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How to Safeguard AI Access in Your Enterprise

While many organizations are eager to harness the benefits of generative AI for enhancing employee efficiency and improving customer experiences, their security and privacy departments often face challenges in balancing safety with innovation. Companies aim to enable their employees to work more effectively using AI while safeguarding confidential IP, customer data, and avoiding copyright violations. Simultaneously, they seek to deploy AI chatbots to better serve customers without the risk of providing incorrect information, being jailbroken, leaking internal data, or addressing unwanted topics. This session will explore these concerns and demonstrate how WitnessAI can address them effectively. Primary concerns include:

  1. Lack of Visibility: IT departments often struggle to track which AI systems their employees are accessing and how these systems are being used. The rapid proliferation of AI tools and projects further complicates maintaining an overview of AI activities within the organization.
  2. Lack of Control: AI technologies introduce new privacy and compliance challenges. These include ensuring training data from one client is not used for another, preventing unauthorized access to sensitive customer data within AI models, and blocking the sharing of company intellectual property with public AI systems. Addressing these issues requires robust governance measures.
  3. Lack of Protection: AI systems create new attack surfaces, increasing the risk of data breaches and financial loss. Common security threats include prompt injection attacks, jailbreaking of AI models, and the generation of incorrect or harmful outputs (hallucinations) by AI systems.

Safeguard AI Access

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Meet Your Speakers

Abel Morales

Principal Security Engineer, WitnessAI

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