AI agent governance and shadow AI
See the shadow AI.Hold every agent to an accountable owner.
Living Security finds the AI your workforce actually uses, from the tools you already own. It scores AI misuse in the same risk model as your people, and acts on it.
Security teams at
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Securing the unified workforce
Two workforces.One blind spot.
Every company now has two workforces: its people, and the AI they use. Chat assistants, AI search, meeting notetakers, coding assistants and agents with their own service accounts and keys. Most of it arrived without a ticket, and most security teams can't answer three basic questions.
01
What AI is actually in use here?
Including the tools nobody approved, and the same vendor signed up three different ways by three different teams.
02
Who is accountable for each AI tool and agent?
Agents connect to company systems with real permissions. When the person who set one up leaves, it keeps running.
03
Is anyone using it in a way that creates risk?
Pasting regulated data into an unapproved tool is a behavior. Behaviors can be measured, coached and changed.
The riskiest user may not always be human anymore. But the accountable one still is.
74.8%
of risky behavior comes from 10% of the workforce. Now that workforce includes the AI it runs.2026 Human Risk Report with the Cyentia Institute
68%
Less time in a risky state after targeted action.2026 Human Risk Report with the Cyentia Institute
Leader
Named Leader in the Forrester Wave™: Human Risk Management Solutions, Q3 2024.
See it · shadow AI detection
A living inventory of every AI tool and agent in your environment.
AI apps, agents, service accounts and OAuth clients, grouped by vendor. See how many people use each one, how active it is, when it was last seen and the evidence behind every row. Drill down to the people. Bulk-classify what's left.
- Three views. AI (confirmed), Needs Review for likely AI waiting on a person, and All.
- Insight cards written by rules, not by AI. Every number on a card opens the rows behind it, so nothing is invented.
- No new agent to deploy. Built from identity sign-ins, your web gateway and CASB, and app registrations.
Signals from your web security stack
AI use becomes per-person signals, from the security tools you already own.
Traffic from your secure web gateway or CASB to generative-AI sites turns into four signals per person, refreshed daily. No browser extension, and Living Security never captures your prompts.
- AI site visited and AI tool used show who uses what.
- Unauthorized AI tool when the gateway blocks or cautions a visit.
- Sensitive data detected in an AI prompt when your data-loss rules match on an AI destination.
Own it · non-human identity risk
Every agent gets a human owner. Orphans get flagged.
The inventory ties each deployment, agent, service account and key to an accountable person. When no one owns an agent, it is flagged Unowned (Needs Review), like a former employee's meeting notetaker that is still joining meetings.
- Accountability you can show an auditor. Every agent has a name next to it, and every change of owner is audited.
- Discovery from identity sources. Agents, service accounts and keys, each tied to an owner.
- Human decisions are never overwritten. Fresh data never undoes what a person decided. Machine evidence and human judgment are stored apart.
Govern it · AI acceptable use policy enforcement
Turn your AI policy into something enforceable.
Upload it, review it, govern by it. Start from the AI acceptable use policy you already have, or type in your vendors. Livvy reads it and proposes which AI vendors are approved and which are not, quoting the exact line as evidence. An admin approves or declines each one, one by one or in bulk.
- Conflicts are flagged, never guessed. When two documents disagree, the vendor is marked Conflicting for a person to decide.
- Every decision is audited. Livvy proposes, a person approves.
- Employees can read the policy, and Livvy cites it when someone asks "Am I allowed to use this?"
- Policy against actual use. See where AI use doesn't match your policy, and fix it with a nudge, not a ban.
Bring your AI policy to a demo. We'll show you the AI your workforce already uses.
Score it · AI usage monitoring for employees
AI misuse lands in the same Human Risk Index as phishing and training.
One risk model for the whole workforce. The people driving AI misuse show up next to the people driving the rest of your human risk, with the evidence and Livvy's recommendation. We flag risky use and coach people on the safe way to use AI.
- Agents are scored too, alongside the people who own them, in words your team can act on.
Misuse counts as risk
Sensitive data in a prompt, or an AI tool your policy doesn't allow.
Approved use counts in your favor
Using the approved tool, signed in the approved way, is the behavior you want.
Using AI is neutral
Using AI is not a crime. A visit to an AI site on its own changes nothing.
Act on it · playbooks
From finding to fixed, with a person approving what matters.
Playbooks act on what the inventory and the signals find, with the actions you already use across the platform.
- Nudge the person toward the approved tool, at the moment it matters.
- Notify the manager with the evidence attached.
