Govern Autonomous Agents Across Your Enterprise

Low- and no-code platforms empower teams to build powerful agents quickly. These agents use MCP to access both direct APIs and RAG for semantic memory. Pebblo provides two main capabilities: Safe Infer and Safe MCP, enabling you to deploy agents confidently while maintaining full control over data and actions.

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Why agent security is different

Agents don’t just read. They can create, modify, and delete critical data. Without proper governance, they risk leaking sensitive information, violating compliance, or serving as vectors for supply chain attacks through compromised (often open-source) MCP servers.

Sensitive data exposure and IP loss

Unsafe autonomous actions impacting systems

Over-permissioned access beyond role/project scope

Pebblo’s answer

Pebblo secures the universal MCP channel that agents use for both direct API access to data sources and RAG retrieval for semantic memory. It inspects every agentic request and response, enforces policy at the edge, removes injection attempts before they reach agents, and provides full audit visibility across your agent interactions.

Safe Infer

Governs agent-to-model traffic with allow-listed models, prompt and completion inspection, and response validation before execution.

Safe MCP

Integrated module that includes the MCP Gateway and the Trust Zone (where MCP servers are hosted): vetting, sandboxing, runtime permissions, and supply-chain containment.

Coding Threats

Detects and strips malicious command or prompt injections before they reach agents or tools; sanitizes payloads and tool outputs.

Unified Governance

Uniform governance for agents using MCP to reach direct APIs and RAG for semantic memory and retrieval.

How it works

Safe Infer

Inline control point for IDE-to-model traffic. Inspects code snippets, prompts, and completions in real time; blocks sensitive content, logs, and redacts by policy.

Safe Agent

Permission checks, role and project context validation, and payload sanitization for MCP tools (Jira, Asana, internal wikis). Transparent to developers, rigorous for security.

Policy Plane & Visibility

Centrally define what can be shared, which models are allowed, and which agent actions are permitted, applied consistently across assistants, repos and geos.

// Benefits

Enterprise-ready agent deployment

Developer-friendly

No agent code changes required, only agent config updates (LLM URL, MCP URL).

Human oversight

Configurable approvals and guardrails without blocking automation.

Safe MCP

Uniquely addresses open-source MCP supply chain risks.

Proactive prevention

Protects against destructive actions, unauthorized access, and compliance violations.

Platform-agnostic

Works with LangGraph, CrewAI, and custom agents through MCP or APIs (SDK optional).

// Proven outcomes

Financial Services -Banking Agents (LangGraph)

Watch langGraph Banking Agents Demo

Banking agents (LangGraph) analyze market and internal data through MCP connections. Policies restrict access to insider and client data, prevent barrier breaches, and enable compliant automation.

Prevented information-barrier violations

Research velocity maintained

End-to-end auditability

Healthcare -Automation Agents (CrewAI)

Watch CrewAI Healthcare Agents Demo

CrewAI healthcare agents coordinate claims, care, and operational tasks across multiple backends. Pebblo enforces PHI/PII protection and regulatory alignment without limiting automation gains.

PII safeguards

Regulatory compliance upheld

Higher straight-through processing

// FAQ’s

We’re here to answer your questions

View Datasheet

Which agent frameworks are supported?

Pebblo is platform-agnostic and works with LangGraph, CrewAI, and custom frameworks through APIs or MCP integration.

Do we need SDKs?

Security sets policy once: what data can be shared, which models are allowed, and which actions are permitted. Pebblo enforces these policies consistently across tools and repositories. You can integrate using APIs or MCP toward the Pebblo Gateway inside the Trust Zone, with SDKs optional.

How is RAG governed?

Pebblo applies the same policy controls to direct API access and to RAG retrieval, providing uniform governance over agents’ semantic memory.

How are injections handled?

Pebblo detects and removes prompt or command injections before content reaches agents, and validates tool and model responses before actions are executed.

Govern Autonomous Agents Across Your Enterprise

Why agent security is different

Pebblo’s answer

Safe Infer

Safe MCP

Coding Threats

Unified Governance

How it works

Safe Infer

Safe Agent

Policy Plane & Visibility

How it works