Your Developers Have AI Agents. Now You Have Control

AI coding assistants like Cursor, Claude Code, GitHub Copilot, and Replit are now connected to your data via Model Context Protocol (MCP). Safe Infer and Safe Agent give engineering leaders control over what data flows to models and what actions agents can take, without adding friction for your teams.

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Why Traditional Governance Isn’t Enough

Connected coding agents accelerate development but also expand your attack surface. Traditional controls can't keep pace with agents that are already inside the enterprise. Proven exploits have leaked sensitive IP, opened covert supply chain channels and unsupervised agent actions have even deleted production databases.

Autonomous agents making unsafe changes

Data overreach beyond role

Secrets & IP leaks to external models

Injection Attacks

One Control Plane for Every AI Coding Tool

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. Safe Agent validates permissions and sanitizes payloads before they reach your AI assistants - so every tool call is scoped to role and project.

Data Loss Prevention

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

Agent Controls

Reasoning-driven guardrails prevent unsafe autonomous actions and contain misbehaving coding agents before they affect systems or codebases.

Coding Threats

Detect prompt and code injection patterns and vet every third-party MCP server, reducing supply chain risk across your dev tool stack.

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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

Live in Minutes. No Workflow Changes

Adding protection is effortless. Point your AI coding assistant's configuration to the Safe Infer LLM URL and the Safe Agent MCP gateway URL, and you have full visibility and control across the SDLC - in minutes, with no workflow changes.

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.

// 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

// BENEFITS

Security Confidence. Engineering Freedom

For Engineering Leaders

Usage Dashboard: Understand assistant usage, data connections, and governance bypass,by developer, tool, and team

Adoption Insights: Measure productivity impact without added security concerns

Safe Experimentation: Let devs explore new tools, with policies automatically applied

For Security Teams

Policy Engine: Define and enforce data exposure rules from day one

Security Engine: Block unsafe agent actions like db deletes or secret exfiltration

Risk Intercept: Get alerts when MCP activity suggests poisoning or backdoor attempt

// 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.

Real-Time Alerts

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

// Trusted Voices

Smart takes on AI, data
and security

Zero Trust and AI Firewalls can’t protect Enterprise AI without reasoning over data. DAXA saw that very early on.

Claudio Coelho Jr

Fmr Head of AI at Palo Alto & ZScaler

DAXA stands out because they refuse to take short cuts on the deep engineering challenges of AI security. They tackled the hard work of context and authorization at the root. They didn’t build the easy solution, they built the right one.

Sam Chehab

CISO Postman

Company data, whether internal or customer data, ingested into Gen AI apps is at increasing risk of unauthorised access, harmful leaks, and privacy violations. Pebblo's developer friendly controls help our teams rapidly build secure by default Al apps that protect data with just a few lines of code. This ensures that we have the right data inputted and outputted to the authorised parties, strengthening our defence in depth.

Ryan Tolentino

Global Head of Multi cloud security, SAP

Every AI application relies on corporate data to ground LLMs in enterprise truth. A key data security challenge for developers is controlling who has access to what. By restoring enterprise data lineage covering its source, entitlements, and semantics DAXA introduces the first developer-centric approach to solving data access governance issues in AI apps

Nico Popp

Former Chief Product Officer, Tenable & ForcePoint

Without governance, you're one vibe-driven hallucination away from a galactic-scale outage. Pebblo MCP Gateway is the missing command structure that turns chaotic agents into a disciplined force you can trust in production

Mark Dorsi

CISO, Netlify

// FAQ’s

We’re here to answer your questions

View Datasheet

Which tools are supported?

Safe Infer and Safe Agent work with Claude Code, Cursor, GitHub Copilot, Replit Agent, and other MCP-enabled assistants. They govern 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). Safe Infer and Safe Agent enforce it consistently across tools and repositories.

Will this slow developers down?

No. Safe Infer runs as an inline gateway with sub-millisecond policy evaluation and caching. Most teams deploy in under a day with no workflow changes.

How does Safe Infer handle sensitive code or secrets?

Safe Infer automatically scans prompts and responses for secrets, credentials, and proprietary code. If something sensitive is detected, it blocks or redacts the content before it ever leaves your environment, credentials, and proprietary code. If something sensitive is detected, it blocks or redacts the content before it ever leaves your environment, ensuring compliance without interrupting the developer’s workflow.

Can I enforce different policies for different teams or projects?

Yes. Policies can be set at the team, project, or even individual level. For example, a healthcare project can have stricter HIPAA-aligned policies while an internal tooling project can operate with more flexibility, all managed from the same policy plane.

Your Developers Have AI Agents. Now You Have Control

Why Traditional Governance Isn’t Enough

One Control Plane for Every AI Coding Tool

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

Scaling AI in the Enterprise: Power and Pitfalls

How it works

Safe Infer

Safe Agent

Policy Plane & Visibility

Live in Minutes. No Workflow Changes

Financial Services - Trading Platform Development

Healthcare Technology-HIPAA-Compliant Development

Enterprise Software - Global Dev Teams

Security Confidence. Engineering Freedom

For Engineering Leaders

For Security Teams

Built for Enterprise Trust

Read about the Recent Exploits on AI Coding Assistants

Nine Seconds to Zero: What the PocketOS Incident Reveals About Ungoverned AI Agents

CurXecute: A New Attack Surface in AI Assistants

MCPoison: Understanding the New Security Risk in AI Workflows

Smart takes on AI, data
and security

Give Your Teams AI Coding Agents You Can Actually Trust in Production

Architecture View

We’re here to answer your questions

Unlock Rapid ROI with Proxima

Your Developers Have AI Agents. Now You Have Control

Why Traditional Governance Isn’t Enough

One Control Plane for Every AI Coding Tool

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

Scaling AI in the Enterprise: Power and Pitfalls

How it works

Safe Infer

Safe Agent

Policy Plane & Visibility

Live in Minutes. No Workflow Changes

Financial Services - Trading Platform Development

Healthcare Technology-HIPAA-Compliant Development

Enterprise Software - Global Dev Teams

Security Confidence. Engineering Freedom

For Engineering Leaders

For Security Teams

Built for Enterprise Trust

Read about the Recent Exploits on AI Coding Assistants

Nine Seconds to Zero: What the PocketOS Incident Reveals About Ungoverned AI Agents

CurXecute: A New Attack Surface in AI Assistants

MCPoison: Understanding the New Security Risk in AI Workflows

Smart takes on AI, dataand security

Give Your Teams AI Coding Agents You Can Actually Trust in Production

Architecture View

We’re here to answer your questions

Unlock Rapid ROI with Proxima

Smart takes on AI, data
and security