The Authorization Infrastructure Your AI Systems Need.
Deploy AI that respects every permission, prevents data leaks, and maintains complete audit trails. AuthZed provides the authorization that makes enterprise AI secure.
AI can surface any data it can access - including information users shouldn't see
Without boundaries, AI agents can perform damaging actions beyond their intended scope
Traditional access controls break down when data becomes embeddings
How AuthZed Secures Your AI Systems
Make your vector databases respect source systems' permissions
Build AI features without mixing customer data
Define and enforce boundaries for autonomous AI systems
The Same Query. Two Different Outcomes.
Scenario: Employee asks AI assistant "What was our Q3 revenue?"
Integration in Minutes, Not Months
# 1. Check permissions before vector search
accessible_docs = authzed.lookup_resources(
resource_type="document",
permission="view",
subject=f"user:{current_user}"
)
# 2. Search only authorized embeddings
results = vector_db.search(
query_embedding,
filter={"id": {"$in": accessible_docs}}
)
# 3. Generate response with authorized context
response = llm.generate(query, context=results)