How Many Companies Use AI? 2026 State of AI & SaaS Security Report - LastPass

2026 AI & SAAS SECURITY REPORT

How many companies use AI?

92% of organizations actively use AI tools. The bigger challenge: controlling unapproved AI use without slowing productivity. The LastPass 2026 State of AI and SaaS Security Report shows what the visibility gap looks like at organizations like yours, and which controls can help.

Key stats: What the data shows

Source: The LastPass 2026 State of AI and SaaS Security Report. Insights based on survey responses from 412 IT leaders, login habits from 450,784 users across 20,631 organizations, and app usage at 15,907 organizations.

92% of IT leaders confirm AI tools are in active use at work, across every org size and industry.

Why it matters: The adoption baseline is near-universal. The question is no longer whether AI is in use, but whether your organization has the governance controls to match the scale. 

50% describe their posture on AI as cautious adopters, while 68% say their #1 security concern is employees entering corporate data into AI tools.

Why it matters: Most organizations didn’t hold off on AI. But the rush to adopt it has created governance debt, where IT teams lack the controls to ensure safe usage.

61% cite AI tools accessing corporate systems without authorization as a top access-related risk.

Why it matters: As AI tools evolve from chatbots to agents that call APIs and connect to external systems, the access layer (not the policy layer) becomes the frontline of governance.


How many companies are using AI in 2026?

Our findings indicate that AI adoption is widespread:

  • 36% described adoption as organization-wide
  • 21% said it's concentrated in specific departments
  • 16% said it's happening at the individual level
  • 19% said it's a mix of approved and independent usage

LastPass research uncovered the most popular platforms:

  • ChatGPT: 64%
  • Claude: 39%
  • Gemini: 36%
  • Microsoft Copilot (personal/free tier): 35%
  • Grammarly: 29%
  • Perplexity: 11%

All are consumer tools typically accessed with personal accounts on corporate devices, which means they don’t appear in SSO logs and can’t be detected without specific tooling that uncovers login activity across both credential types (corporate and personal). 

This is why 46% of organizations report moderate to widespread shadow AI.  


What is the generative AI trend making AI adoption more urgent?

The speed of adoption isn’t the only thing separating generative AI from previous tech.

How AI is embedded into work is changing what IT must govern and what’s at stake when governance lags.

AI agents that act independently and are embedded in already-approved tools

The current wave of generative AI tools doesn’t just respond to prompts. Embedded agents take autonomous actions that don’t surface in IT logs. 

Agents inside the Microsoft 365 ecosystem alone have grown 15× year over year (Microsoft 2026 Work Trend Index).  

Each autonomous integration creates a new access point. In LastPass's research, detection and response were far from aligned.  

IT leaders rated the importance of detecting when sensitive data had been entered into AI tools at 4.2 out of 5. But their confidence in their ability to do this sat at 2.5 out of 5.  

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From adoption to governance: Where should your team start?

Before you can govern ChatGPT, you need to know how many employees are using it, how they’re accessing it, and what data it can reach. Start with visibility: See it first, then govern it.

  • Step 1: Benchmark your posture against that of the industry.

    Before writing policy, establish your baseline: How many AI tools are in use, how many did IT sanction, and how large is the gap between those two numbers?

    This gap is your governance starting point, and it's often larger than expected. The LastPass 2026 State of AI and SaaS Security Report highlights this by organization size and adoption maturity levels, so you can see where your organization stands relative to organizations your size.

  • Step 2: Map every authentication point, not just managed identities

    Most AI tool access bypasses traditional controls. Consumer accounts, personal emails, and direct browser logins mean your IT team often lacks a complete picture of adoption.

  • Step 3: Triage by data sensitivity, not tool category

    Not every AI tool carries equal risk.

    A presentation tool like PowerPoint that uses AI to generate or format slides may present a lower exposure than an AI writing assistant that drafts emails to customers.

    The most effective governance programs prioritize AI tools based on the type of data they can access and process.


What's possible with an accurate AI inventory?

