What is workforce AI security?

Workforce AI security refers to the policies, controls, and monitoring an organisation puts in place to ensure employees use AI tools safely, appropriately, and in compliance with data protection requirements. It covers discovering which AI tools employees are using (including unsanctioned tools), preventing sensitive data from being entered into AI tools, enforcing acceptable use policies, and coaching employees to adopt AI in ways that are both productive and secure.

How does Shadow AI create security risk for employees?

Shadow AI, AI tools used without IT or security approval, creates risk because employees often don't know which data they should and shouldn't share with AI services. Personal AI accounts on ChatGPT or similar tools may not have enterprise data protections in place. Data entered into these services may be used to train models or stored outside approved jurisdictions. Without visibility or controls, security teams cannot prevent or even detect these data exposures.

Does Aona block employees from using AI tools?

Aona's approach is not to block AI, it's to govern it. Rather than preventing employees from using AI tools, Aona enables your organisation to approve appropriate tools, enforce data guardrails on those tools, and coach employees when they attempt to share data they shouldn't. The goal is to enable safe, productive AI adoption while maintaining security and compliance, not to create friction that drives shadow AI usage further underground.

How does Aona help employees use AI safely?

When Aona detects that an employee is about to share sensitive data with an AI tool, it intervenes in real time, showing the employee why the action was blocked and suggesting a safe alternative. This just-in-time coaching builds AI literacy across your workforce over time, reducing risk without creating a culture of restriction. Security teams can track coaching interactions and refine policies based on how employees actually use AI tools.

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Workforce AI Security

Your workforce is using AI. Is it secure? 55% of employees use unapproved AI tools at work. The gap between AI adoption and AI security is growing every quarter. Aona closes it, discovering Shadow AI, enforcing guardrails, and coaching employees to use AI safely.

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of employees use shadow AI

AI tools monitored

Real-time

employee coaching

<0 min

to deploy

3 Workforce AI Security Risks

Most AI security incidents are not caused by attackers. They are caused by employees who are trying to be productive.

Shadow AI

55% of employees use AI tools not approved by their organisation. Each unapproved tool is an untracked data flow, no visibility, no control, no compliance record. The risk is not the tool; it is the data that flows through it.

Undetected Shadow AI = undetected compliance breaches

Data Exposure

Employees routinely paste customer data, financial records, source code, and confidential documents into AI tools to get work done faster. Without guardrails, this creates regulatory exposure and competitive risk with every keystroke.

Every unguarded AI prompt is a potential data breach

Uneven AI Literacy

Not all employees understand what data is safe to share with AI tools. Junior staff and non-technical teams are often the highest-risk users, not from malicious intent, but from a lack of awareness about AI data handling.

Human error drives the majority of AI data exposure events

The Aona 3-Pillar Approach

Security that enables AI adoption, not one that fights it.

Discover

Get a complete inventory of every AI tool your workforce is using, approved and unapproved. Aona maps AI usage across your entire organisation within minutes, including tools accessed through personal accounts and browser extensions.

Full Shadow AI visibility in under 5 minutes

Secure

Apply real-time DLP guardrails to every AI tool interaction. Prevent sensitive data from leaving your organisation through AI prompts. Enforce acceptable use policies by role, team, and tool, automatically.

Real-time protection across 5,000+ AI tools

Coach

When employees encounter a policy restriction, Aona doesn't just block, it explains. Real-time coaching at the point of risk builds AI literacy across your workforce, reducing future incidents without creating friction.

Just-in-time employee coaching reduces repeat incidents by 70%

Works for Everyone

For Employees

Coaching, not punishment

When Aona detects a policy risk, it doesn't just block the action silently. It tells the employee what happened, why the prompt was blocked, and suggests a safe way to accomplish their task, building AI literacy over time.

Real-time explanation of policy restrictions
Safe alternatives suggested in context
Friction-free for compliant AI use
Builds AI literacy across the workforce

For Security Teams

Full visibility and control

Security teams get a unified dashboard showing all AI tool usage across the organisation, policy violations, coaching interactions, and compliance reporting, without generating alert fatigue.

Unified AI usage dashboard
Policy violation alerts and audit trail
Compliance reports for GRC teams
Role-based policy controls

How Workforce AI Security Works

Discover, protect, and coach, the three pillars of workforce AI security.

Discover What Employees Are Using

Aona automatically surfaces every AI tool in use across your workforce, including shadow AI tools that haven't been approved by IT. Get a full picture of AI adoption, by team and by tool, within 48 hours.

Enforce Data Guardrails

Apply data-level policies across all AI tools. Block employees from uploading customer PII, source code, or confidential documents to unsanctioned services. Enforce different rules for different teams and data classifications.

Coach Employees in Real Time

When an employee attempts to share data that violates policy, Aona shows them why, and what to do instead. Just-in-time coaching builds AI literacy without creating friction or driving shadow AI underground.

75%

of employees use AI tools not sanctioned by IT or security

Microsoft WorkLab, 2025

$4.88M

average cost of a data breach

IBM Cost of a Data Breach Report, 2024

Case Study

Australian Healthcare College

An Australian healthcare college had approved Microsoft Copilot but had no visibility or audit trail over the consumer AI tools staff were actually using. Aona's governance portal and real-time guardrails reinforced the approved tool, took at-risk users from 13 to 4, and cut Shadow AI prompts by 92.9% in three months without blocking approved AI use.

“Aona gave us visibility into which AI platforms were being accessed across the college and helped us proactively discourage use of unapproved tools while reinforcing Copilot as our approved option. It has been easy to deploy, lightweight for end users, and a valuable addition to our AI policy.”Senior Systems and Security Administrator, Australian healthcare college

92.9% fewer Shadow AI prompts7 to 2 platforms100% workforce visibility

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FAQ

Frequently Asked Questions

Workforce AI security covers the policies, controls, and monitoring organisations use to ensure employees use AI tools safely and in compliance with data protection requirements. It includes discovering which AI tools employees are using (including shadow AI), preventing sensitive data from entering AI tools, enforcing acceptable use policies, and coaching employees to adopt AI productively and securely.

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