Enkrypt AI Guardrails vs Pebblo: Side-by-Side Comparison (2026)

Enkrypt AI Guardrails: Runtime security layer for AI agents, RAG, and MCP with real-time controls. built by Enkrypt AI. Core capabilities include Real-time approval, modification, or blocking of AI agent actions, Prompt injection defense at input boundary, RAG retrieval filtering with source constraints and redaction..

Pebblo: AI security platform enforcing access control & governance for AI apps/agents. built by Daxa.ai. Core capabilities include Permissions-aware data connectors with classification for enterprise data sources (Safe Connectors), Role-appropriate and compliant data retrieval from vector databases (Safe Retriever), Secure MCP agent data access with identity and policy control, including prompt injection protection (Safe MCP)..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

Enkrypt AI Guardrails differentiates with Real-time approval, modification, or blocking of AI agent actions, Prompt injection defense at input boundary, RAG retrieval filtering with source constraints and redaction. Pebblo differentiates with Permissions-aware data connectors with classification for enterprise data sources (Safe Connectors), Role-appropriate and compliant data retrieval from vector databases (Safe Retriever), Secure MCP agent data access with identity and policy control, including prompt injection protection (Safe MCP).

Enkrypt AI Guardrails is developed by Enkrypt AI. Pebblo is developed by Daxa.ai. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Enkrypt AI Guardrails and Pebblo serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover RAG, RAG Security. Review the feature comparison above to determine which fits your requirements.