Daxa.ai Pebblo vs Protect AI Layer: Side-by-Side Comparison (2026)

Daxa.ai Pebblo: Dual-layer AI security platform for RAG chatbots covering model and retrieval. built by Daxa.ai. Core capabilities include Policy-based AI model routing by user or group to approved models, Real-time sensitive data redaction before prompts reach the model (Safe Infer), Model completion validation for appropriateness and compliance..

Protect AI Layer: Runtime security platform for AI apps with threat detection and monitoring. built by Protect AI. Core capabilities include Automatic AI application discovery using eBPF monitoring, 27 turnkey security policies based on 15 security scanners, End-to-end monitoring of AI interactions including tool calls and function calls..

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

Daxa.ai Pebblo differentiates with Policy-based AI model routing by user or group to approved models, Real-time sensitive data redaction before prompts reach the model (Safe Infer), Model completion validation for appropriateness and compliance. Protect AI Layer differentiates with Automatic AI application discovery using eBPF monitoring, 27 turnkey security policies based on 15 security scanners, End-to-end monitoring of AI interactions including tool calls and function calls.

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

Daxa.ai Pebblo integrates with Slack, SharePoint, Salesforce, Jira, Asana. Protect AI Layer integrates with DataDog, Splunk, Elastic, PagerDuty. Check integration compatibility with your existing security stack before deciding.

Daxa.ai Pebblo and Protect AI Layer serve similar LLM Guardrails use cases: both are LLM Guardrails tools, both cover RAG. Review the feature comparison above to determine which fits your requirements.