AI-Native Workforce Security

Close the gap between Jamf findings and verified fixes.

Security teams are good at collecting signals. The hard part is turning those signals into action fast, at scale, without burning out IT. Most teams fall back on the blunt instrument: set a hard deadline, force the restart, live with the fallout. And the fallout has a face - it's the executive whose laptop rebooted mid-presentation. The real breakdown is timing and agency: the reminder lands mid-meeting, gets dismissed on reflex, and the machine ends up deciding when work stops.

Amplifier fixes that. Connected to Jamf Pro, Jamf Protect, and Jamf Security Cloud, Amplifier turns device findings into completed fixes driven by the employees themselves. When a device falls out of compliance, Amplifier's AI Security Engineer (Ampy) reaches the employee where they already work - Slack or Microsoft Teams -and holds the reminder until they're actually free instead of interrupting a meeting. The employee schedules the fix for a time that suits them, within the window IT defines, and reschedules if plans change, still inside those limits. People follow through on plans they set themselves, which drops forced restarts to a rounding error. IT gets pulled in only when it's needed.

What the integration delivers:

●      See who's exposed, not just what. Amplifier ingests Jamf device and security findings and maps each one to a specific employee with department, role, and risk context, surfaced in a prioritized risk view. Incident responders get attribution without correlating spreadsheets. Audit teams get coverage evidence on demand.

●      Remediate without disrupting work. Employees schedule patches, operating system (OS) updates, and restarts within IT-defined windows instead of getting a forced reboot mid-meeting. Gaps like missing FileVault, Gatekeeper, firewall, screen lock, or inactive agents get closed without requiring an IT ticket — tickets stay optional for record keeping.

●      Smart Groups become AI workflows. Your existing Jamf Smart Groups act as the trigger conditions for Amplifier workflows. No new logic to build. Prebuilt Jamf flows in AI Agent Studio get your first engagement running in minutes.

●      Closed-loop reporting. Prove fleet compliance progress with verified fixes, not assumptions that every alert got acted on. No spreadsheet exports, no status chasing.

How it works:

1. Select a Jamf Smart Group. Reuse or build a Smart Group for devices that need attention, such as all devices running an out-of-date OS version.
2. Define the fix. Specify the action that resolves the finding: an OS update, a security patch, a restart, or a configuration change.
3. Build the workflow in AI Agent Studio. Use the Smart Group as the trigger and choose from prebuilt Jamf flows to define the employee engagement.
4. Amplifier engages users automatically. When devices enter the Smart Group, Ampy reaches the right employee with the right context: what's out of compliance and exactly how to fix it.
5. Track verified fixes. Amplifier continuously analyzes findings across your security stack, surfaces new risks, and reports remediation progress in a closed loop.

Proven results:

●      A national beverage distributor with roughly 1,900 employees updated more than 1,000 iOS devices in one week — 77% of its mobile fleet. That work previously took five IT staff about a month of manual outreach, and the integration eliminated an estimated 809 hours of chasing.

●      Oscar Health reduced outdated macOS endpoints by 65% while eliminating forced reboots.

See it in action:

●      2-minute demo: AI-driven remediation of Jamf Smart Group findings

●      Amplifier featured in the JNUC '25 keynote

●      Oscar Health CISO: 65% reduction in outdated macOS endpoints

●      Jamf blog: How Jamf and Amplifier Security close the remediation gap