Secure AI-Powered Development with MCP Governance

AI coding assistants like Cursor, GitHub Copilot, and Replit are evolving into intelligent partners connected via Model Context Protocol (MCP). Pebblo secures this new connectivity, governing what data flows to models and what actions agents can take without adding friction for engineering teams.

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Why Traditional Governance Isn’t Enough

Connected assistants supercharge development velocity, but they also expand the attack surface. Developers may unknowingly transmit sensitive code, exceed RBAC boundaries, or trigger compliance violations. Autonomous agents add operational risk when unsupervised actions reach critical systems.

Secrets & IP leaks to external models

Data overreach beyond role/project context

Autonomous agents making unsafe changes

Pebblo’s answer

A protocol-aware governance layer that inspects every agentic request and response, enforces policy at the edge, and provides full audit visibility across the AI-assisted SDLC.

MCP-Native Security

Govern data and tool access at the protocol level. Pebblo MCP validates permissions and sanitizes payloads before they reach your AI assistants.

Data Loss Prevention

Real-time inspection blocks secrets, credentials, and proprietary code from leaving your environment without slowing developers down.

Agent Controls

Policy-based guardrails prevent unsafe autonomous actions and contain misbehaving agents with Cursor before they impact systems or codebases.

Coding Threats

Detect prompt and code injection patterns and vet third-party MCP servers to reduce supply chain risk in your dev tool stack.

Why Traditional Governance Isn’t Enough

Connected assistants supercharge dev velocity, but they also expand your attack surface. Developers may unknowingly transmit sensitive code, exceed RBAC boundaries, or trigger compliance violations. Autonomous agents add operational risk when unsupervised actions touch critical systems.

Secrets & IP leaks to external models

Data overreach beyond role/project context

Autonomous agents making unsafe changes

Pebblo Answer

MCP-Native Security

Govern data and tool access at the protocal level. Pebblo MCP validates permissions and sanitizes payloads before they ever reach your AI assistants

Agent Behavior Controls

Policy based guardrails prevent unsafe autonomous actions and contain misbehaving agents before they impact systems or codebases

Data Loss Prevention

Real-time inspection blocks secrets, credentials and proprietary code from leaving your environment, without slowing developers down

Injection & Supply-Chain Defense

Detect prompt/code injection patterns and vet third party MCP servers to reduce supply chain risk in your dev tool stack

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.

// Proven outcomes

Financial Services - Trading Platform Development

Protected proprietary trading algorithms from model exposure while keeping Cursor-based assistance for non-sensitive code. AI velocity maintained; IP safeguarded.

0 source leaks

Full AI audit trail

No workflow changes

Healthcare Technology-HIPAA-Compliant Development

PHI never reaches external models. Teams use Copilot for general development while Pebblo enforces HIPAA-aligned policies and auditability.

PHI redaction on

HIPAA Controls

Faster releases

Enterprise Software - Global Dev Teams

Unified policy across geos, tools, and the SDLC. Consistent governance for Cursor, Copilot, and MCP-connected systems at global scale.

1 policy plane

Global coverage

Minutes to onboard

// Security

Built for Enterprise Trust

Compliance & Audit

HIPAA-ready controls, SOC 2-aligned practices, complete AI interaction audit trails, and data residency options.

Security Reviews

MCP server vetting, SBOM-style inventory for agent tools, and continuous policy validation.

Observability

Slack and Splunk alerting out of the box; real-time dashboards for data sharing, policy hits, and agent behavior.

// Demo

Scaling Cursor AI in the Enterprise: Power and Pitfalls

// FAQ’s

We’re here to answer your questions

View Datasheet

Which tools are supported?

Pebblo works with Cursor, GitHub Copilot, Replit Agent, and other MCP-enabled assistants. It governs data flows independent of model or provider.

How do policies work?

Security sets policy once (what data can be shared, which models are allowed, and permitted actions). Pebblo enforces it consistently across tools and repositories.

Will this slow developers down?

No. Pebblo is designed as an inline gateway with micro-latency and policy caching. Most teams deploy with no workflow changes.

Secure AI-Powered Development with MCP Governance

Why Traditional Governance Isn’t Enough

Pebblo’s answer

MCP-Native Security

Data Loss Prevention

Agent Controls

Coding Threats

Why Traditional Governance Isn’t Enough

MCP-Native Security

Agent Behavior Controls

Data Loss Prevention

Injection & Supply-Chain Defense

How it works

Safe Infer

Safe Agent

Policy Plane & Visibility

How it works

Financial Services - Trading Platform Development

Healthcare Technology-HIPAA-Compliant Development

Enterprise Software - Global Dev Teams

Built for Enterprise Trust

Scaling Cursor AI in the Enterprise: Power and Pitfalls

Bring secure Al assistance to your dev teams-without slowing them down.

Architecture View

We’re here to answer your questions

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