Governance and guardrails for employee usage
GenAI Enforcement Standard: A template to build enforcement standard to your organisation
By looking at the real usage, data flows and risk exposures
By automatically gating access based on data protection terms and risk profiles
By enforcing policies on data usage and generated content based on job role needs
By adding a safety net that removes accidental data leaks
Before diving into the how of security and governance tooling, you must first understand the what of enforcement. Evaluating tools based solely on their technical features and implementation details won’t deliver meaningful results. Success in GenAI governance starts with clearly defining what needs to be enforced—only then can you determine how to do it effectively.
Best Practices for Securing Public GenAI Apps and LLM Apps in the Enterprise
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It is very positive that the big GenAI vendors, like OpenAI, Microsoft and others, have been granting more transparency into how they treat the content they collect from their end users. It’s only reasonable that you know where your prompt may end up. Will it be used to train the model, or will it even show up in an AI generated response to somebody else?
