// AGENT GOVERNANCE · AI FACTORY SECURITY

The Data Control Layer for Agentic AI

Daxa decides what each agent may see and do with your data, and enforces it in the network and on the endpoint.

Recognized by Gartner two years in a row
Market Guide for AI TRiSM (2025)
Information Governance Landscape (2026)
Trusted By Teams At
// REBAAC: REASONING-BASED ACCESS CONTROL

Access Control That Reasons Before It Acts

ReBAAC brings identity, policy, and real-time adjudication together to determine whether an agent should retrieve, write, delete, share, or act on specific data. Instead of relying on static permissions, it makes context-aware access and action decisions at runtime.

// 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
// USE CASES

Built for two use cases

Use any coding agent. Keep code and data in bounds.

One script points Claude Code, Codex, Cursor or your own agents at Daxa.

Explore agent governance →

Custom topics & entities

Injection protection

Guardian Agent

MCP Trust Zone

Cost governance

Risk & adoption reporting

Security built into the token factory.

One inference gateway for every prompt, response and tenant. On HPE AI Factory and Private Cloud AI.

Explore AI factory security →

Prompt & response inspection

Live threat signatures

Per-tenant data policies

Quota & anomaly detection

Guardian Agents

Tamper-proof audit trail

// 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 Daxa to bring data access control, security, and governance into your AI apps built-in, not bolt-on.
Explore Daxa

For Al Adopters & Enterprises

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

We are Gartner recognized

Recognized by Gartner for two consecutive years, 2025 and 2026.
// 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
"Data and action governance is critically important for long-running agents as a layer above OpenShell."
Chris White
Director, AI and Cybersecurity, NVIDIA
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
"Our solution with Daxa ensures enterprises can build AI factories with clear governance guardrails, to keep innovation responsible, data secure, and outcomes fair."
Robin Braun
VP of AI Business, HPE

Accelerate your Gen AI regulatory compliance

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