Who it's for
Who Unseen is for
Security, IT, finance, leadership, compliance and architects each ask different questions about AI. Here is what each of them asks, and where Unseen answers it.
CISO and security teams
Data leaving through AI tools, agents acting with credentials, and proving control.
They ask
- “Which AI tools do people use, and what do they send?”
- “What can our agents do, and who approved it?”
- “Can we act without driving use onto phones?”
What they get
- Every AI service in use, by person and team
- Sensitive data blocked or removed by the rules you assign
- A rule per agent tool, with approval before changes
- A record of every call, in your SIEM
CIO and IT
Giving everyone useful AI without more tools to run or a rip-and-replace.
They ask
- “How do we offer AI to everyone, safely?”
- “Which models do we allow, and can we switch?”
- “What does it take to roll out?”
What they get
- Secure AI Chat with the models you approve
- One gateway for apps and agents
- Works with the security stack you already run
- People and teams from your directory
CFO and finance
What AI really costs, and whether the licences are used.
They ask
- “How many paid AI seats sit idle?”
- “What do teams spend on AI outside the licences?”
- “Should we pay per seat or per use?”
What they get
- Paid seats against real use, per tool
- Unused seats in money per year
- Spend per team, person, model and app
- Secure AI Chat billed by use, with budgets
CEO and business leaders
Getting AI into every team without taking on risk the board will ask about.
They ask
- “Are we using AI as much as we could?”
- “What is it used for, and where does it help?”
- “What happens if data leaks through it?”
What they get
- Approved AI for every team
- What AI is used for, per team
- The shift from shadow AI to approved AI over time
- Sensitive data removed before it reaches an AI tool
Compliance, privacy and audit
Evidence for the EU AI Act, GDPR, NIS2 and DORA, and knowing where data goes.
They ask
- “Which AI systems do we use, and where is the data stored?”
- “Can we show logs and controls to an auditor?”
- “Which obligations do we still document ourselves?”
What they get
- An AI inventory with risk and region, as CSV
- A record of every call and every decision
- Evidence mapped to the obligations it supports
- Scheduled reports
Architects and platform teams
Where it runs, how it fits, and how apps and agents connect.
They ask
- “Can it run in our own environment?”
- “How do our apps and agents connect to models and tools?”
- “Which providers and apps does it support?”
What they get
- Runs on VMware, Nutanix, AWS, Azure or Google Cloud
- OpenAI-compatible gateway, including MCP tools and A2A agents
- 50+ integrations across security, models and apps
- No agent on each device