Compliance Built-in.
AI at Full Speed.
Every day, your team is feeding sensitive data into AI tools you don't control. Source code. Credentials. Customer records. GhostAI stops sensitive data at the source — before it ever reaches a model.
GhostAI is a security and governance layer that sits between your enterprise data and every AI agent, app, and user to control exactly what each system can see at the moment it asks, without moving the underlying data.
How GhostAI Works
Dymium GhostAI redefines how AI applications and agents safely interact with enterprise data. Through 'just-in-time', context-driven access, GhostAI enables AI initiatives to move at full speed while ensuring data is never exposed, moved, or misused.
GhostAI governs the entire enterprise AI risk surface — Models, Context, Tools, and Data (MCTD) — through a single, unified policy engine, not four bolted-together products. Security teams can consistently enforce policy in minutes rather than months, and extend it automatically as new models, tools, and agents emerge.
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Sensitive data
included in LLM
prompts
before it reaches any model. PII, financial, secrets blocked, not just masked.
(2024 Data Breach Report)
Every prompt is scanned
before it reaches any model. PII, financial, secrets blocked, not just masked.
DLP alerts after the fact; it catches output, not the prompt
in annual losses linked to data breaches.
(IBM 2024 Report)
Protects at the Source
in real time before information is ever exposed.
Shadow AI makes it impossible to maintain security and compliance
of enterprises use unsanctioned AI tools without IT approval.
(Gartner 2024)
Governance for all AI use
Scans traffic across tools and models you don't even control.
MCP implementations lack governance
of organizations expect more AI-related data privacy violations in 2025.
(Deloitte 2025)
Full control over model & tool access.
Permissions, policies and audit logs built-in.
AI exacerbates regulatory compliance issues
in compliance losses in 2025.
(SQ Magazine)
Compliance-first, just-in-time protection
50+ regulatory frameworks built-in. Every action is auditable.
What the program includes.
Full Platform Access
Hands-on access to GhostAI. Connect your own data sources and run real workloads through the access layer in your environment.
Onboarding with the Dymium Team
A session with the product team to walk through your environment, answer questions, and get you set up from day one.
Roadmap Input
Early access members feed directly into what gets built next. Your real-world feedback shapes the product direction.
Field-Level Audit Logging
Full observability over your data access surface from day one — every field, every request, every identity logged.
Full Platform Access
Hands-on access to GhostAI. Connect your own data sources and run real workloads through the access layer in your environment.
Onboarding with the Dymium Team
A session with the product team to walk through your environment, answer questions, and get you set up from day one.
Roadmap Input
Early access members feed directly into what gets built next. Your real-world feedback shapes the product direction.
Field-Level Audit Logging
Full observability over your data access surface from day one — every field, every request, every identity logged.
Built on three uncompromising principles.
Click any pillar to explore how it works.
Zero-Trust - Expose Nothing
Reversible tokenization of all PII, whether from a document or data source
Reversible tokenization of all PII, whether from a document or data source
Reversible tokenization of all PII, whether from a document or data source
Zero-Delay - Move Nothing
No data replication — GhostAI reads at the source and applies policy in-flight
Connects to structured and unstructured sources, cloud and on-premise
Sub-millisecond overhead — governance adds no perceptible latency to AI workloads
Zero-Friction - Protect Everything
Write a policy once; it enforces consistently across every AI app and agent
Shadow AI governed automatically — no need to block tools or audit usage manually
MCP agent communications secured: rogue behavior triggers automatic countermeasures
"AI isn't failing because the models are bad. It's failing because the data foundation is weak."
Roxane Edjlali, Gartner — February 2025
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