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ChatGPT has raised the public consciousness around generative AI and large language models (LLMs). For security teams, this means the challenge of implementation falls into one of two routes: Try to secure the use of generative AI within your organization, or block its use outright. If an organization is to enable it’s teams to be efficient, informed, and creative – the former option must be approached with careful consideration of the risks AI presents and impactful policy to mitigate them.
This guide explains the top risks of these tools (such as intellectual property disclosure, copyright infringement of licensed data in AI outputs, and hallucinations) and recommends eight key ways to mitigate them prior to allowing their usage within your organization.
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Understand the main issues with AI, along with common business use cases and recommendations for protecting the organization when using each.
Find best practices to help create and govern your organization’s policy on acceptable generative AI use cases.
Find four high-level best practices for securing third-party software in this Third-Party Software Security Checklist by IANS Faculty member, Richard Seiersen.