Show Notes
AI-native workforce security is how Amplifier Security and Jamf close the gap between security policy and employee action, without slowing anyone down.
In this episode of Jamf After Dark, hosts Kat Garbis and Josh Thornton talk with Shreyas Sadalgi (Co-Founder & CEO) and Thomas Donnelly (Co-Founder & CTO) of Amplifier Security. Their AI agent AMP works alongside Jamf Pro, Jamf Protect, and Jamf Security Cloud to engage employees directly in Slack and Microsoft Teams, resolving vulnerabilities, standardizing operating systems, and supporting Jamf AI governance, without the friction of top-down enforcement.
Meet the Guests:
- Shreyas Sadalgi, Co-Founder & CEO, Amplifier Security https://www.linkedin.com/in/shreyassadalgi - Thomas Donnelly, Co-Founder & CTO, Amplifier Security https://www.linkedin.com/in/thomasdonnelly12
*CHAPTERS:* 0:00 Introduction: Meet the Jamf After Dark Hosts and Guests 3:55 What Is Amplifier Security? Solving the Workforce Security Gap 5:46 AI-Driven Cyberattacks and the Human-Speed Security Problem 7:15 Partnering With Employees Instead of Enforcing Security 9:07 Meet AMP: Amplifier's AI Security Agent 10:51 Customer Wins: OS Standardization and Vulnerability Management 16:46 How Amplifier Stands Out From Homegrown Security Tools 18:47 Amplifier and Jamf: Integrating APIs and AI Governance 21:16 The Combined Value of Jamf and Amplifier Security 23:53 Agentic AI: What's New for Amplifier This Year 28:33 JNUC 2026 Preview and Amplifier's Free Jamf Offer 30:36 Case Study: Securing a Distributed Shipping Company's Fleet 35:10 Real ROI: Faster Updates and Fewer Vulnerabilities
*What You'll Learn:*
- Why workforce security breaks down at *human speed* while AI-driven attacks move at machine speed - How AMP uses Jamf Pro smart groups and device data to have real, contextual conversations with employees about fixes — instead of just sending tickets - Real customer results: fleet updates 70% faster, vulnerability counts dropping from hundreds of thousands to single digits, and training compliance rising from 75% to 98.5%
Resources Mentioned:
Amplifier Security https://www.amplifiersecurity.com Jamf Support https://www.jamf.com/support
#AmplifierSecurity #Jamf #AIGovernance #EndpointSecurity #WorkforceSecurity @AmplifierSecurity
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Mobile device security is the biggest blind spot in most organizations, and most IT teams have no way to investigate when something goes wrong. Chris Deane, Senior Sales Engineer for Jamf Security Products, and Harry Jenkins, Senior Sales Manager for Jamf Mobile Forensics, sit down with hosts Kat Garbis and Josh Thornton to talk through what actually happens when a mobile device gets attacked. They cover the full picture: why MDM alone isn't security, how mobile threat defense stops most attacks but not all, and where Jamf Mobile Forensics comes in for the ones that slip through. Plus a deep dive into spyware — Pegasus (NSO Group), Predator (Intellexa), zero-click attacks, why journalists are targeted just as often as executives, and how Jamf Threat Labs builds detection rules for threats that have never been seen before. CHAPTERS: 0:00 Mobile devices are the #1 security blind spot 1:50 Meet the guests: Chris Deane and Harry Jenkins, Jamf Security 2:56 What makes Mobile Security different from endpoint security? 5:08 MDM, Mobile Threat Defense, and Mobile Forensics: the three layers explained 7:18 Why Only 15% of mobile devices are properly secured 9:49 Personal vs. Work: why the blurred lines make mobile security hard to enforce 15:36 Incident Response: what happens when an employee says their phone was attacked? 17:43 What Mobile Forensics actually means, and what Jamf is not looking at 19:57 iOS vs. Android CVEs: 90-120 Apple patches vs. 600-900 Android in 12 Months 22:43 Spyware: What Predator and Pegasus actually do to your mobile device 25:37 Targeted malvertising and the shift from One-Click to Zero-Click Attacks 29:07 Who gets targeted: executives, journalists, and travelers in High-Risk countries 33:20 How Jamf Threat Labs detects unknown threats using behavioral analysis 36:43 AI Analysis in Jamf Mobile Forensics: deeper insights without Forensic skills