In today’s AI-centric world, secure access is key. Traditional access was role-based, but now we need more. Enter Topic-Based Access Control (TBAC) – it helps prevent AI misuse in sensitive areas like violence or hate.
For private Large Language Models (LLMs), human reviews are common for sketchy content. These need to be permission-based and recorded for compliance.
In short, Secure AI Access should include:
AI Access in enterprises is similar to Data Access, just with different access methods. For instance, while SQL is used for accessing a PostgresDB, natural language is employed for LLM/AI interactions.
Our focus is on comprehensive Data Protection for:
Next Generation firewalls (NGFW) have long defended against threats from Layer 3 to Layer 7. Now, we’re seeing the emergence of an AI Layer atop the existing application layer. This new layer requires novel controls for both incoming and outgoing traffic, integrated seamlessly with current network security infrastructure. This means no new installations for applications or endpoints.
Key AI Firewall Requirements for safeguarding AI Traffic include:
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