AI Phishing Detection: Jamf Safe Internet Security for Education

Описание: Discover how K-12 schools can protect students from cyber threats while maintaining productivity with Jamf Safe Internet's on-device content filtering. Wouter Brink and Matthias Trip (Software Engineers at Jamf) reveal why education is the 3rd most-targeted industry by hackers, with 77% experiencing breaches in 12 months.

Learn about Apple's privacy-first network extension framework, time-based scheduling policies, and groundbreaking on-device phishing detection using Apple's Neural Engine—detecting zero-day threats instantly without cloud roundtrips or TLS decryption.

What you'll learn:
► Why education ranks top 3 most-targeted industries: 2,300 attacks weekly
► Real ransomware case studies: $250K university attack, 250 servers encrypted
► Phishing statistics: 1 in 4 clicks successful in education sector
► On-device content filtering vs. cloud proxy vs. DNS gateway comparison
► Apple's semi-sandboxed architecture: filtering with privacy by design
► Filtering capabilities: full URLs, IP ranges, bundle identifiers (app-level blocking)
► No TLS decryption required: accessing HTTP body without security risks
► Custom rules for whitelisting internal networks and educational resources
► Enhanced block pages: school name customization and threat classification
► Time-based scheduling policies: school hours vs. after-hours configurations
► Recurring schedules for specific classes (biology example with educational games)
► Condition-based rules evaluated on-device for instant policy changes
► On-device phishing detection model using Apple Neural Engine and CoreML
► Zero-day threat detection without cloud connectivity
► Limited privacy mode coming in 2026 for machine name visibility

0:00 Introduction: Why Cyber Security Matters in Education
2:31 Productivity Challenge: iPad Distraction Management
3:07 Real Ransomware Case Studies: $250K University Attack
4:50 Jamf Safe Internet Solution Overview
5:38 Apple On-Device Content Filtering vs. Traditional Methods
7:24 Privacy by Design: Semi-Sandboxed Architecture Explained
9:04 Unique Filtering Capabilities: URLs, IPs, Bundle Identifiers
11:21 Enhanced Block Pages: School Name and Threat Education
13:47 Time-Based Scheduling Policies for Dynamic Control
18:28 On-Device Phishing Detection with Apple Neural Engine
20:06 Recap and Jamf 4K12 Bundle Availability

#EducationIT #CyberSecurityEducation #ContentFiltering #PhishingPrevention #K12Technology