Book a demo

See every model your
organization is using.
Then govern it.

Modelsight surfaces AI usage across your environment — sanctioned, third‑party, and shadow. Inventory in hours. Governance posture inside a week.

30‑minute walkthrough No agent install Read‑only access
  • Complete AI inventory — every endpoint, owner, model, and call volume.
  • Posture scored against your baseline — ungoverned usage, exposed credentials, policy drift.
  • Deploys with or without agents and can observe existing egress.
The platform

Visibility before control. Control follows from understanding real behavior.

Modelsight is built around three primitives every security team already knows. We map them onto the AI surface so your existing program does not need a rewrite.

Visibility

Discover every model, endpoint, and integration in use both sanctioned and shadow. Build a continuous inventory from day one.

240+ endpoints / org99.4% capture

Posture

Score each surface against your governance baseline. Identify ungoverned usage, exposed credentials, and policy drift before they become incidents.

16 baseline controls4h to first score

Response

Triage real events with the context your team expects: who, what model, what data, what business unit. Route to the right channel.

SIEM + SOAR readyPagerDuty · Slack
In product

A single inventory of every AI surface in your environment.

Every endpoint, owner, model, and call volume in one view. Filter by business unit. Tag what’s governed; isolate what isn’t.

console.modelsight.io / inventory
Inventory
AI endpoints · last 24h
Endpoints observed
247 +12 / 24h
Governed
204/ 247
Observing
36
Ungoverned
7
Endpoint
Owner
Model
Calls 24h
Status
Trend
api.openai.com
platform-team
gpt-4o
8,402
Governed
api.anthropic.com
research
claude-sonnet-4.5
3,118
Governed
gateway.internal
data-eng
mixtral-8x22b
892
Observing
unknown.fly.dev
—
gpt-4o-mini
34
Ungoverned
hf.co/inference
ml-platform
llama-3.1-70b
614
Observing
azure-openai.priv
apps
gpt-4-turbo
1,204
Governed
Your 30-minute demo

Four chapters. Your data. Real numbers — not a deck.

Before you book, here’s exactly what we’ll cover. Most teams leave the call with a partial inventory already running against their environment.

Setup
Read-only connector to your egress.

We connect to your existing observability surface — proxy, VPC flow logs, EDR — with read-only credentials. No agents on hosts. No code changes.

✓ linked vpc-flow logs · us-east-1 · us-west-2
✓ linked proxy: zscaler · 2 tenants
✓ linked siem: splunk-cloud
→ baseline collection started · est. 4h
Walkthrough
Every model, endpoint, owner, and call volume.

A 12-minute tour of the inventory view using your actual data. We sort by business unit, isolate ungoverned usage, and review three example endpoints together.

• 247 endpoints · 14 model families · 6 BUs
• 36 observing · pending owner assignment
• 7 ungoverned · 3 high call volume
example: unknown.fly.dev → gpt-4o-mini
  ↳ originating: marketing-vpc · no policy match
Posture
Translate inventory into a governance score.

We map each surface against the 16-control ModelSight baseline (data residency, credentialing, logging, owner accountability). You see a posture score per BU.

posture · last 24h
platform-team    86 / 100   14/16 controls
research           79 / 100   13/16 controls
data-eng           64 / 100   11/16 controls
marketing         42 / 100    7/16 controls
Response
Events flow into the channels your team already lives in.

New ungoverned endpoint? Credential exposure on a prompt? We route to PagerDuty, Slack, Splunk, or your SOAR — with the same context your analysts get on any other event.

event · 2026-05-12 14:02 UTC
▲ exposure · unknown.fly.dev / gpt-4o-mini
  caller: 10.42.16.118 · 4 prompts contain PII tokens
→ routed: pagerduty · sec-on-call
→ routed: slack · #ai-governance
✓ opened ticket: JIRA SEC-4192
240+
Model endpoints observed across the average enterprise estate
4 hrs
Median time from connector deployed to first complete AI inventory
99.4%
Inference calls captured without inline-agent overhead on any host

We had no shared answer to “what AI is running in our environment.” Modelsight gave us the inventory in an afternoon, and the governance posture inside a week.

VP, security engineering · Fortune 100 financial services
Common questions

The questions that come up before a demo.

If yours isn’t here, the team can answer it in the first five minutes of the call.

Read the technical brief
A 30-minute video call with a ModelSight solutions engineer. We connect a read-only collector to a non-production environment of yours (or we use a Modelsight sandbox), walk through the inventory view live, and leave you with a working baseline.
If you wish to monitor endpoint devices, the ModelSight agent is required. ModelSight also observes existing egress and proxy surfaces which does not require an endpoint, and correlates them into a model inventory.
By default we capture the user prompts, model responses, related users, and application information. PII is redacted by default and never ingested into our pipeline.
A dedicated tenant in our cloud region of choice — US, EU, or APAC. Single-tenant deployment in your cloud or a government cloud is available for regulated industries.
A SIEM tells you what already happened. ModelSight gives you a continuously refreshed inventory of the AI surface itself — endpoints, owners, baselines, exposure — and sends the events back into your SIEM with proper context. The two complement each other.
First complete inventory: roughly four hours after the read-only connector lands. First posture score: within a week, after we tune the 16-control baseline to your governance program.

Establish your AI baseline.

Deploy ModelSight in your environment, see your full AI inventory in hours, and brief your CISO with real numbers — not a survey.

  • 30‑minute walkthrough with a solutions engineer
  • Read‑only connector — no agents, no code changes
  • Working inventory before the call ends
Book a demo. Typical response: same business day.
Book a demo