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Secure AI-Powered Development with MCP Governance

Control what AI coding assistants can access and do—without slowing down your dev teams.

Al 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.

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

Daxa was built from the ground up to enforce least-privilege access, detect threats in real-time, and meet the strictest standards in BFSI and healthcare.

1

Pebblo AI Gateway

Inline control point for IDE « model traffic. Inspects code snippets, prompts and completions in real time; blocks sensitive content, logs and redacts by Policy.
2

Pebblo MCP (Safe Agent)

Permission checks, role/project context validation, and payload sanitization for MCP tools (Jira, Asana, internal wikis). Transparent to developers, rigorous for Security.
3

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, Al 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 gros, tools, and 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 Al interaction audit
trails, and data residency options.
Security Reviews
MCP server vetting, SBOM-style
inventory for agent tools, and continuous policy validation.
Observability
Slack & Splunk alerting out of the box; real-time dashboards for data sharing, policy hits, and agent behavior.

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

Go live in days. Govern Cursor, Copilot, and MCP-connected tools with one policy plane.
// OUR Architecture

Architecture View

Proxima’s TwinGuard architecture ensures data is both intelligently 
classified and securely retrieved:
// 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/provider.

How do policies work?

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

Will this slow developers down?

No. Pebblo is designed as an inline gateway with micro-latency and policy caching. Most teams deploy without any workflow changes.

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