The steps above build toward a single output: an accurate, live AI inventory. For lean teams, this unlocks what hard bans can’t: 

  • Tiered enforcement: With an accurate inventory, you can apply per-app rules that create less friction. This is what LastPass Business Max enables.
  • Audit-ready documentation: As customers, insurers, and regulators increasingly ask organizations to demonstrate AI governance, maintaining a live inventory with applied controls provides a strong foundation for responding to those requests.
  • Visibility into agentic AI: An accurate inventory puts you in a significantly better position to govern the next layer, such as agentic AI and MCP-connected integrations that bypass existing identity controls.

LastPass Business Max brings everything together in one plan, with shadow AI discovery, app usage rules, and real-time AI usage guidance, all from the browser extension your team already uses.


Where does your organization stand?

Only 22% of organizations currently have tools to monitor AI usage. The LastPass 2026 State of AI and SaaS Security Report details what the other 78% are up against.

Common viewpoints are:

  • "We already have an AI policy."

    Policies only govern activity you can see. In the LastPass 2026 State of AI and SaaS Security Report, organizations consistently reported AI usage occurring outside standard approval processes. 

  • "Our SSO gives us visibility."

    The most commonly used AI apps, such as ChatGPT, Claude, Gemini, Copilot, are accessed with personal credentials and direct browser sign-ins that never appear in SSO logs. 

  • "Employees only use approved AI tools."

    Despite intent, in LastPass’s survey, 46% of organizations reported moderate to widespread shadow AI. 

  • "We're not a heavy AI organization."

    92% of IT leaders told LastPass employees are actively using AI, with or without permission. For most organizations, the question is no longer whether AI exists, but whether governance is keeping pace. 

You can get the full picture on the biggest visibility gaps and which controls are gaining traction in the LastPass 2026 State of AI and SaaS Security Report.  

Insights are based on survey responses from 412 IT leaders, login habits from 450,784 users across 20,631 organizations, and app usage at 15,907 organizations. 

Get the complete insights

Explore more in the AI & SaaS Security series

GUIDE

AI Governance Compliance: Policies, Controls, and Gaps

FAQ: Managing shadow IT

According to the LastPass 2026 State of AI and SaaS Security Report, adoption is near-universal: 92% of IT leaders in our report confirm AI tools are in active use at their organizations.  

Of those, 36% describe adoption as organization-wide, 21% as departmental, 16% as individual-level (typically outside IT visibility), and 19% as a mix of sanctioned and unsanctioned use.

In the LastPass 2026 State of AI and SaaS Security report, 31% identified as early AI adopters and 50% as cautious adopters.     

Early adopters embraced AI as a deliberate choice. Cautious adopters let it spread more informally, aware of the risk, but recognizing that blocking it outright wasn't realistic either. 

LastPass’s research indicates that adopter category didn’t determine governance readiness: 42% of organizations had no technical controls at all for managing employee AI access, regardless of how they described their adoption posture. 

Generative AI is changing IT’s responsibilities in two fundamental ways. 

First, the primary risk is shifting from access control to data governance: The challenge is no longer just who can log into which system, but what data employees are entering into AI tools. 

Second, agentic capabilities are expanding the blast radius of a single compromised or over-permissioned account, which is why 61% of IT leaders in The LastPass 2026 State of AI and SaaS Security Report see AI tools accessing corporate systems as a top risk.  

Your best bet is to focus on making approved tools easier to use than unapproved ones.

Organizations see the most success when they focus on:

  • Maintaining visibility into AI usage
  • Defining clear acceptable use guidelines
  • Restricting high-risk or non-compliant apps
  • Approving safe alternatives
  • Continuously monitoring for shadow AI activity
  • Educating employees on data-sharing risks

LastPass Business Max provides visibility into AI usage and tiered controls to reduce risk, which means you improve security without creating the kind of friction that drives shadow AI adoption.

And with the new AI usage guidance feature in Business Max, employees get a real-time warning before sharing sensitive info with an AI tool. The result is seamless security across browsers and devices with zero added effort. 

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