Best Security Practices for Implementing AI in the Enterprise
Deploying AI in your business creates new attack surfaces. Here's how to secure them
How to evaluate, deploy, and govern LLMs and generative AI tools without expanding your threat surface. Based on analysis of 1,500+ enterprise AI deployments and the security controls that contained real incidents.
10,000+
Customers
How to evaluate, deploy, and govern LLMs and generative AI tools without expanding your threat surface. Based on analysis of 1,500+ enterprise AI deployments and the security controls that contained real incidents.
This white paper looks at how organizations should approach AI security, which should be baked into the AI adoption journey from the very start. AI security must consider AI techniques, data, models, transparency, and accuracy evaluations. It explores:
- The evolution of security in LLMs
- Questions to ask when evaluating AI vendors
- How to plan your AI adoption journey
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