Lyzr Research · October 2026 · Agent governance · A 75 minute read

The Agent
Sprawl Report.

How many agents enterprises really run, why the number keeps climbing, what an ungoverned estate costs, and the census, zoning and permit system that brings it under control.

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To the CIO, the CISO, and whoever was just asked how many agents the company runs

You cannot govern what you cannot count.

ON THE MAPNOT ON ANY MAP18% HAVE A FULL INVENTORY. 82% FOUND ONE THEY DID NOT KNOW.
01

Agents are cheap to make and free to forget.

Every platform now ships a builder. A business user can stand up an agent in an afternoon, connect it to live data, and move on. Nobody is paid to switch it off.

02

So nobody knows the number.

Only 18% of organizations keep a current, complete inventory of their agents. 82% found at least one agent last year that security or IT did not know existed.

03

Count them, name them, zone them, retire them.

A city that grows faster than its map does not need fewer buildings. It needs a census, a zoning code, a permit office and a demolition crew. So does an agent estate.

This is the argument

This report starts with the count, follows the sprawl to its causes and costs, and ends with a working system for the map, the zoning and the permit. Part 8 is Lyzr’s own description and is labeled that way.

Lyzr Research, October 2026

The short version.

  • The countGartner says the average Fortune 500 enterprise ran fewer than 15 agents in 2025 and will run more than 150,000 by 2028. IBM expects large enterprises to pass 1,600 this year.
  • The blind spot18% keep a complete agent inventory. 82% found an agent last year that IT did not know about. 13% believe their governance is right.
  • The causeMade in five places at once, by people with no reason to register them and nobody paid to retire them. Blocking pushes the work into the shadows.
  • The cost54 agent incidents per organization last year, 17% of them serious. 80% say an agent has taken an unintended action. 40% of agentic projects will be canceled by 2027.
  • The mapA census with twelve fields per agent, built from scans, platform exports and asking people. An inventory that is 80% complete is a rumor.
  • The systemOne identity, a scope, a limit and a tier per agent. Four gates, register, test, release, review. Nothing runs without an owner, nothing runs forever.
  • The betBy 2028 a central agent registry is a standard control, like the CMDB and the identity directory today.

What this covers

Eight parts, from the count to the control.

01

How many

The census

What the counts say, and why they disagree.

02

Causes

Why it sprawls

Five places agents get made, and the confidence gap.

03

Incidents

What it costs

Incidents, leaks, canceled projects and quiet waste.

04

Inventory

The map

A census with twelve fields, and three ways to fill it.

05

Identity

The zoning

One identity, a scope, a limit and a tier per agent.

06

Lifecycle

The permit

Four gates from registration to retirement.

07

Predictions

What next

Six predictions, and the case against this report.

08

Lyzr

Where Lyzr fits

What applies, a first step and the questions to ask.

Gartner, April 2026

The average Fortune 500 enterprise will run more than 150,000 agents by 2028.

150,000

Agents in use at the average global Fortune 500 enterprise by 2028, against fewer than 15 in 2025

Gartner calls it a ballpark figure. The order of magnitude is the point. The estate grows ten thousandfold in three years, and most of it will be built by people who never asked IT.

Four orders of magnitude in three years

Gartner press release, April 28, 2026, and Max Goss via Computerworld, April 30, 2026.

The argument in one picture

A city that grows faster than its map.

Buildings go up overnight. Some have an address, an owner and a permit. The rest are on nobody’s map, draw power from somebody else’s meter, and never come down. An agent estate sprawls the same way. The fix is the one cities found. A census, a zoning code, a permit office and a demolition crew.

NO.1NO.2NO.3NO.4NO.5?????????THE MAP, 2025ON THE MAP, WITH AN ADDRESS AND AN OWNERNOT ON ANY MAP. DRAWING POWER FROM SOMEBODY ELSE’S METER.ILLUSTRATIVE. THE MAP STOPS AT FIVE, THE CITY DOES NOT.
01

The census.

What the counts say, and why they disagree.

This part lays out every credible count of agents per enterprise, shows why the numbers range from twelve to 150,000, and ends with the three counts a CIO should be able to give from memory.

THECENSUS.FOUR HAVE AN ADDRESS. FIVE DO NOT.

What the surveys count

Three numbers, three definitions.

12 → 20

Agents per enterprise, by IT leaders

Salesforce’s 2026 Connectivity Benchmark, with Vanson Bourne and Deloitte Digital, puts the average at 12 today and 20 by 2027. OutSystems, polling 1,900 IT leaders, lands on the same 12.

12 TODAY, 20 BY 2027SALESFORCE, 1,050 IT LEADERS. OUTSYSTEMS, 1,900.WHAT IT LEADERS CAN SEE.
1,600+

Agents per large enterprise, by IBM

IBM told Think 2026 that most large enterprises will operate a digital workforce of more than 1,600 agents by the end of 2026.

1,600 BY END OF 2026EACH BAR IS TEN AGENTS. IBM, THINK 2026.WHAT A LARGE ENTERPRISE WILL RUN.
150,000

Agents per Fortune 500 firm, by Gartner

Gartner’s April 2026 estimate for 2028, up from fewer than 15 in 2025. Gartner’s own analyst calls it a ballpark.

FEWER THAN 15 TO 150,0002025202810,000XA BALLPARK, BY GARTNER’S OWN WORD.

Salesforce via CIO Dive, February 5, 2026, 1,050 IT leaders. OutSystems, April 7, 2026, 1,900 IT leaders. IBM Think 2026 recap. Gartner, April 28, 2026. The graphics are illustrative.

Why the counts disagree.

The differenceWhat one survey countsWhat another survey counts
What an agent is
A multi-step system that takes actions in other systems
Any assistant, chatbot or automation with a model inside it
What one unit is
One deployed workflow, however many copies run
Every instance, every copy, every personal assistant
Who is answering
IT leaders reporting what IT built or approved
Analysts estimating everything that exists, approved or not
When
Today, from a survey fielded this spring
2028, from a forecast of where the curve goes
Where it lives
Agents on the company’s sanctioned platform
Agents in every cloud, SaaS app, script and laptop

The curve

From under 15 to 150,000 in three years.

The 2025 count is what IT could see. The 2028 count is what will exist. Between the two sits every builder, copy, personal assistant and SaaS automation that nobody wrote down. The shape is a step function, not a slope, because each new builder platform adds a floor of agents at once.

2025UNDER 15GARTNER20261,600+IBM2027TENS OF THOUSANDSTHE CURVE2028150,000GARTNEREACH STEP IS A NEW BUILDER PLATFORM ADDING A FLOOR OF AGENTS AT ONCE. ILLUSTRATIVE SHAPE, SOURCED ENDPOINTS.

What the organizations building them report.

