Agentic AI Governance: Where Should IT Teams Actually Start? - LastPass

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How to put agentic AI governance in place

The agentic workforce is present-day reality, not science fiction. The LastPass 2026 State of AI and SaaS Security Report shows where agentic AI governance must start.

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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.

15x Microsoft 365 agents have grown 15× year over year (Microsoft 2026 Work Trend Index).

Why it matters: Each agent creates a new access point. When they authenticate outside SSO-managed accounts (and most do), your IT team has no visibility into what data they’re reading or what systems they’re connected to.

$234B Gartner estimates $234 billion of enterprise app spend is at risk from agentic AI (Gartner, 2026).

Why it matters: That number represents enterprise spend for apps that agents can potentially access or hand off to another agent, creating data flows outside your visibility. The risk scales with the app footprint you have, which is why the first control has to sit at the point where data moves.

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

Why it matters: Agentic AI makes unauthorized system access a structural risk, not an edge case: A single agent session can touch email, calendar, CRM, and external APIs before any human reviews the activity. And none of it appears in a standard log.

What makes agentic AI harder to govern than standard AI tools?

Three things make agentic AI harder to govern than the AI tools you’ve been managing so far:

  • Agents act below the human decision layer

    When an employee asks an agent to create a prioritized task list, that agent may read calendar events, open email threads, query shared drives, or call external APIs. None of this activity surfaces in traditional IT logs, which means there’s no audit trail for the agent’s actions. 

  • Agents inherit whatever credentials they're given 

    An agent authorized on an account with a reused password and operating with that account's full permissions is a threat to business integrity. 

    LastPass data shows 52.8% of users reuse passwords across accounts, while 21.2% are actively logging in with credentials already flagged in past breaches. Agents inherit and amplify exposure that already exists.  

  • MCP-connected integrations are nearly invisible to IT 

    More than 10,000 public MCP servers are now available (Anthropic, 2025). Most don't appear in asset inventories. An agent connecting to an MCP server won’t trigger an alert or generate a log entry that connects it to the employee who authorized it. This means your highest risk integrations are also your least visible ones. 

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Where most IT teams are starting from

  • We’re not really using AI agents yet

    Agents within the Microsoft 365 ecosystem have grown 15X year-on-year. They activate when an employee installs an add-on or enables a Copilot feature. If your organization uses Microsoft 365, there’s a high chance you already have AI agents running inside it, even if you never formally adopted them. 

  • We already have an AI policy that covers this

    A policy tells people what should happen. But visibility shows the potential blast radius: If an employee shares their permissions with an AI agent, that agent will be able to reach the same systems.

    Getting visibility into human access first allows you to make a risk-based decision on whether to allow the tool and for whom.

  • Our 365 admin console gives us what we need

    The admin console shows you what Microsoft manages, not the agents authenticating with employee credentials or those embedded in third-party apps. Those are the gaps where your highest risks live.

Close the visibility gap with LastPass Business Max.

Shadow AI discovery shows you which AI tools your employees are using, including unsanctioned ones that bypass SSO. AI usage guidance warns employees in real time before they share credentials or sensitive data with them. It all runs from the LastPass browser extension your team already uses, with no extra agents or proxies to deploy.


Where do I start with agentic AI governance?

The organizations making progress on agentic AI governance share a starting point: They begin with visibility, not policy. You can't write a meaningful policy about what agents can access until you know what's already running and what credentials those agents are using.

  • Step 1: Understand what’s connecting to your environment

    Before governance can begin and before you can even track agentic actions, you need visibility into which AI tools are connecting to your business systems. The LastPass 2026 State of AI and SaaS Security Report explores why traditional tools often miss these connections.

  • Step 2: Prioritize your highest risk access paths

    Not every AI tool presents the same level of risk. Accounts with reused or compromised passwords connected to agents are your highest-priority exposure.

  • Step 3: Guide behavior with context-aware controls

    Many organizations are discovering that governance works best when employees receive guidance at the point of access. The LastPass 2026 State of AI and SaaS Security Report examines which approaches security leaders believe are most effective for reducing risky access without slowing innovation.

Want to see how 412 IT leaders are handling agentic AI governance, where confidence remains low, and which controls are gaining traction?

The LastPass 2026 State of AI and SaaS Security Report reveals why visibility into AI tool adoption is becoming the starting point for governance and where forward-thinking organizations focus next.

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Explore more in the AI & SaaS Security series

GUIDE

AI Governance Compliance: Policies, Controls, and Gaps

FAQ: Agentic AI governance 

Data governance defines what data exists, how it's classified, and who owns it. AI governance is about what AI systems can access and do with that data.   

As organizations adopt agentic AI, governance challenges extend beyond the data itself.   

In particular, agentic actions often flow from AI platforms employees access and configure, making human access an important governance starting point.  

LastPass helps support that starting point with visibility into AI tool access and controls that provide a foundation for reducing AI-related risk before agentic workflows are introduced. 

Gartner estimates $234 billion of enterprise app spend is at risk from agentic AI (Gartner, 2026). The risk comes from agents autonomously provisioning tools or inheriting over-permissioned credentials that bypass existing identity controls.  

Reducing that exposure starts at the point where data moves. With LastPass AI usage guidance, employees get a real-time warning before sharing sensitive data with an AI tool.   

AI usage guidance also works via the existing LastPass extension, so the result is seamless, always-on security with zero extra effort. 

Effective AI governance starts with visibility. 

From there, you’ll want to establish approved-use guidelines and then apply controls where necessary. 

With LastPass AI Monitoring and AI Protect, you can uncover shadow AI and create actionable guardrails around AI access and usage, allowing you to support innovation while maintaining security and compliance.  

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