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Workforce AI Security

Workforce AI Security

Your workforce is using AI. Is it secure? Aona helps you discover Shadow AI on covered endpoints, enforce data guardrails on supported interactions and coach employees to use AI safely.

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OBSERVED COVERAGEA clear view for the team

Synthetic coverage summary for a policy review.

Synthetic example. Validate the client and policy path in scope.

55%
of surveyed workplace GenAI users used unapproved tools (Salesforce, 2023)
10,000+
AI tools in the catalogue
Real-time
employee coaching
IT
managed endpoint deployment

Salesforce, 2023

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

In Salesforce’s 2023 survey, 55% of workplace generative-AI users said they used unapproved tools. Unapproved use can create untracked data flows and gaps in policy oversight. The risk is not just the tool; it is the data shared with 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.

  1. 01

    Discover

    Discover approved and unapproved AI use on covered endpoints. Review tool, team and data-risk information for the supported browser and native-app input paths in your deployment.

    Visibility starts on covered endpoints
  2. 02

    Secure

    Apply configured DLP controls to supported AI interactions. Block or redact sensitive data and enforce acceptable use policies by role, team and tool.

    Real-time controls for supported AI interactions
  3. 03

    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.

    Policy guidance at the point of risk

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

AI visibility and control

Security teams can review AI usage on covered endpoints, policy events and coaching interactions in one dashboard, with evidence to support governance reviews.

  • 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.

  1. 01

    Discover What Employees Are Using

    Discover observed AI use on covered endpoints, including tools not approved by IT. Review adoption by team and tool once the browser plugin or native app is deployed.

  2. 02

    Enforce Data Guardrails

    Apply data policies to supported AI tools and input paths. Configure blocking or redaction for customer PII, source code and confidential documents, with rules for different teams and data classifications.

  3. 03

    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 global knowledge workers surveyed used AI at work

Microsoft & LinkedIn, 2024
$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 92.8% in 30 days 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
92.8% fewer Shadow AI prompts7 to 2 platforms100% workforce visibility
Read the full case study →

FAQ

Frequently Asked Questions

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.
How does workforce AI security support compliance?
Workforce AI security supports governance reviews with AI usage records and policy-intervention evidence from covered endpoints. Aona’s templates and reports can support work on APRA CPS 234, the EU AI Act, NIST AI RMF and ISO 42001. The evidence available depends on deployment, logging and retention settings; it does not by itself establish compliance or certification.

Workforce AI security starts with visibility. Explore Aona shadow AI discovery to build an inventory of observed AI use on covered endpoints.

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See how employees use AI on covered endpoints, apply supported data guardrails and build safer AI habits from one platform.

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Workforce AI Security, Secure How Your Team Uses AI | Aona AI