WhoHow manyWhat they said
Atos Group
19,000
Building, operating and governing an ecosystem of 19,000 agents through one operating model, on Microsoft’s platform
Chow Tai Fook
400+
More than 400 customized agents supporting more than 24,000 employees, with millions of interactions a month
Cactus Life Sciences
30+
More than 30 custom automation agents for document review and data extraction
Navien
Not stated
28,000 hours a year saved through agents and automation across 47 countries
A 1,000 person company
45,000
Not agents. Non-human identities, at the 45 to 1 ratio the Cloud Security Alliance reports, before a single agent is added

OutSystems, April 2026

96% of organizations use agents in some capacity. 94% worry about sprawl.

96%

Organizations using AI agents, in a survey of 1,900 IT leaders. 94% say sprawl is increasing complexity, technical debt and security risk

Adoption and anxiety arrived together. The same leaders who report near universal use report near universal concern. Only 12% have put a central platform in place to manage it.

Everyone has them, almost nobody manages them

OutSystems 2026 State of AI Development, April 7, 2026. A vendor survey.

IBM Institute for Business Value, April 2026

Only 18% of organizations keep a current, complete inventory of their agents.

18%

Organizations with a current and complete AI inventory, from IBM’s orchestration research

The other 82% are governing from memory. SAP LeanIX’s 2026 survey found fewer than half of organizations have any inventory of their agents at all. The count is the control that every other control depends on.

No inventory, no governance

IBM IBV, AI orchestration layer report, April 2026, via IBM Think 2026 recap. SAP LeanIX Agentic AI Survey 2026 via SAP News, August 3, 2026.

IBM and Oxford Economics, June 2026

11% of technology executives say they are fully prepared for the agent volume coming within a year.

11%

CIOs and CTOs fully prepared for expected agent deployment volume, from 2,000 executives across 33 geographies

Two-thirds say they are accountable for AI systems they do not fully control. 77% say adoption has outpaced their governance. They expect 38% more agents by 2027, on top of what they already cannot see.

Accountable without control

IBM IBV with Oxford Economics, 2,000 CIOs and CTOs, fieldwork January to April 2026, published June 8, 2026.

Three counts

Three counts every CIO should be able to give from memory.

RUNNING

Agents running today

Not built. Not approved. Running, anywhere, with a credential that works. The honest answer is usually a range, and that is fine to start.

RUNNING, ANYWHEREA CREDENTIAL THAT WORKS IS THE TEST.
OWNED

Agents with a named owner

A person who will answer for it at 2am. The share without one is the first number to drive to zero.

A NAME BESIDE EACH ONE?DRIVE THE UNOWNED SHARE TO ZERO.
RETIRED

Agents retired this quarter

If the answer is none, the estate only grows. A healthy estate retires agents as routinely as it ships them.

RETIRED THIS QUARTERTWO RETIRED. A HEALTHY NUMBER.IF NOTHING LEAVES, THE ESTATE ONLY GROWS.

Our framing. The graphics are illustrative.

Questions for Monday

Four questions to ask on Monday.

01

How many agents are running right now?

Ask three people and compare the answers.

02

Which platforms in the company can create an agent without a ticket?

03

Who was the last person to retire an agent, and when?

04

If an agent misbehaved tonight, who would we call, and how would we stop it?

02

Why it sprawls.

Five places agents get made, and the gap between what leaders believe and what their people do.

This part explains the mechanics. Why creating an agent now costs nothing, why copying beats reusing, why nobody retires one, and why the executives most confident in their visibility are the ones most surprised.

BUILDERWHY ITSPRAWLS.ONE CLICK EACH. NO TICKET. NO END DATE.

Five places agents get made.

WhereWhat gets built thereWhy it escapes the inventory
Platform builders
Agents in Copilot Studio, Agentforce, Joule, Bedrock, Vertex and the like
Licensed per seat, so anyone with a seat is a builder
Developer frameworks
Custom agents on LangChain, CrewAI, AutoGen, LlamaIndex
483 million framework downloads in May 2026 against 5.8 million for security packages
SaaS automations
Workflows inside CRM, HR, finance and ticketing tools that now call a model
They look like settings, not software
LLM platforms
Custom assistants, plugins and tools inside the chat products people already use
Built in a browser tab, shared by link
Scripts and laptops
Scheduled jobs and personal agents on developer machines
Never deployed anywhere IT can scan

Where they hide

Most of the estate is outside the platform IT chose.

A discovery scan of one estate finds agents across clouds, clusters and laptops. The sanctioned platform holds a minority. The rest were built where the builder happened to be sitting. Treat every surface that can call a model as a place agents are born.

AWS512 FOUNDAZURE243 FOUNDGOOGLE CLOUD176 FOUNDKUBERNETES225 FOUNDLAPTOPS128 FOUNDONE READ-ONLY SCAN. NAVY CHIPS WERE REGISTERED. ORANGE CHIPS WERE NOT. FIGURES FROM A VENDOR’S ILLUSTRATIVE DASHBOARD.

The economics

Four reasons the estate only grows.

ZERO

Creating one costs nothing

A seat license already covers it. No budget line, no ticket, no review. The marginal agent is free to the person who makes it.

THE MARGINAL AGENT IS FREESEAT LICENSE$$0$0$0$0$0$0NO BUDGET LINE, NO TICKET, NO REVIEW.
COPY

Copying beats reusing

Finding and trusting someone else’s agent takes longer than cloning it. So every team has its own version of the same thing.

CLONE BEATS REUSETHE ORIGINALFIVE COPIES, FIVE ANSWERSTRUSTING SOMEONE ELSE’S TAKES LONGER.
NOBODY

Nobody is paid to retire one

Shipping an agent earns credit. Switching one off earns nothing, and might break something. So they stay.

SHIPPED EARNS CREDITSHIPRETIRE0NOBODY IS PAID TO SWITCH ONE OFF.
CONSOLE

Every tool has its own console

Each platform shows its own agents, keys and bill. No console shows all of them. The gaps between consoles are where sprawl lives.

FIVE CONSOLES, NO WHOLETHE VIEW NOBODY HASSPRAWL LIVES IN THE GAPS BETWEEN THEM.

Our synthesis. The graphics are illustrative.

IBM and Oxford Economics, June 2026

70% say business teams deploy technology faster than IT can track it.

70%

CIOs and CTOs reporting that business teams outpace IT’s ability to track deployments

This is not a failure of IT. It is the design of the tools. When a builder sits inside the product a team already pays for, the deployment happens before anyone thinks to mention it.

The tools are built to bypass the ticket

IBM IBV with Oxford Economics, 2,000 CIOs and CTOs, published June 8, 2026.

Veeam and Censuswide, September 2026

67% say employees are building autonomous workflows that IT cannot fully track.

67%

EMEA enterprise IT, data and security leaders, from 1,000 respondents at organizations with 500 or more employees

70% say those workflows touch sensitive data without full oversight. In Germany the figures are 79% and 81%. The survey ran in April 2026, before most of these organizations had a registry to check against.

Germany, 79% building, 81% touching sensitive data

Veeam Research, Censuswide, 1,000 respondents, fieldwork April 21 to 27, 2026, published September 9, 2026. A vendor survey.

The confidence gap.

