Porcia

Use Case

Your team adopted AI faster than anyone could govern it.

Porcia shows you every AI tool and agent in use across your org — who's using it, what it can access, and where the real risk is.

The problem

AI adoption inside companies didn't wait for policy. Nearly 700 new AI apps reached the workplace in a single year, and most companies now run at least one — almost none of it reviewed first. Employees started using AI assistants the moment they became useful — pasting work into chatbots, wiring up coding copilots, connecting AI agents to their email and documents.

The risk isn't just that you don't have an inventory. It's that AI tools reach deeper than typical SaaS. A single OAuth grant can give an AI agent standing access to a user's inbox or drive. A single employee using AI can spin up dozens of machine identities — agents and integrations acting on their behalf, around the clock. Sensitive data flows into models you've never reviewed, and it's all invisible to the security tooling you already have.

You can't write a sensible AI policy for tools you can't see. Visibility has to come first.

How Porcia solves it

Every AI tool, not just the sanctioned ones

ChatGPT, Claude, Cursor, Perplexity, the AI features quietly switched on inside tools you already pay for. Porcia surfaces all of it — including the ones a single employee signed up for last week.

See who's using AI, and how much

Track adoption at the user level. Know which teams are leaning on AI tools, which tools are spreading fastest, and where usage is concentrated — so governance follows reality, not guesswork.

Map the non-human identities AI creates

Every AI agent or assistant that connects through OAuth or an API becomes a non-human identity inside your stack — one that can read email, touch files, or act on a user's behalf, around the clock. A single person using AI can spin up dozens of them. Porcia surfaces these connections and what each one can actually reach.

Catch risky AI before data walks out the door

An AI tool with broad OAuth scopes into your email or drive is a data exposure waiting to happen. Porcia flags high-risk AI grants so you can review them before something sensitive gets shared.

What your AI usage panel looks like

app.porcia.org/dashboard/ai-usage

AI Usage

GenAI tools and agents in use across your org

5 shadow AI tools

11

AI tools in use

34

Active AI users

6

Connected agents

C

ChatGPT

LLM assistant

28 usersReview
C

Claude

LLM assistant

14 usersApproved
C

Cursor

AI coding

9 usersReview
P

Perplexity

AI search

6 usersShadow AI
M

Midjourney

AI image

3 usersShadow AI

Common questions

Shadow AI is any AI tool, assistant, or agent adopted by employees without going through IT or security review. It ranges from someone pasting customer data into a personal ChatGPT account to an AI agent granted broad access to your Google Workspace through an OAuth connection.
The same way it finds any shadow IT — through the signals AI tools leave behind. Signup confirmations and receipts land in email; OAuth consents and logins show up in your identity provider. Porcia reads those signals to surface AI tools whether or not they were ever approved.
Yes. For AI tools connected via OAuth, Porcia shows the specific scopes granted — whether a tool can read email, access files, or act on a user's behalf. High-risk grants are flagged so you can prioritise review.
No. Porcia is a visibility and governance layer, not a blocker. It shows you what AI is in use and where the risk is, so you can set sensible policy — approve the good tools, review the questionable ones, and remove access where it doesn't belong. Blocking, if you choose to, happens in your existing controls.
Yes — to the extent they connect through OAuth or an API. Every AI agent or integration granted access becomes a non-human identity operating in your stack, often with standing permission to sensitive data. Porcia surfaces those connections and the scopes behind them, so non-human access gets the same scrutiny as the human kind.
AI tools spread faster and reach deeper than typical SaaS. They're adopted individually, often connect into systems holding sensitive data, and a single OAuth grant can expose far more than a standalone app. The discovery problem is the same — the urgency and the data-exposure stakes are higher.

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Shadow IT DetectionIdentity GovernanceCompliance Posture
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