DeepKeep for AI Applications vs FireGuard: Side-by-Side Comparison (2026)

DeepKeep for AI Applications: Security platform for AI applications across development and production. built by DeepKeep. Core capabilities include Security for AI applications across full lifecycle, Policy enforcement in development pipeline, Application-level AI behavior monitoring..

FireGuard: Policy enforcement & monitoring layer for Microsoft Copilot deployments. built by Fireraven. Core capabilities include Real-time input and output controls for Copilot, Department and workflow-scoped policy enforcement, Restriction of sensitive topics (medical, legal, financial)..

Both serve the LLM Guardrails market but differ in approach, feature depth, and target audience.

DeepKeep for AI Applications differentiates with Security for AI applications across full lifecycle, Policy enforcement in development pipeline, Application-level AI behavior monitoring. FireGuard differentiates with Real-time input and output controls for Copilot, Department and workflow-scoped policy enforcement, Restriction of sensitive topics (medical, legal, financial).

DeepKeep for AI Applications is developed by DeepKeep. FireGuard is developed by Fireraven. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

DeepKeep for AI Applications and FireGuard serve similar LLM Guardrails use cases: both are LLM Guardrails tools, both cover Policy. Review the feature comparison above to determine which fits your requirements.