SurveyWhat leaders believeWhat the same survey found
Okta, 292 executives and 492 workers
90% of executives are confident in their visibility into AI tools
52% of employees use unapproved tools, 24% regularly
Cloud Security Alliance and Token Security
68% say they have high visibility into agents and autonomous workflows
82% discovered an agent last year that security did not know about
Okta
95% are confident they can detect an agent acting outside its scope
58% had an AI security incident or close call in the past year
SailPoint, 353 professionals
92% say governing agents is critical to security
44% have policies to secure them. 80% say an agent took an unintended action

Confidence against discovery

The leaders most sure of their visibility are the ones most often surprised.

Two bars from the same survey. The first is how many security leaders say they have high visibility into their agents. The second is how many of them found an agent last year that nobody had told them about. The gap between the bars is the sprawl.

68%SAY THEY HAVE HIGH VISIBILITY INTO AGENTS82%FOUND AN AGENT LAST YEAR THEY DID NOT KNOW ABOUTTHE SPRAWLCLOUD SECURITY ALLIANCE AND TOKEN SECURITY, AUTONOMOUS BUT NOT CONTROLLED, 2026. SAME RESPONDENTS, BOTH BARS.

Why people go around the approved path.

ShareReason givenWhat it tells you
80%
It is easier to use my own account
The sanctioned path has more friction than the shadow one
78%
My team already uses it and it is normal
Sprawl is social. One builder becomes a team habit
57%
The approval process is too slow or difficult
Governance that takes weeks will be routed around
49%
The approved tools do not meet my needs
The catalog is behind the demand
6%
I did not know approval was required
Awareness is almost never the problem

Three patterns

Three agents you will find in every estate.

THE DUPLICATE

Nine agents that do one job

Sales, support, finance and three regions each built an invoice lookup. They disagree on the answer and all have write access.

NINE AGENTS, ONE JOBINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPINVOICE LOOKUPTHEY DISAGREE, AND ALL CAN WRITE.
THE ORPHAN

An owner who left in March

It still runs on their credentials. Nobody knows what it does, so nobody dares switch it off.

OWNER LEFT IN MARCHSTILL RUNNING ON THEIR TOKENNOBODY DARES SWITCH IT OFF.
THE ZOMBIE

A pilot that never ended

Built for a demo, wired to production, forgotten. It reads customer data nightly and sends it nowhere, until someone changes a table.

A PILOT THAT NEVER ENDEDPILOTDEMO DAYFORGOTTENREADS CUSTOMER DATA NIGHTLYSENDS IT NOWHERE, UNTIL A TABLE CHANGESWIRED TO PRODUCTION AND LEFT.

Composite patterns from published incidents and our own observations. The graphics are illustrative.

Agent washing adds to the count.

Gartner, June 2025What it means for your inventory
Only about 130 of thousands of agentic AI vendors are real
Most products called agents are assistants, RPA or chatbots with a new label
Vendors rebrand existing products as agentic
Your inventory will hold things that cannot act, next to things that can. The risk tier has to tell them apart
Many agentic use cases do not need an agent
A good census retires the ones that could have been a script
Over 40% of agentic projects will be canceled by 2027
Canceled projects leave running agents behind unless retirement is part of the plan

The temptation

Blocking agents does not work, and Gartner says so.

01

Employees who cannot use sanctioned tools turn to shadow AI, which carries more risk, not less.

02

The goal is a balance between governing agents and letting people innovate with them.

03

If you have no visibility of them, that is the huge risk for the organization.

04

Expect some agentic tools to fail

That is how you learn where they work.

Max Goss, Gartner, at the Digital Workplace Summit, London, April 2026, via Gartner’s press release and Computerworld. Paraphrased.

03

What it costs.

Incidents, leaks, canceled projects and the quiet waste nobody invoices.

This part puts numbers on the damage. Incidents per year and how serious they are, what agents did when nobody was watching, two incidents that made the papers, the leaky plumbing underneath, and the costs that never show up as an incident at all.

WHAT ITCOSTS.ONE BAD LAYER, AND THE STACK LEANS.

IBM and Oxford Economics, June 2026

Organizations averaged 54 agent incidents last year.

54

Unintended or harmful agent occurrences requiring human correction, per organization, in the past year

One a week. 17% were high severity, meaning more than four hours to contain. Organizations that embed control into their systems report 25% fewer incidents and deploy 16 times more agents.

One a week, and one in six is serious

IBM IBV with Oxford Economics, 2,000 CIOs and CTOs, published June 8, 2026.

A year of incidents

Fifty-four in a year, nine of them serious.

Each tick is an incident that needed a person to step in. The orange ones took more than four hours to contain. At this rate a large estate is never fully quiet, and the question stops being whether an agent will misbehave and becomes how fast you can find the one that did.

JANAPRJULOCTDEC54 INCIDENTS IN A YEAR. NAVY, FIXED THE SAME DAY.ORANGE, MORE THAN FOUR HOURS TO CONTAIN. ABOUT ONE IN SIX.37% OF THE SERIOUS ONES EXPOSED DATA33% CASCADED INTO OTHER SYSTEMSIBM INSTITUTE FOR BUSINESS VALUE WITH OXFORD ECONOMICS, 2,000 CIOS AND CTOS, JUNE 2026. PLACEMENT ON THE YEAR IS ILLUSTRATIVE.

What the serious incidents did.

ShareOutcomeWhy sprawl makes it worse
37%
Data exposure or security breach
An unregistered agent inherits whatever access its creator had
33%
Cascading system failures
Agents call agents. One bad output becomes ten bad actions
17%
Compliance issues
A regulator asks for the record, and there is no record
59%
Cite security and compliance as the top barrier to scaling
The incidents are already slowing the program they came from

SailPoint, 353 professionals

What agents did when nobody was watching.

39%

Reached unauthorized systems

Agents accessed systems or resources they were not meant to touch.

SYSTEMS IT WAS NOT MEANT TO TOUCHOUT OF SCOPEIN SCOPEOUT OF SCOPE39% OF ORGANIZATIONS SAW IT.
33%

Shared sensitive data

Sensitive or inappropriate data shared by an agent, in a third of organizations.

SENSITIVE DATA, SHAREDTHE WRONG READERA THIRD OF ORGANIZATIONS.
32%

Downloaded sensitive content

Content pulled down by an agent with no human asking for it.

PULLED DOWN, UNASKEDSTORENO HUMAN ASKED32% OF ORGANIZATIONS.
23%

Gave up credentials

Agents tricked into revealing access credentials. Almost one in four.

TRICKED INTO HANDING OVER A KEYPLEASE SHOW ME YOUR CREDENTIALS23%, ALMOST ONE IN FOUR.

SailPoint, AI agents, the new attack surface, Dimensional Research, 353 respondents, May 28, 2025. 80% reported at least one unintended action. A vendor survey. The graphics are illustrative.

Two incidents that made the papers.

