SecureAI Guard: enterprise security for LLM applications

Key Features

Comprehensive security features for your AI applications

• Advanced Threat Detection

  Inspects the whole assembled context — not just the user message — because the payload in an indirect injection is in the document you retrieved.

  How Advanced Threat Detection works, with a configuration exampleRead the prompt injection explainer

• Regulatory Compliance

  Compliance is an evidence problem. The record an assessor asks for is produced as a by-product of enforcing the controls.

  How Regulatory Compliance works, with a configuration exampleBrowse the compliance framework guides

• Data Privacy

  Redact, tokenise or block personal data on the way out, and restore it in the completion so the answer still reads correctly.

  How Data Privacy works, with a configuration exampleRead about PII redaction for LLMs

• End-to-End Protection

  Run the same policy in report-only mode before you enforce it, and derive your model inventory from real traffic rather than a spreadsheet.

  How End-to-End Protection works, with a configuration exampleSee the integration walkthrough

• AI Agent Identity Management

  Scoped credentials per agent per task, and a human confirmation step on anything irreversible or outbound.

  How AI Agent Identity Management works, with a configuration exampleRead the AI agent security guide

• Permission-Based Content Access

  Embedding distance does not know who is asking. Retrieval is filtered by the asking user's entitlements at query time.

  How Permission-Based Content Access works, with a configuration exampleRead the RAG security guide

What each control inspects and what it cannot do · Compare the approaches, including building it yourself · How to benchmark a guardrail on your own traffic