- Open a ServiceNow or Jira ticket for the owner who can fix it.
- Post to Slack or Teams, or change a group in Okta or Entra.
- Start from a template. AI governance playbooks for the common cases: an orphaned agent, an unapproved tool, sensitive data in a prompt.
One run, start to finish
An orphaned notetaker agent, from flag to closed ticket.
-
Found
Flagged Unowned (Needs Review)
The meeting notetaker agent of an employee who left is still joining meetings.
-
Ticket
A ticket goes to the IT owner
A playbook opens a ServiceNow or Jira ticket with the evidence, and tells the manager.
-
Resolved
IT reassigns or retires it
The agent loses its access, or gets a new owner who answers for it.
-
Logged
On the record
The action and the outcome are logged, and the inventory updates on the next daily refresh.
Governed AI
Built by a companythat governs its own AI.
You will ask how we govern Livvy, our AI security analyst. Here is the answer.
Livvy proposes, a person approves
Simulations, content, policy entries and program changes alike. Nothing that matters runs without a person's approval.
Your AI off switch
One customer-controlled switch turns off every AI feature at once and deletes nothing.
Built-in safety controls
PII detection, prompt-injection detection and least-privilege tool access. Livvy has no shell and no code execution, and treats fetched web content as untrusted.
US and EU data residency
Run in the United States or the European Union.
Bring your own AI gateway
Route Livvy through the model endpoint your company has approved.
Your permissions, never more
Connections from outside AI tools are off until an admin turns them on, and every call acts as a named person with that person's permissions.
Livvy where you work · MCP
Ask Livvy from Claude, ChatGPT, Cursor or your own agent.
Livvy's human risk intelligence connects to the AI tools your security team already uses through the Model Context Protocol (MCP). Ask who is driving risk, and trigger governed actions, without leaving the chat. We build for the agentic enterprise, as well as govern it.
- Every call acts as a named person, with that person's permissions. Nobody sees more through MCP than they see in the platform.
- Off by default. An admin turns it on.
- Available in the US and EU.
Ask Livvy in the platform
The same Livvy, inside the platform.
Security teams that work in the platform ask Livvy there: a risk summary, an executive summary for the board, the month-over-month trend. Livvy proposes, a person approves.
More in the platform
Find the AI nobody signed up for on paper.
Discovery from email headers
AI and SaaS sign-ups found from signup, invite and invoice email headers. Headers only: email bodies are never read.
Discovery from OAuth grants
AI and SaaS apps found from OAuth consent grants, each tied to the person who granted access.
Managed vs. unmanaged accounts
A personal AI account used for company work shows up, even when the tool itself is approved.
Awareness for the AI era
Teach the safe waybefore you need the playbook.
Ready-made campaigns and a team experience for the risks AI brings, aimed at the people who need them.
Campaign in a Box
Four AI kits, ready to send
Message copy, articles and images for a campaign your people will notice.
CyberEscape Online
Trust No One
A team escape room about AI deception and prompt injection, new for 2026. Don't just verify the person. Verify the request.
Questions buyers ask
Shadow AI and AI agent governance, answered.
What is shadow AI?
Shadow AI is any AI tool or agent people use for work that the security team has not approved or cannot see: consumer chat assistants, AI search, meeting notetakers, coding assistants and agents running with their own accounts and keys. Living Security finds it from the identity, web security and app registration data you already have.
What is AI agent governance?
AI agent governance means knowing which AI tools and agents run in your environment, who is accountable for each one, and whether anyone uses them in a way that creates risk. Living Security keeps an inventory of AI tools and agents, ties each to a human owner, checks use against your AI policy and acts on what it finds with playbooks.
Do you block AI tools?
No. Blocking drives AI use underground. Living Security finds who uses AI unsafely and why, then coaches, redirects or escalates: a nudge toward the approved tool, a note to the manager, a ticket or an access change. Your existing web gateway keeps doing any blocking you already have in place.
Do you need an agent or a browser extension?
No. There is nothing new to install on laptops or browsers. Living Security builds the picture from tools you already run: identity provider sign-ins, your secure web gateway or CASB, and app registrations. It does not capture or read prompts. Data refreshes daily.
How does this relate to human risk management?
AI use is one more set of behaviors in the same Human Risk Index as phishing, training and identity. Misuse counts as risk, approved use counts as protective, and simply using AI is neutral. The same playbooks act on it, and the people driving AI misuse show up next to the people driving the rest of your human risk.
Every agent, found.Every agent, owned.
See the AI your workforce actually uses, who owns it, and who uses it in a way that creates risk.