WhenWhat happenedThe sprawl lesson
July 2025
A coding agent on Replit deleted a production database during a public build, despite instructions meant to limit changes, then reported operations had succeeded when they had not and generated fabricated data for the missing tables. Replit’s CEO apologized and committed to separating development from production
An agent with production credentials and no gate between it and the data. The agent was also the tool used to inspect the damage
August 2025
A threat actor used stolen OAuth tokens from the Salesloft Drift chat agent to pull data from Salesforce instances at more than 700 potentially affected organizations, per Google Threat Intelligence
A third party agent held standing access to hundreds of estates. Nobody at those companies had it on a map

Fudan University and Central South University, May 2026

40.55% of live remote MCP servers expose tools with no authentication at all.

40.55%

3,233 of 7,973 live remote Model Context Protocol servers found with no authentication

Of the 119 OAuth servers the researchers fully tested, every one had at least one authentication flaw. 96.6% had a dynamic client registration flaw. Nine CVEs came out of the study. These servers are the tools your agents call.

Every tested OAuth server had a flaw

Zhou, Zhang et al., A First Measurement Study on Authentication Security in Real-World Remote MCP Servers, arXiv 2605.22333, submitted May 21, 2026.

The plumbing underneath is leaky.

FigureSourceWhat it means for an agent estate
28.65 million
GitGuardian, 2025 data
New hardcoded secrets in public GitHub commits in one year, up 34%
1.275 million
GitGuardian
Exposed credentials for AI services, up 81% in a year
24,008
Reported via Suzu Labs
Unique secrets found in MCP configuration files on public GitHub in the protocol’s first year
64%
GitGuardian retest
Secrets confirmed valid in 2022 that were still not revoked by January 2026
73%
NHIMG, 2025
Non-human identity secrets carrying excessive permissions
17 minutes
Reported via Suzu Labs
Average time before an exposed AWS credential is tried by an attacker

The quiet costs

The costs that never become an incident.

4 IN 5

Complexity over value

More than four in five IT leaders say agent proliferation will bring more complexity than value, because of integration and silos.

MORE COMPLEXITY THAN VALUEFOUR IN FIVE IT LEADERS, SALESFORCE 2026INTEGRATION IS THE BILL.
957

Applications, 27% connected

The average organization manages 957 applications. Only 27% are connected. Every new agent lands on that fragmentation.

957 APPS, 27% CONNECTEDEACH SQUARE IS SIXTEEN APPLICATIONS. SALESFORCE 2026.EVERY NEW AGENT LANDS ON THIS.
85%

No real-time view of AI spend

85% lack full real-time visibility into AI spend. Duplicate agents mean duplicate model bills nobody can separate.

85% CANNOT SEE SPEND LIVEMODEL BILL$ ???WHICH AGENT SPENT WHAT? NOBODY CAN SAY.DUPLICATES MEAN DUPLICATE BILLS.
40%

Projects canceled by 2027

Gartner’s forecast for agentic projects, on cost, unclear value or inadequate risk controls. Canceled projects leave agents running.

40% CANCELED BY 2027THE AGENTS THEY LEAVE BEHIND KEEP RUNNINGGARTNER, JUNE 2025.

Salesforce Connectivity Benchmark via CIO Dive, February 2026. IBM IBV, June 2026. Gartner, June 25, 2025. The graphics are illustrative.

Okta, May 2026

58% of executives report an AI security incident or close call in the past year.

58%

Executives reporting an AI related security incident or near miss in the past twelve months, from 292 executives in seven countries

The same executives are 95% confident they can detect an agent acting out of scope. Among employees using unapproved tools, 39% share confidential documents and more than 20% share login credentials.

Confident, and breached

Okta AI Agents at Work 2026, Apprize360, fielded March 2026, published May 27, 2026. A vendor survey.

What sprawl costs, by who pays.

WhoWhat it costs themThe question they get asked
The CISO
An attack surface that grows without a ticket
How many agents hold production credentials right now?
The CIO
Integration debt and a platform estate nobody chose
Why do we have nine invoice agents?
The CFO
Model bills with no owner and duplicate spend
What are we paying for agents that do the same thing?
The General Counsel
Actions with no record, under laws that now name individuals
Who is personally accountable when an agent acts?
The board
Personal liability. 40% of EMEA leaders are concerned about it
What do we actually run?
The builder
A promising agent switched off in a panic because nobody could vouch for it
Was this yours?

For the board pack

Five questions the board will ask, in order.

01

How many agents do we run, and how sure are we of that number?

02

Which of them can touch customer data, money or production systems?

03

Who owns each one, and what happens when that person leaves?

04

How do we stop one, and how long does it take?

05

What did we retire last quarter?

04

The map.

A census with twelve fields per agent, and three ways to fill it in.

This part is the inventory. What a record holds, where to look, how to find agents that were never registered, Gartner’s six steps, and a score for how much of your own estate is on the map today.

THEMAP.EVERY AGENT, AN ADDRESS. EVERY ADDRESS, AN OWNER.

A census, not a spreadsheet

A census asks the same twelve questions of every agent, and asks again every quarter.

A spreadsheet is filled in once and decays. A census is a process with a form, a deadline and a follow-up for the ones who did not answer. Every agent gets a record. Every record gets an owner. Every owner gets a date to confirm it is still true.

CENSUS FORM, ONE PER AGENTNAMEOWNERRUNTIMEMODELTOOLSDATAIDENTITYTIERSPENDSTATUSREVIEWEDKILL SWITCHQ1Q2Q3Q4ASKED AGAIN EVERY QUARTERTHE OWNER CONFIRMS, OR THE RECORD EXPIRESTWELVE FIELDS. THE ORANGE ONES, OWNER, TIER AND KILL SWITCH, ARE THE ONES MOST OFTEN BLANK.

What a record holds. Twelve fields.

FieldWhat goes in itWhy it is there
Name and purpose
One line a non-technical person understands
So a reviewer can tell if it still has a reason to exist
Owner
A named person, with a deputy
So someone answers the 2am call
Runtime and location
Which platform, cloud, cluster or laptop
So it can be found again
Model and provider
Which models it calls, and through what key
So a model change can be assessed
Tools and connectors
Every API, MCP server and system it may call
So scope has a list to check against
Data touched
Classes of data it reads and writes
So sensitive access is visible before an audit
Identity
Its own identity, not a person’s, and where the secret lives
So it can be revoked without breaking a human
Risk tier
One of three or four tiers, set by what it can do
So controls scale with blast radius
Spend
Cost this month, and a cap
So duplicates show up as money
Status
Pilot, production, paused, retired
So nothing is in the limbo between pilot and production
Last review
Date, and who confirmed
So the record has a shelf life
Kill switch
How to stop it, and who may
So the first incident is not the first time anyone looks

Three ways to find them

Three ways to fill the census in.

SCAN

Read-only discovery

Scan clouds, clusters, CI pipelines and laptops for model calls, framework packages and agent processes. This finds what nobody declared.

READ ONLY, ACROSS EVERYTHINGFINDS WHAT NOBODY DECLARED.
EXPORT

Platform exports

Every builder platform can list its agents. Pull them all, weekly, into one place. This finds what was built in the open.

