Protect AI systems that search, retrieve, and generate responses from your documents, databases, and knowledge bases.
BladeRun protects every layer of retrieval-augmented generation
Natural language
Input scanning
Vector search
Context chunks
Context scanning
Generation
Output filtering
To user
Document-based AI introduces unique security challenges
Malicious instructions hidden in documents that get retrieved and executed when the LLM processes them as context.
Adversaries inserting manipulated content into your knowledge base to influence AI responses.
Crafted queries designed to retrieve specific documents and combine them in harmful ways.
Users attempting to access documents they shouldn't have permission to view through AI queries.
AI revealing document sources, file paths, or other metadata that should remain private.
Exploiting retrieval to combine information from multiple documents in unintended ways.
Security at every stage of the retrieval pipeline
Scan user queries for injection attempts before they reach your retrieval system.
Analyze retrieved documents for hidden payloads before they enter LLM context.
Automatically redact sensitive data in both retrieved content and generated responses.
Enforce document-level permissions ensuring users only see authorized content.
Verify AI responses don't leak source information or combine data inappropriately.
Track which documents were retrieved and used for each response.
BladeRun works with all your knowledge sources
Protect document-based AI with enterprise-grade security