// Data-First AI Governance

Where Your Data Governance Ends, Your AI Risk Begins

Data governance and AI governance were built in silos. The moment AI agents touch and modify enterprise data, that silo becomes your biggest blind spot. DAXA closes it, with one governance layer that reasons over data, identity, and agent action in real time.

Recognized by Gartner two years in a row
Market Guide for AI TRiSM (2025)
Information Governance Landscape (2026)
Trusted By Teams At
// Control the Flow of Knowledge

Identity & Action Management

Traditional IAM was built to answer one question: who has permission to access what. That model breaks the moment AI agents enter the picture. Agents don't just read data, they reason over it, modify it, and act on it across enterprise systems.

DAXA extends IAM into Identity & Action Management. We enforce your existing access permissions, then go further, reasoning over whether an agent should retrieve, write, delete, or share specific data in a given context. Context-aware enforcement at AI runtime keeps sensitive data off limits and stops unauthorized actions before they happen, no matter which agent, app, or model is behind the request.

// BLOGS

The Data AI Needs

No data, no ROI. To move beyond POCs, AI needs secure, compliant access to real business data across silos, with visibility and control over every action built in.

Visibility Into All Your AI Data

Your AI shouldn't be a black box. DAXA gives you real-time visibility into what data AI agents and apps access, modify, generate, and share, with a data bill of materials for AI that includes classification, lineage, and usage context. Full traceability means you can audit every action, detect anomalies, and prove compliance without slowing teams down.

Defend Against AI Threats Across the Data Path

AI accelerates productivity and expands your data attack surface in the same breath. With multi-agent systems now reasoning over, retrieving, and modifying enterprise data, the risk profile has changed entirely. Agents can act beyond their principal's rights, alter or delete records outside their scope, or be hijacked through prompt injection to exfiltrate sensitive context.

DAXA's Zero Trust architecture enforces real-time policy boundaries and detects threats across users, agents, and the actions they take, before damage is done.

Continuous Governance

AI governance isn't a quarterly review. As agents and apps make real-time decisions and take real-time actions on sensitive data, enterprises need consistent enforcement and complete auditability at every interaction. DAXA embeds governance directly into the AI stack, so every call, every retrieval, every action complies with regulatory requirements and internal policy, across teams, tools, models, and time.

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Why AI Needs Built-In Guardrails?

AI firewalls try to filter model outputs after the fact—without knowing what data went in. Without access controls, lineage, or compliance context, they're stuck guessing what a user shouldn't see. That's not governance—it's gambling.

 Daxa's TwinGuard architecture flips the script: our SafeConnectors extract fine-grained permissions from enterprise systems, and our SafeRetriever enforces them before the LLM sees any data. The result? Only authorized, compliant context reaches the model—giving enterprises the confidence to move from GenAI experiments to real production.
Probabilistic Filtering
No oversharing

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// Cost Governance

Govern AI Cost the Same Way You Govern AI Risk

Most enterprises realize their AI spend problem only after costs spiral out of control, driven by unnecessary frontier model usage, runaway agents, and lack of visibility. DAXA brings cost governance into the same control plane as AI governance with intelligent model routing, usage guardrails, and full consumption visibility across agents, teams, and workflows. By governing data, identity, behavior, and cost together, DAXA helps enterprises control AI spend without compromising performance or security.

Why AI Firewalls Aren't Enough

AI firewalls filter model outputs after the fact, without ever knowing what data went in or what actions were taken. No access controls. No lineage. No compliance context. That's not governance, it's gambling.

DAXA's TwinGuard architecture flips the model. DAXA's TwinGuard architecture flips the model. Every MCP call, every retrieval, every action is intercepted and governed at the data layer, before any agent sees, reasons on, or acts against it. Only authorized, compliant context ever reaches the agent, which is why enterprises trust us to move from GenAI experiments to real production.
Filtering Governance
No oversharing
// BLOGS

How Can I Get Started?

Whether you're building Al applications or adopting Al for your enterprise, Daxa has you covered

For Al Builders & Developers

Use Pebblo to bring data access control, security, and governance into your Al apps built-in, not bolt-on.
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For Al Adopters & Enterprises

Use Proxima to securely connect your data, models, and workflows unified Al productivity, without the complexity.
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// 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

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