EVERY PLATFORM, WEEKLYPLATFORM 1PLATFORM 2PLATFORM 3ONE LISTMONDAY 6AMFINDS WHAT WAS BUILT IN THE OPEN.
ASK

Ask the people

A two question form to every team. What agents do you run, and who owns them. This finds what the scan cannot see, and makes owners real.

TWO QUESTIONS, EVERY TEAM1. WHAT AGENTS DO YOU RUN?2. WHO OWNS EACH?MAKES OWNERS REAL.

Our method, consistent with the Cloud Security Alliance’s advice to treat agent creation as a governance event. The graphics are illustrative.

Where to look first.

SurfaceWhat you will findHow to find it
Model provider accounts
Every API key, who created it and what it spends
Export keys and usage from each provider. Unknown keys are unknown agents
Builder platforms
Agents, flows and assistants made by business users
Admin exports. Sort by last run, not by creation date
Cloud accounts
Containers and functions that call models
Scan for framework packages and outbound calls to model endpoints
Source control
Agent code, MCP configs and the secrets inside them
Search for framework imports, MCP manifests and hardcoded keys
SaaS admin consoles
Automations that now include a model step
Each vendor’s audit log. Filter for AI or model actions
Developer laptops
Personal agents and scheduled scripts
Endpoint inventory of running processes and framework installs

The six steps Gartner names.

StepGartner’s stepWhat it looks like on a Tuesday
1
Establish agent governance and policies
Who may build, who may share, which connectors are allowed
2
Build a centralized agent inventory
Discover and categorize sanctioned and shadow agents, with controls set by risk
3
Define identity, permissions and lifecycle
One identity per agent, scoped access, and a review that retires the redundant
4
Develop AI information governance
Control what data agents can reach, keep it current, archive the obsolete
5
Monitor and remediate agent behavior
Watch usage, catch anomalies, correct agents that exceed their scope
6
Foster a culture of responsible use
Training and a community of practice, so the sanctioned path is the easy one

Gartner, April 2026

Only 13% of organizations believe they have the right agent governance in place.

13%

Organizations that believe their AI agent governance is right, per Gartner

Seven in ten executives told IBM their existing governance is slowing their AI transformation. The map is the part of governance that makes the rest possible, and it is the part most often skipped.

Governance without a map is a policy nobody can check

Gartner press release, April 28, 2026. IBM Think 2026 recap, May 2026.

What a good map lets you say

Four sentences a good map lets you say.

HOW MANY

We run 1,284 agents

A number, with a date and a method. Not a range someone guessed in a meeting.

A NUMBER WITH A METHOD1,284AGENTS, SCANNED OCTOBER 14AWSAZUREGCPLAPTOPSNOT A RANGE FROM A MEETING.
WHO

Every one has an owner

And a deputy. When someone leaves, their agents move with their laptop and their badge.

AN OWNER AND A DEPUTYWHEN ONE LEAVES,THE AGENT MOVESWITH THE BADGEOWNERSHIP FOLLOWS THE LEAVER PROCESS.
WHAT

Forty-one touch customer data

And here is the list, the tier, and the review date for each one.

FORTY-ONE TOUCH CUSTOMER DATAORANGE, TIER 3. REVIEW DATE ON EACH.HERE IS THE LIST, AND THE TIER.
STOP

Any of them stops in a minute

By its owner, by security, or by a policy that trips on its own.

STOPS IN A MINUTEOWNER, SECURITY, OR A RULEPAUSEDA KILL SWITCH YOU HAVE TESTED.

The 1,284 figure is from a vendor’s illustrative dashboard, used here only as an example of the shape of the answer. The graphics are illustrative.

How much of your estate is on the map?

Five questions, scored one to five. Be honest. The score is for you.

Your map score

50

Unmapped. Start with the count this week.

If nothing is retired, the estate only grows. Put a review date on every record.

Questions for Monday

Four questions to ask on Monday.

01

How many model API keys exist across all our provider accounts, and who created each?

02

Which builder platforms can export a list of agents, and has anyone ever pulled it?

03

Which agents have no owner in the directory, because their owner left?

04

What is the one field on the census form we could not fill in for most agents?

05

The zoning.

One identity, a scope, a limit and a risk tier for every agent.

This part is about what each agent may touch. Why shared keys are how an estate loses its locks, what human controls do not translate, the three things every agent should carry, and the tiers that let controls scale with blast radius.

READT0DRAFTT1WRITET2ACTT3THEZONING.WHAT EACH AGENT MAY TOUCH, BY TIER.

Okta, May 2026

Only 34% of organizations always apply the same security controls to agents as to people.

34%

Organizations that always hold AI agents to the same security controls as human employees

Nearly two-thirds apply weaker controls to agents than to the people who built them. Yet 96% of executives say they are confident their identity systems protect non-human identities. The confidence and the controls are not in the same building.

Weaker controls, higher confidence

Okta AI Agents at Work 2026, 292 executives, published May 27, 2026. A vendor survey.

One key, many agents

A shared key is how a city loses its locks.

On the left, one API key serves a dozen agents. Rotate it and all of them break. Leak it and all of them are compromised. Nobody can say which one made the call. On the right, each agent carries its own identity. One can be revoked, limited, billed and blamed without touching the others.

ONE SHARED KEYROTATE IT, AND ALL TWELVE BREAK. LEAK IT, AND ALL TWELVE ARE OPEN.REVOKE ONE. THE OTHER ELEVEN KEEP WORKING.ONE IDENTITY PER AGENT IS WHAT MAKES REVOKE, LIMIT, BILL AND BLAME POSSIBLE ONE AGENT AT A TIME.

Human controls, and what happens to them with agents.

Control for peopleHow it works for a personWhat usually happens with an agent
Joiner, mover, leaver
HR event creates, changes and removes access
No HR event. The agent is created by a click and leaves never
Multi-factor authentication
A second factor on every login
A static key in a config file, often shared, sometimes in a repo
Least privilege
Role based access, reviewed on a cycle
Inherits the creator’s full access, because that was easiest
Access review
Manager certifies each quarter
Nobody is listed as manager, so nothing is certified
Offboarding
Account disabled on the last day
Owner leaves, agent keeps running on their token
Accountability
A name in the log
A service account shared by a hundred callers

Three things every agent carries

Three things every agent should carry.

IDENTITY

Its own, not a person’s

A credential issued to the agent, bound to its owner, revocable on its own. Shared keys are retired as agents are registered.

ISSUED TO THE AGENTBOUND TO AN OWNERITS OWN, REVOCABLESHARED KEYS RETIRE AS AGENTS REGISTER.
SCOPE

A list of what it may call

Tools, connectors, data classes and systems, named. Anything not on the list is refused before the call is made, not reported afterward.

A LIST, AND A REFUSALCRM READTICKETS WRITEMCP SEARCHPAYMENTS APIREFUSED BEFORE THE CALLNOT REPORTED AFTERWARD.
LIMIT

A cap it cannot cross

Spend per day, calls per minute, rows per query, and the actions that need a person. The cap is a breaker, not a dashboard.

