GhostAI - the first Secure AI Gateway to govern every layer where AI risk lives — models, context, tools, and data.
You Don't Have to Choose Between
Innovation and Control
78% of employees now use AI weekly — often through unmonitored Shadow AI that bypasses your DLP, audit logs, and compliance controls. The result: sensitive data, from patient records to proprietary IP, is leaving your perimeter with every prompt. The answer isn't blocking AI — it's governing it in the moment of access.
That's where GhostAI fits in - a secure AI gateway that delivers contextual, unified governance between your enterprise and every LLM.
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GhostAI is built on Dymium's zero-copy, context-aware data access architecture — applying identity, role, and context-based policies at the moment data is accessed, no matter who or what is requesting it.
One central policy layer delivers the contextual governance for your organization's entire AI risk posture, translating complex regulatory requirements into enforcement that works across every access point, data type, model, tool, and workflow.
The MCTD Framework
GhostAI applies policy-based masking, filtering, and auditing across all four layers where enterprise AI risk lives:
Requests route across 800+ public and private models based on data sensitivity, with PII redacted before it ever reaches an external LLM — giving enterprises the freedom to use the best model for every task, under one set of policies.
Turns AI memory into a governed enterprise asset. Secures, monitors and shares conversations, project context, organizational knowledge, and RAG embeddings across teams, agents, and models — so institutional knowledge compounds instead of staying locked in individual chat histories.
Provides the same unified framework for MCP interactions and API calls, giving every tool call and data operation a complete audit trail.
Connects AI systems to live enterprise data without replicating or staging it. Applies Identity- and context-aware policies at the moment of access — so sensitive data is redacted, masked, or tokenized before it ever reaches a model.
The Governance Layer Between Your Data and Your AI Initiatives
Just enough data, governed, logged, and delivered in real time.
- GhostAI provides a centralized portal for over hundreds of LLMs, enabling enterprises to securely say yes to employee demands unlocking productivity and convenience, eliminating tradeoffs, and reducing shadow AI usage.
- GhostAI functions are all available via API for easy integration into AI-based coding environments. GhostAI prevents exposure of secrets, credentials, and sensitive proprietary information via LLMs and tools.
- GhostAI provides a centralized point of control for agents, as well as the infrastructure to safely connect enterprise data and shared memory for agentic and application workflows.
For teams that use sensitive data and teams that govern them.
Dymium lets employees, analytics teams, apps and agents move forward with AI safely. Security and compliance stay in control without slowing anything down.

Get governed access to structure, unstructured and semi-structured data directly at the source—without delays, pipelines, or manual provisioning. Use more data across more tools with less engineering overhead.

Integrate AI LLMs and tools seamlessly. Users and developers can use familiar tools and workflows while benefiting from built-in guardrails that prevent data exposure, accelerating time-to-market

Enforce granular data policies and maintain strict compliance (HIPAA, GDPR) without slowing innovation. GhostAI acts as a secure proxy, monitoring and scrubbing sensitive data in real time.

Achieve audit-proof AI usage. Generate comprehensive, immutable logs detailing what data was accessed, when, and how it was used, making compliance reporting simple and definitive.
Compliance Built-in. AI at Full Speed.
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The Age of Intent
Traditional data security was built for files and firewalls. Legacy tools like DLP and DSPM inspect documents and stop data from crossing a perimeter — but they were never built to understand intent, the meaning behind a data exchange inside an AI conversation or agentic workflow.
Today, data leakage doesn't look like an email attachment. It looks like a prompt. A conversation. Context an agent carries from one workflow into another. Legacy tools fail the moment data becomes unstructured, conversational, or embedded in a process they were never built to see inside.
Governance Built for This Age
Dymium applies policy at the moment of access — evaluating identity, role, and context before a prompt, tool call, or memory ever reaches a model. Legacy tools ask what is this document, and where can it go? Dymium asks who is asking, and should this request be allowed right now? That shift, from static inspection to real-time enforcement, is what lets you govern AI without slowing it down.
GhostAI applies this across all four layers where enterprise AI risk lives — models, context, tools, and data.
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