Unleash AI On All Your Data. No Compromises
Power AI agents and apps with secure, compliant, and role aware access to all the enterprise data they need no more, no less
.svg)
Trusted By Teams At
Control the Flow of Knowledge
Reasoning Driven Access Control
Imagine AI that enforces existing access privileges across your enterprise systems and goes further. Daxa reasons through gaps, overprovisioned roles, and missing controls to keep sensitive data off limits. With context aware enforcement, purpose-built for AI, you get intelligent access control that adapts to the messy reality of enterprise permissions and prevents leaks at AI Runtime.
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 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, generate, and share along with a data bill of materials for AI, including classification, lineage, and usage context. With full traceability, you can audit activity, detect anomalies, and prove compliance without slowing things down.
Protect from Data Theft Via AI
AI can accelerate productivity or open new doors for data theft. With natural language access to sensitive systems, insider threats can now exploit AI to exfiltrate data faster and with less trace. Daxa’s Zero Trust architecture enforces strict access boundaries and continuously monitors agent and user behavior. Built-in anomaly detection flags risky patterns early so you can stop bad actors before they do damage.
Built-In AI Governance
AI governance isn’t just about oversight it’s about control. As AI agents and apps make real-time decisions and access sensitive data, enterprises need consistent policy enforcement, auditability, and compliance from day one. Daxa embeds governance directly into the AI stack, ensuring usage aligns with regulatory requirements and internal data policies across teams, tools, and models.
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.
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
// 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.
For Al Adopters & Enterprises
Use Proxima to securely connect your data, models, and workflows unified Al productivity, without the complexity.
// Trusted Voices
Smart takes on AI, data
and security
Combining Patient Health data with GenAI models and applications can be fraught with data leakage risks. Daxa offers advanced access control and governance guardrails built-in to their GenAI knowledge retriever to ensure peace of mind.
Siva Somayajula
Chief Technology Officer, Alivecor
Proxima takes a disruptive approach by embedding data access control and governance directly within the AI application, eliminating the need for bolt-on security layers. This integrated model is a game changer for enterprises handling sensitive data, ensuring AI driven insights remain secure, compliant, and seamlessly accessible.
Habib Baluwala Ph.D
GM of AI and Data at OneNZ
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
Resources
Your hub for blogs, videos
and the latest updates
.svg)
.svg)
.svg)
Heading to San Francisco for #RSAC2025?
Join us at The Box SF for private demos, networking, and industry insights.
When
Tue, April 29th, 8:30 AM - 4:00 PM
Where
Near Moscone Center