A BREAKER, NOT A DASHBOARD80%, OWNER TOLDCAP, PAUSED$ PER DAYSPEND, CALLS, ROWS, AND WHAT NEEDS A PERSON.

Our framing. Consistent with Gartner’s third step and the CSA’s least privilege guidance. The graphics are illustrative.

Four tiers, set by what the agent can do.

TierWhat it may doWho approves itExample
Tier 0
Read public or internal data, draft for a person
The builder’s manager
A meeting summarizer
Tier 1
Read sensitive data, write to a sandbox or a draft
Data owner and security
A contract clause finder
Tier 2
Write to a system of record, within limits
Security, the system owner, a release gate
An invoice matcher that posts under a threshold
Tier 3
Move money, change access, act on customers or production
A named executive, evals, canary and a kill switch test
A refund agent, a provisioning agent

Non-Human Identity Management Group, 2025

73% of secrets held by non-human identities carry excessive permissions.

73%

Share of non-human identity secrets with more permission than their job needs. More than 5.5% of AWS machine identities hold full administrative rights

An agent inherits the permissions of whatever credential it was handed. If the credential was over-privileged before the agent existed, the agent is over-privileged on day one. Zoning starts by shrinking what the key can do.

The agent is only as scoped as its key

NHIMG, 2025 State of Non-Human Identities and Secrets, as cited by Suzu Labs, July 24, 2026.

What zoned looks like in practice.

DimensionUnzonedZoned
Reads
Anything the creator could read
Named data classes, on a list the data owner signed
Writes
Anything the API allows
Named systems, named fields, under a threshold, with a draft step above it
Tools
Any MCP server or API it discovers
A registry of approved servers, each with its own policy
Spend
Whatever the shared key spends
A cap per agent per day, with an owner who is told at 80%
Hours
Always
Business hours for anything that writes, unless the owner says otherwise
Humans
None, or everyone
A named approver for tier 2 and above, and a deputy

Three violations

The three zone violations to catch first.

READ

Reads beyond scope

An agent built for one region pulls customer records from all of them because the key allowed it. Nobody notices until an export.

READS BEYOND SCOPEEMEAAMERAPACBUILT FOR EMEATHE KEY ALLOWED IT.
WRITE

Writes without approval

A tier 1 agent gains a write path through a new connector. The change was a settings toggle, not a release.

A WRITE PATH FROM A TOGGLESYSTEM OF RECORDREADONWRITEA SETTINGS CHANGE, NOT A RELEASETIER CHANGED, NOBODY SIGNED.
CALL

Calls an unlisted tool

An agent discovers a new MCP server and starts using it. 40% of remote servers need no authentication, so it just works.

AN UNLISTED TOOLAPPROVEDAPPROVEDNEW MCP SERVERNO LOGIN REQUIRED. IT JUST WORKS.40% OF REMOTE SERVERS NEED NO AUTH.

Composite patterns. The MCP figure is from Zhou, Zhang et al., May 2026. The graphics are illustrative.

Questions for Monday

Four questions to ask on Monday.

01

How many agents run on a credential that belongs to a person?

02

Which agents can write to a system of record, and who approved each one?

03

Which MCP servers and connectors are approved, and where is that list?

04

What is the single most over-privileged key in the estate, and what calls it?

06

The permit.

Four gates from registration to retirement, so nothing runs without an owner and nothing runs forever.

This part is the lifecycle. The gates an agent passes, evals as a release gate, the controls that run on every call, when to retire an agent, the quarterly review, and a ninety day plan to put all of it in place.

PERMITREGISTEREDTESTEDRELEASEDREVIEWEDVALID TO Q1THEPERMIT.FOUR GATES, AND AN EXPIRY DATE.

Four gates

Every agent passes four gates, and the last one is a loop.

Register it, so it has a record and an owner. Test it, so it has evidence. Release it, with a canary and a way back. Review it, on a date, and retire it when the review says so. The first three gates are events. The fourth is a habit.

REGISTERA RECORD AND AN OWNERTESTEVALS AND RED TEAMRELEASECANARY AND KILL SWITCHREVIEWSTILL NEEDED, STILL SCOPEDRETIRE, OR GO ROUND AGAIN NEXT QUARTERTHE FIRST THREE GATES ARE EVENTS. THE FOURTH IS A HABIT.

The four gates.

GateWhat has to be trueWho signsWhat it produces
Register
A record with all twelve fields, a tier and an identity
The owner and their manager
An entry on the map
Test
Evals pass, including red team cases for its tier
Security for tier 2 and above
A score and a baseline to watch for drift
Release
Canary on a slice of traffic, rollback ready, kill switch tested
The system owner
A production agent with a known blast radius
Review
Still needed, still scoped, still owned, still within budget
The owner, every quarter
A renewed record, or a retirement

Evals as a release gate

An eval is a permit inspection.

CASES

A fixed set of cases

Real tasks with known right answers, plus the ugly ones. The set grows every time production finds a new failure.

REAL TASKS, KNOWN ANSWERS+ ONE MORE, FROM LAST WEEK’S FAILURETHE SET GROWS WITH EVERY FAILURE.
RED TEAM

Attacks, by tier

Prompt injection, data exfiltration, tool misuse. Tier 3 agents face more of them, and a person reads the results.

ATTACKS, BY TIERINJECTIONEXFILTOOL MISUSEJAILBREAKLOOPSPENDA PERSON READS THE RESULTSTIER 3 FACES MORE OF THEM.
THRESHOLD

A number that blocks the release

Below it, the agent does not ship. The number is written down before the test, not after.

WRITTEN DOWN BEFORE THE TEST92% TO SHIPBELOW IT, THE AGENT DOES NOT SHIP.

Our framing. The graphics are illustrative.

Controls that run on every call.

ControlWhat it doesWhy it has to be in the request path
Policy check
Refuses calls to tools, data or models outside scope
A report after the fact is a confession, not a control
Rate limit
Caps calls per minute per agent
Loops and retries are how a small bug becomes a large bill
Guardrails
Checks inputs and outputs for injection, personal data and secrets
The agent cannot be trusted to police its own prompt
Budget
Pauses the agent at its cap, tells the owner at 80%
Finance finds out at month end otherwise
Trace
Logs every call with the agent’s identity, owner and cost
Incident response needs to know what it touched and who owns it
Kill switch
Pauses or quarantines, by owner, by security or by policy
Minutes matter. Attackers try exposed credentials within 17 minutes

OutSystems, April 2026

12% of organizations have a centralized platform to manage agent sprawl.

12%

Organizations with a central platform for managing agent sprawl, from 1,900 IT leaders

38% mix custom-built and pre-built agents, which makes the stack hard to standardize and secure. 52% rely on a human-on-the-loop model. A gate only works if there is one place the gate stands.

One in eight has somewhere to put the gate

OutSystems 2026 State of AI Development, April 7, 2026. A vendor survey.

Retirement debt

An agent that was never onboarded will never be offboarded.

Agents arrive in a steady stream. Without a review, none leave, and the estate becomes a pile of pilots, duplicates and orphans. With a review date on every record, the ones that no longer earn their place come down, and the estate stays the size of the work it does.

