Features, pricing, ratings, and pros & cons — compared head-to-head.
Enkrypt AI Guardrails is a commercial agentic ai security tool by Enkrypt AI. Pebblo is a commercial agentic ai security tool by Daxa.ai. Compare features, ratings, integrations, and community reviews side by side to find the best agentic ai security fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Security teams deploying AI agents and RAG systems will get the most from Enkrypt AI Guardrails because it actually stops bad outputs at runtime rather than just logging them after the fact, with sub-15ms latency decisions that won't tank your application performance. The tool covers five NIST CSF 2.0 functions including real-time enforcement across PR.PS and PR.DS, and its identity-aware policy engine means you can lock guardrails to specific roles and tenants without rebuilding for each customer. Skip this if your primary concern is detecting AI misuse after it happens; Enkrypt prioritizes prevention, which means you need governance rules already defined before deployment.
Enterprise security teams building RAG applications and AI agents need Pebblo to enforce data access controls at the model layer, where traditional DLP and identity tools can't reach. The platform's permissions-aware connectors and Safe Retriever enforce policy compliance across vector databases and LLM calls, addressing the PR.AA and PR.DS gaps that emerge when AI apps bypass your existing governance stack. Skip this if your AI workloads are isolated experiments; Pebblo's value compounds only when you're operationalizing generative AI across sensitive data at scale.
Runtime security layer for AI agents, RAG, and MCP with real-time controls
AI security platform enforcing access control & governance for AI apps/agents.
Access NIST CSF 2.0 data from thousands of security products via MCP to assess your stack coverage.
Access via MCPNo reviews yet
No reviews yet
Explore more tools in this category or create a security stack with your selections.
Common questions about comparing Enkrypt AI Guardrails vs Pebblo for your agentic ai security needs.
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.
Get strategic cybersecurity insights in your inbox