Pebblo vs Wallarm Protect Agentic AI: Side-by-Side Comparison (2026)

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)..

Wallarm Protect Agentic AI: API-first security platform protecting AI agents and AI-enabled APIs. built by Wallarm. Core capabilities include Prompt and code injection attack detection and blocking, Jailbreak attempt prevention for system prompts, Topic boundary enforcement for AI agents..

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

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). Wallarm Protect Agentic AI differentiates with Prompt and code injection attack detection and blocking, Jailbreak attempt prevention for system prompts, Topic boundary enforcement for AI agents.

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

Pebblo and Wallarm Protect Agentic AI serve similar Agentic AI Security use cases: both are Agentic AI Security tools. Review the feature comparison above to determine which fits your requirements.