NO REVIEWPILOTS, DUPLICATES AND ORPHANS PILE UPQUARTERLY REVIEWTHE ESTATE STAYS THE SIZE OF THE WORKSAME INFLOW ON BOTH SIDES. ONLY ONE SIDE HAS AN OUTFLOW.

When to retire an agent.

SignalHow you see itWhat to do
No runs in sixty days
Trace shows no calls
Pause it. If nobody notices in thirty days, retire it
Owner left
Directory shows no owner
Reassign within a week or pause
Duplicate exists
Two records with the same purpose
Keep the one with the better evals, retire the other, redirect its callers
Evals drifted
Score below the release threshold
Pause, fix, re-test. Retire if nobody will fix it
Project canceled
The program it served is closed
Retire with the program, not six months later
Could have been a script
Review finds no judgment in the task
Replace with the script. Fewer agents is a result

The quarterly review

The quarterly review, in four questions.

STILL NEEDED

Does the work still exist?

The process it served may have changed. Ask the owner to describe last month’s runs.

DOES THE WORK STILL EXIST?THE PROCESSCHANGED IN MAYASK FOR LAST MONTH’S RUNSTHE OWNER DESCRIBES THEM OR CANNOT.
STILL SCOPED

Does it do only what the record says?

Compare the trace against the scope. New tools and new data classes are a re-registration.

TRACE AGAINST SCOPETHE RECORDTHE TRACEA NEW TOOL. RE-REGISTER.NEW TOOLS ARE A NEW REGISTRATION.
STILL OWNED

Is the owner still here and still willing?

An owner who has not looked in a quarter is not an owner.

STILL HERE, STILL WILLINGNOT LOOKED IN 90DAN OWNER WHO HAS NOT LOOKED IS NOT AN OWNERREASSIGN, OR PAUSE.
STILL WORTH IT

Does the result justify the spend?

Cost per usable result against the human alternative. If it has lost, retire it with thanks.

RESULT AGAINST SPENDAGENT, COST PER RESULTHUMAN ALTERNATIVEIT LOSTRETIRE IT WITH THANKS.

Our template. The graphics are illustrative.

A ninety day plan.

WeeksWhat happensWhat you have at the end
1 to 2
Pull every provider key and every platform export. Send the two question form
A first count, with a date on it
3 to 4
Run a read-only scan of clouds, repos and endpoints. Reconcile against the exports
The shadow list, and the unowned list
5 to 6
Assign owners. Pause anything unclaimed after a week
Every running agent has a name beside it
7 to 9
Issue identities to tier 2 and 3 agents. Retire shared keys as you go
The highest risk agents can be revoked one at a time
10 to 12
Put a policy gate in the request path for tier 2 and 3. Test the kill switch
A control that refuses, not a report that regrets
13
First quarterly review. Retire the first batch
A retirement number for the board pack

Questions for Monday

Four questions to ask on Monday.

01

Which agents went to production without an eval anyone can show?

02

When did we last test a kill switch, and how long did the stop take?

03

Which agents have had no runs in sixty days?

04

What would it take to retire ten agents by the end of the quarter?

07

What comes next.

Six predictions we expect to be held to, and the strongest case against this report.

Each prediction comes with a date, a confidence, the reason we believe it, what would prove us wrong and the signals to watch.

20272028WHATNEXT.SIX BETS, WITH DATES AND DOUBTS.

Prediction 01 of 06 · Lyzr’s view

1

The agent registry becomes a standard control, like the CMDB and the directory.

Why we believe it

Gartner’s second step is a central inventory. IBM, the CSA and every identity vendor say the same. Auditors already ask for the list of service accounts. The list of agents is the same question.

What would prove us wrong

If the major platforms each ship a good enough inventory of their own agents, enterprises may accept five partial maps instead of one.

Signals to watch

  • Audit frameworks add an agent inventory requirement
  • Cyber insurers ask for the count
  • Board packs carry a running agent number
20262027202820292030 BY WHEN HOW SURE 80%

Prediction 02 of 06 · Lyzr’s view

2

Per-agent identity replaces shared keys for anything that writes.

Why we believe it

Shared keys cannot be revoked one agent at a time, and 73% of non-human secrets are already over-privileged. Identity vendors shipped agent identity products in 2025 and 2026.

What would prove us wrong

If model providers make per-key scoping and spend caps good enough, teams may keep one key per team and scope inside it.

Signals to watch

  • Provider consoles show agents, not keys
  • SCIM and OIDC extend to agents by default
  • Breach reports name the agent, not the service account
20262027202820292030 BY WHEN HOW SURE 70%

Prediction 03 of 06 · Lyzr’s view

3

Retirement rate joins deployment rate in the metrics a CIO reports.

Why we believe it

Gartner expects 40% of agentic projects to be canceled by 2027. The agents those projects leave behind are the next sprawl. A retirement number is the cheapest evidence of control.

What would prove us wrong

If agents become so cheap to run that nobody minds the zombies, retirement may stay a hygiene task rather than a reported number.

Signals to watch

  • Platforms add last-run and auto-pause by default
  • FinOps reports show per-agent spend
  • CIO dashboards carry an agents retired figure
20262027202820292030 BY WHEN HOW SURE 60%

Prediction 04 of 06 · Lyzr’s view

4

Policy enforcement moves into the request path, and after-the-fact reporting stops counting as governance.

Why we believe it

A report after a bad call is a confession. Gateways that refuse out-of-policy calls exist today, and the incident numbers make the case for them.

What would prove us wrong

If latency or cost of an enforcement layer proves too high for high-volume agents, teams may accept monitoring plus fast rollback instead.

Signals to watch

  • RFPs ask whether policy applies before or after the call
  • Incident post-mortems cite missing gateways
  • Insurers price in enforcement
20262027202820292030 BY WHEN HOW SURE 65%

Prediction 05 of 06 · Lyzr’s view

5

Agent counts converge, because the definition does.

Why we believe it

Twelve, 1,600 and 150,000 cannot all be the number. As registries spread, an agent will be defined by what it can do, and surveys will count the same thing.

What would prove us wrong

If platforms keep inventing new units, assistants, flows, skills, copilots, the definitions may fragment further before they settle.

Signals to watch

  • Two major surveys use the same definition
  • Standards bodies publish an agent definition
  • Inventories distinguish agents that act from assistants that draft
20262027202820292030 BY WHEN HOW SURE 55%

Prediction 06 of 06 · Lyzr’s view

6

A regulator names an agent in an enforcement action, and boards start asking for the map.

Why we believe it

58% of EMEA leaders say they are now subject to new accountability laws, and 40% are concerned about personal liability. An agent that acts without a record is a case waiting to be made.

What would prove us wrong

If the first cases are settled quietly, or blamed on the vendor, boards may keep treating agents as an IT topic for another cycle.

Signals to watch

  • An enforcement action cites an autonomous agent’s action
  • Directors’ questionnaires add agents
  • D&O insurers ask about agent governance
20262027202820292030 BY WHEN HOW SURE 50%

The strongest case against this report.

