to swiftly implement cutting-edge security policies to tackle emerging risks, we are thrilled to share our insights on how to protect from those threats.

Join us for a cybersecurity specialist panel featuring David Primor, Founder & CEO of Cynomi, and Elad Schulman, Founder & CEO of Lasso Security, who will cover:

  • The emerging security risks associated with AI and LLM usage
  • The latest tools and technologies designed to safeguard against AI and LLM threats
  • Sample AI/LLM security policy, including essential controls you can deploy today
  • vCISO best practices and actionable steps to reduce the risk associated with AI and LLM usage

The era of AI is upon us, and it’s imperative that cybersecurity service providers are prepared to face the associated security challenges head-on. This panel discussion promises to be a thought-provoking exploration of the risks and solutions surrounding AI and LLM security.

Reserve your spot now to ensure you know how to safeguard your clients from AI and LLM related risks.

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