SecureAI Guard review
A broad inline security layer for enterprises that need private deployment and policy control.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
SecureAI Guard is a server-side security layer for LLM and generative-AI applications. It runs inline between an application and its model providers, inspecting prompts, retrieved context, tool definitions, tool results, and completions. The product is aimed at organizations that need controls across the full request and response path, particularly large enterprises seeking customer-controlled infrastructure. Its documented coverage includes prompt-injection and malicious-input detection, PII and sensitive-data handling, credential and API-key detection, policy enforcement, audit trails, agent-scoped credentials, human confirmation, and permission-filtered retrieval for RAG applications.
Deployment and ecosystem fit are major strengths. SecureAI Guard supports web, API, and self-hosted use, including distribution through a private container registry. Integrations span Amazon Bedrock, Google Vertex AI, Anthropic API, OpenAI, Hugging Face, AWS, Microsoft Azure, Google Cloud, IBM Cloud, LangChain, and LlamaIndex. That combination suits teams operating across multiple model providers or cloud environments. Server-side enforcement, report-only mode, detector verdict recording, and inspection in both directions give security teams several ways to apply controls without limiting the product to prompt filtering alone.
Pricing places SecureAI Guard firmly in the paid enterprise category. Startup costs $2,999 per month or $29,990 per year and includes basic threat detection, real-time monitoring, and standard support. Business costs $4,999 per month or $49,990 per year, adding advanced threat detection, a custom rules engine, and priority support. Enterprise costs $19,999 per month or $199,990 per year, adding advanced analytics, 24/7 priority support, and dedicated support. Premium Enterprise adds unlimited API call volume, custom in-house implementation, and tailored integrations, with pricing handled separately. The product is in beta, so buyers should favor it when its breadth and private deployment model justify enterprise pricing and evaluation work; smaller teams seeking a free or lower-cost starting point should look elsewhere.
SecureAI Guard pros and cons
- Where it wins
- Covers prompt injection, PII, secrets, policies, audits, and RAG permissions
- Supports hosted, API, and self-hosted deployment with private registry distribution
- Integrates with major clouds, model providers, and frameworks
- Where it doesn't
- Starts at $2,999 per month with no free plan
- Public API, security-model, and installation references are not yet published
- Premium Enterprise pricing is not stated in the published plans
SecureAI Guard fact sheet, pricing and score →
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