GEN AI & AI AGENTS
Govern what AI can reach and return
AI security that starts with the data itself. Theom governs what models and agents can reach by identity, because it secured that data first.
AI is only as secure as the data underneath it
AI inserted a layer of agents and sub-agents that act on people’s behalf and run queries with no human in the loop, which is exactly the access-and-intent problem Theom was built for. To govern it you have to understand the data underneath. Prompt-layer tools sit above the data and cannot see whose it is, how sensitive it is, or whether a request should be allowed. Theom secured the data layer first, over five years, so when an agent reaches your data it already knows the data, the identity, and the policy, and can decide whether this should happen and act on it.
The agent no data platform sees
An agent running queries under a person’s credentials looks like that person to your data platform. Nothing there flags it as automation. Theom treats an agent as an identity in its own right and resolves the compound path back to whoever set it running, so shadow AI stops hiding inside a human login.
Tell an agent’s reads apart from the person whose credentials it uses
Resolve the compound path back to the initiating user
Baseline agent behavior the same way as human behavior
See the whole AI picture, not just what it can reach
Which models and services are in use
See the AI models and services running against your data and by which identities, including geography and consumption.
What sensitive data is reaching them
Trace the sensitive data flowing into models and agents, so you know what an AI has actually seen.
External calls agents make
Surface the external network calls agents make on a user’s behalf, where data can leave without a query ever touching the warehouse.
Model-endpoint changes
Watch model-endpoint creation and modification, so a new endpoint is not a blind spot.
Response-grounding checks
Check that responses are grounded in the data the model was entitled to use.
Governance for every kind of AI access
Theom covers the ways AI actually reaches your data, from a desktop assistant to an agent living inside the store.
Govern by identity
Decide what a model or agent can reach based on the identity and authorization behind each request.
Shape the response
Limit or reshape what an AI returns using the context of the underlying data, so sensitive fields do not leak into an output.
Cover connected agents
Watch agents that reach in through credentials, like a desktop assistant wired into Snowflake or Databricks, and hold them to policy.
Control in-store agents
Govern headless agents running inside the store, like Snowflake Cortex, Databricks Genie, and Salesforce Agentforce, including agent-to-agent chains.
Prevent leaks and toxic joins
Stop data leaks, toxic joins, and unauthorized outputs before they leave the environment.
Full observability
Keep an auditable record of what AI saw, why it was allowed, and what happened next, across the GenAI stack.
WHERE IT RUNS
Works with the AI and data stack you already use
Theom governs AI where it reaches your data, across model providers, in-store engines, and vector stores.
See All Integrations
KEEP EXPLORING
See how Theom fits your stack
AI governance is one view of the Theom platform. See how the whole platform works, or the path built for your team.
Common questions
How is Theom different from AI security tools that guard prompts and responses?
Prompt-layer tools sit above the data and cannot see whose data an AI is touching or how sensitive it is. Theom secures the data layer first, so it governs AI requests with the context of the actual data, identity, and policy behind them.
Can Theom control what an AI is allowed to answer?
Yes. Beyond allowing or blocking access, Theom can shape or limit what an AI returns based on the identity making the request and the sensitivity of the underlying data, so a model can answer a question without exposing the fields a given user should not see.
Does Theom govern AI agents as well as chatbots?
Yes. Agents and AI workflows read from the same tables as everyone else, usually under a shared identity, and often on behalf of a person who never appears in the log. Theom treats an agent as an identity like any other: classified content, observed reads, baselined behavior, and the compound path back to whoever initiated it. It governs connected agents that reach in through credentials, like a desktop assistant wired into Snowflake or Databricks, and headless agents that run inside the store, like Snowflake Cortex and Databricks Genie, including agent-to-agent and sub-agent chains.
Will Theom slow down our AI initiatives?
No. Theom is built to let teams activate data for AI safely, applying policy at the point of access so projects move without waiting on a manual review. Governance runs in the background instead of becoming a gate your data and AI teams have to queue behind.
What happens if Theom is unavailable on the AI path?
You choose. At the AI layer Theom evaluates the request inline, so it is a dependency in that path, and we support failing open (the request proceeds) or failing closed (the request is held) — a policy decision you make, not one we make for you. This is separate from the data layer, where Theom is never in the query path and cannot affect query performance or availability.
Does securing AI mean copying our data somewhere else?
No. Theom governs AI from inside your own data stores, so the data and the controls over it stay in your environment. It reasons about what an agent can reach in place, without exporting data to a separate tool.
Integrate AI into your data with the guardrails in place
We will show you how Theom governs a real agent against your own data, live.
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