HPE and Daxa Partner to Deliver Secure AI Factories for Enterprises Read More

Safely Unleash
AI-Assisted SDLC

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

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.

Why Traditional Governance Isn’t Enough

Connected coding agents accelerate development but also expand the attack surface. Traditional controls can’t keep pace with risk from these agents, which 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
Prompt Injection Attacks

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

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 carefully vet all third-party MCP servers to effectively reduce overall 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
// Resources

Read about the Recent Exploits on AI Coding Assistants

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

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.
2

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.
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.

How it works

Adding Pebblo protection is effortless. Simply change your AI coding assistant’s configuration to point to Pebblo’s LLM URL (Safe Infer) and to Pebblo’s MCP gateway URL (Safe Agent), and you are all set.
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.
Safe Controls
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
// BENEFITS

Security Confidence. Engineering Freedom

For Engineering Leaders

Usage Dashboard: Understand assistant usage, data connect, governance bypass
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.
// Demo

Scaling AI in the Enterprise: Power and Pitfalls

// Trusted Voices

testimonials from industry experts

"HPE’s collaboration with Daxa reinforces our commitment to helping enterprises adopt AI safely and at scale. By combining our AI infrastructure with Daxa’s AI governance layer, we are ensuring enterprises can innovate without compromising on security or compliance."
Mark Dorsi
CISO, Netlify
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
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
"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"
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
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.

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 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.

How does Pebblo handle sensitive code or secrets?

Pebblo 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, ensuring compliance without interrupting the developer’s workflow.

Can Pebblo 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.

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