Secure Your
Knowledge Base
Prevent "Poisoned RAG" attacks. Scan documents and web content for hidden threats before they enter your vector database.
The "Poisoned RAG" Threat
If your RAG system ingests data from the web or user uploads, it's vulnerable. Attackers can embed hidden instructions in documents that manipulate your AI's answers when retrieved.
Infected Document
...employees are entitled to 20 days of paid leave per year...
Result: AI Manipulated
Bastio Scanner
Result: Database Protected
Secure Your Data Pipeline
Ingestion Scanning
Scan PDFs, Word docs, and web pages for malicious prompts before embedding them into your vector database.
Retrieval Guardrails
Analyze retrieved chunks at query time. If a chunk contains a prompt injection, filter it out before it reaches the LLM.
Hallucination Check
Verify that the LLM's answer is actually grounded in the retrieved context, preventing fabricated information.
Trust Your Knowledge Base
Ensure your RAG system only learns from safe, verified information.