Secure AI Authorization

AI needs more than just permissions. It needs context

Secure your distributed AI with built-in contextual authorization

Your AI agents need access to sensitive data across your enterprise. But traditional security tools only ask “who” is accessing, not “why,” “when,” or “how.” This creates massive security gaps for automated systems.

Kamiwaza is a distributed AI platform with contextual authorization and relationship-based access controls (ReBAC) built in. We make AI safe and governable at scale by understanding the full context of every AI action, right where your data lives.

Basic security can’t govern smart machines

Standard role-based access controls (RBAC) were built for humans, not autonomous AI agents operating across distributed data. This old model creates critical failures for modern AI:

  • It lacks context — RBAC grants static permissions. It can’t understand if an AI agent needs temporary access for a specific task or if a delegated action is legitimate.
  • It can’t understand relationships — Your data access rules are complex. A doctor should only see their patients’ records. An agent working on Project A shouldn’t access Project B’s data. RBAC cannot enforce these nuanced relationships.
  • It forces data centralization — To even apply basic controls, other platforms force you to move sensitive data to a central location. This creates huge security risks and compliance violations.
  • It can’t scale for agents — Managing thousands of roles for millions of potential AI agent interactions is impossible with traditional RBAC systems.

Trying to bolt old security onto new AI is like putting a bicycle lock on a rocket ship. It simply doesn’t work.

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Authorization that understands AI, built for distributed reality

Kamiwaza has advanced authorization built into the core of our distributed AI platform. We go beyond basic roles to provide security that understands the unique needs of AI agents operating on sensitive, distributed data.

Contextual authorization: Understanding the “why”

Our platform assesses the full context of each AI request:

Purpose aware

— Grants access based on the specific task the agent is performing, not just its identity.

Temporal controls

— Enables time limited access for specific operations.

Delegation aware

— Understands and audits chains of authorization from human operators to autonomous agents.

Relationship based access control (ReBAC): Understanding connections

Kamiwaza incorporates a powerful ReBAC engine:

Knows relationships

— Controls access based on the relationship between the agent, the data, and the organizational context (like project teams or patient care assignments).

Graph powered

— Models complex organizational structures and data ownership to enforce nuanced rules automatically.

Mission context

— For government and defense, enforces access based on current mission assignments and need to know, beyond just clearance levels.

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Secure distributed inference. Governed by design

  1. The AI agent needs access — An agent running on Kamiwaza needs to process sensitive customer data located in a secure on prem database.
  2. Context check — The platform verifies the agent’s identity, its current task, the time sensitivity, and any delegated authority.
  3. Relationship check (ReBAC) — The platform checks the relationship graph. Is this agent assigned to the team that owns this customer data? Does it have the care relationship required for patient data?
  4. Secure in place processing — If all checks pass, the agent is granted temporary, purpose bound access to process the data directly where it lives. No data moves.
  5. Full audit trail — Every step of the authorization decision and data interaction is logged immutably.

Get results, not just software

Start building today, scale to enterprise tomorrow with guaranteed outcomes every step of the way

Community Edition

$00 /forever /month

Flex Edition

$25,0008 / year /month

Starter Edition

$75,00016 / year /month

Enterprise Edition

$125,000149 / year /month

Community Edition

Flex Edition

Starter Edition

Enterprise Edition

Core Platform

Distributed Data Engine
Locality-aware data operations for RAG
Inference Mesh
Scalable inference across environments
Local Model Repository
API-accessible model management and deployment
Data Catalog
Easy ingestion from files/objects with credential management

Developer Tools

Embeddings Middleware
Model-aware chunking with automatic offset tracking
Vector Database Access
Seamless integration with byte-range retrieval
Cluster Awareness
Develop on Mac, deploy on Linux clusters
React UI
Ready-to-use interface for platform management

APIs & Integration

REST APIs
Comprehensive API suite for custom development
Jupyter Environment
Pre-configured with sample notebooks
Developer Middleware
Data ingestion, retrieval, and model deployment tools
Loose Coupling
Abstracted, fungible architecture for flexibility

Deployment

Integrated Stack
Full Kamiwaza platform with llamacpp/vLLM engine
Pre-Evaluated Components
Tested versions of Datahub and dependencies
Nodes
Number of cluster nodes
1
3
3
3
CPUs/GPUs
Number of CPU/GPU Sockets
1
+1
3
3
VRAM
Maximum VRAM per GPU
-
128GB
500GB
Unlimited

Enterprise Capabilities

Distributed Processing
Intelligent workload orchestration across nodes
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Advanced Security Controls
Enterprise-grade access management
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Production Deployment
Battle-tested for business-critical applications
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Professional Support
Priority technical assistance
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Outcome-Based Support

Guaranteed Outcomes Per Year
Expert-guided implementation of high-value AI solution
-
1
4
12
Dedicated Implementation Support
Work directly with Kamiwaza engineers
-
Solution Design & Optimization
Custom AI workflow development
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Quarterly Reviews
Regular assessment of value delivered
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Monthly Reviews
Regular assessment and optimization
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-
-
Dedicated Outcomes Architect
Assigned strategic implementation partner
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-
-
Priority Engineering Access
Direct line to technical experts
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-
-
Strategic Transformation Planning
Long-term AI roadmap development
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-
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Security built in, not bolted on

Native to distributed AI — Unlike cloud platforms adding basic IAM, our authorization was designed from day one for distributed agents and data.

Beyond RBAC — We offer contextual authorization and ReBAC for nuanced control that basic roles can’t provide.

Zero data movement required — Security operates where your data lives, maintaining sovereignty and compliance.

Handles agents and humans — One unified framework secures access for both your human operators and your autonomous AI agents.

Progressive security — Start with familiar RBAC patterns and evolve to advanced ReBAC and contextual controls without platform migration.


Enabling secure AI in high stakes environments

Federal and defense Federal and defense — Process classified data securely. Our ReBAC enforces mission context and prevents mosaic effects across compartmentalized information.

Healthcare — Ensure HIPAA compliance. Grant access based on doctor patient relationships and specific care tasks without moving PHI.

Financial services — Meet strict regulatory demands. Provide auditable, context aware access to sensitive financial data across global systems.

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Deploy AI you can actually trust

Stop trying to force outdated security onto modern AI. Build on a platform with intelligent, context aware authorization built into its core. Make your distributed AI safe and governable from day one.