Exclusive: Dymium introduces single gateway to govern enterprise AI use

Every company chasing AI right now runs into the same wall: the models get smarter the more internal data you feed them, but that same data is exactly what compliance, legal, and security teams don't want floating around outside their walls. Dymium's new product, GhostAI, is built to sit right in the middle of that tension. It acts as a checkpoint between enterprise data and whatever model, agent, or tool is trying to touch it, inspecting the traffic and enforcing policy before anything sensitive leaves the building.

Founder and CEO Denzil Wessels puts it bluntly: the value of enterprise AI comes from feeding models proprietary data, and that's also where all the risk lives. GhostAI tries to split the difference by governing four layers at once — models, context, tools, and data — through a single policy engine instead of stitching together separate products for each. Dymium claims that's a first for the secure-gateway category, and whether or not it's literally the first, the consolidation pitch is the real selling point here.

On the model side, GhostAI can route a request across more than 800 public and private models, either letting a user pick one manually or having the system choose automatically based on task type and how sensitive the data is. A query touching confidential material might get funneled to private inference on AWS Bedrock, Google's Vertex AI, or an on-prem data center instead of a general-purpose public model. Before anything reaches the model, GhostAI scans for names, account numbers, credentials, and other regulated content, then blocks, masks, or swaps it for synthetic stand-ins that still preserve the statistical relationships analysts need. Once the model answers, the real values get pulled back from a protected vault for authorized eyes only — and Dymium says none of the original data ever has to be copied or staged somewhere new to make this work.

The context layer adds a shared-memory system so agents, users, and models can pass conversation history and institutional knowledge back and forth, with restrictions settable down to the individual, topic, or team. The tools layer, meanwhile, governs API and Model Context Protocol calls, logging every action for audit purposes. Dymium is aiming this squarely at finance, healthcare, and any organization nervous about IP leakage, and says early customers have already been running the underlying tech for roughly six months, with setup reportedly taking under five minutes. It's in early access now, pricing will be consumption-based, and general availability has no firm date yet.