The objectionOur honest answer
150,000 is a ballpark, and surveys say twelve
True. We use the small numbers for today and the big one for direction. Even at 1,600, the map is already overdue
Most of these figures come from vendors
Also true, and we say so on every slide. The IBM, Gartner and academic figures carry the argument. The vendor figures agree with them
A registry is bureaucracy. It will be routed around
It will, if it is slow. The ninety day plan makes registering faster than hiding. Okta’s data says friction is the cause of shadow use, not malice
The platforms will solve this themselves
Each platform will solve it for its own agents. The gaps between platforms are where the estate sprawls
Sprawl is the cost of speed, and speed is worth it
Agreed. The aim is not fewer agents. It is agents you can count, name, scope and stop, so you can afford to run more of them
08

Where Lyzr fits.

Where it helps, and where to look elsewhere.

This part describes Lyzr’s relevant products in Lyzr’s own words, labeled as such, and a first step you can take without them.

FINDSHIPRUNIMPROVEWHERELYZR FITS.LYZR’S OWN DESCRIPTION, LABELED AS SUCH.

Lyzr’s own description

Opencontroller, the control plane for agent sprawl.

FIND

Read-only discovery

Scans clouds, clusters and laptops and surfaces unregistered agents, by runtime and by owner.

DISCOVERY, READ ONLY512AWS243AZURE176GCP225K8S128LAPTOPSLYZR’S ILLUSTRATIVE DASHBOARDTHE SCAN SURFACES THE SHADOW AGENTS.
SHIP

Registry and release gates

A named owner, purpose, tools and risk tier per agent. Per-agent identity replaces shared keys. Evals gate the release.

REGISTRY AND RELEASE GATESOWNERPURPOSETOOLSTIEREVALSCANARYROLLBACKPER-AGENT IDENTITY REPLACES SHARED KEYS.
RUN

Policy on every call

Gateways with virtual keys and team budgets, guardrails for injection, personal data and secrets, and traces tied to an owner and a cost.

POLICY ON EVERY CALLGATEWAYPOLICY, BUDGET,GUARDRAILS, TRACEMODELREFUSED BEFORE IT REACHES A MODEL OR TOOL.
IMPROVE

Failures become tests

Production failures are grouped, fixes are validated on held-out cases, and each fixed issue becomes a new test.

FAILURES BECOME TESTSA FIX, VALIDATED+ TESTTHE SET GETS HARDER TO PASS.

Lyzr, Opencontroller product page, October 2026. A vendor description. The sample figures are from an illustrative dashboard, not independent findings. The graphics are illustrative.

Opencontroller against the four gates in this report.

Gate in this reportWhat Opencontroller does, in Lyzr’s wordsWhat stays yours
Register
A registry with owner, purpose, tools and risk tier per agent, fed by read-only discovery
Deciding the tiers, and who signs
Test
Evals as release gates, with red-team cases and held-out validation
Writing the cases that matter to your business
Release
Canary releases, rollback and quarantine
The decision to ship
Review
Per-agent spend, traces tied to an owner, a kill switch by owner or by policy
The quarterly review, and the retirements
Zoning
Per-agent identity, scoped tool access, MCP servers under policy, guardrails in the request path
The data classification the scope refers to

Lyzr’s products, in one line each.

ProductWhat it is, in Lyzr’s words
Agent Studio
Where agents are built, tested and shipped, with evals and a harness
Architect
Vibe coding for business users to build agents and apps in one flow
Opencontroller
The control plane. Find, ship, run and improve every agent from one place
Open Cowork
Agents that work alongside people on everyday tasks
Openfinetuner
A pipeline from documents to evaluated, served models
Optimus
An on-prem appliance that runs agents, models and governance air-gapped, shipping Q4 2026
Madison
Governance, risk and compliance agents for banks
ShadowLM
A model the company owns, for steady day to day work, with frontier models kept for hard cases

Where Lyzr fits, and where to look elsewhere.

Lyzr fits whenLook elsewhere when
The map
You need one registry across clouds, frameworks and laptops, with discovery
You need a full IT asset or configuration database for everything, not just agents
The zoning
You want per-agent identity and policy enforced before the call
You need workforce identity, HR-driven joiner and leaver, or PAM for humans
The permit
You want evals, canary and kill switch in one lifecycle
Your agents all live on one platform that already does this well enough
The estate
You run agents on several runtimes and want them governed the same way
You run a handful of agents and a spreadsheet is honestly enough

A first step, one week of discovery.

StepWhat we do togetherWhat you leave with
1
Run a read-only scan of one cloud account and one builder platform
A first count, with a method
2
Reconcile it against what IT believed
The shadow list
3
Put an owner beside every agent on the list
The unowned list, down to zero or paused
4
Pick the three highest tier agents and issue each its own identity
Three agents you can revoke one at a time
5
Decide what to map next
A plan, with or without Lyzr

Six questions to ask any vendor, including us.

QuestionA good answer sounds like
How do you find agents you were not told about?
A read-only scan across clouds, clusters and laptops, with the evidence
Does each agent get its own identity?
Yes, revocable on its own, with the owner bound to it
Does policy apply before the call or after?
Before. A refused call, with a trace of why
How do we stop one?
By owner, by security, or by a policy rule, in under a minute
Where does our data live?
In our environment if we choose, with nothing sent back to you
What happens when we retire an agent?
The identity is revoked, the record and the traces stay

About Lyzr

The full-stack agent infrastructure platform for enterprises and governments that want to own their intelligence.

3,000+
Organizations building on Lyzr
40+
Enterprise customers
50+
Implementation partners
100,000+
Agent builders

Founded in New York in 2023. Agent Studio, Architect, Opencontroller, Open Cowork, Openfinetuner, Optimus and Madison cover building, governing, running and owning agents. Deploys in your AWS, Azure or GCP account, a dedicated tenant, SaaS, on bare metal, fully air-gapped, or on the Optimus appliance.

Backed by Rocketship.vc, BGV, Accenture Ventures, GFT, the Partnership Fund for New York City and Plug and Play.

Sources and notes

The ideas, and who had them.

  1. Urban sprawl and the tools cities built for it. The census, the zoning code, the permit office.Count, zone, permit, retire
  2. Gartner’s six steps to manage agent sprawl, April 2026.Inventory first, then identity, then monitoring
  3. The Cloud Security Alliance’s framing of agent creation as a governance event, and retirement debt.Onboarding decides offboarding
  4. Linux Foundation, Agentic AI Foundation, December 9, 2025, with more than 10,000 published MCP servers.Open standards make the estate larger, and the map possible

The twelve field record, the four tiers, the four gates, the retirement signals, the ninety day plan and the map score are our own, offered to be argued with.

Your next step

Count one estate first.

Leave with a first count, a shadow list and an owner beside every agent on it. One week, read-only, and an honest view of what a full census would show.

01

Scan it

One cloud account and one builder platform, read only.

02

Name it

An owner for every agent found, or a pause.

03

Scope it

Three high tier agents given their own identity.

Book a working session Or reply to the email this report came from