Discover the latest in cybersecurity education, training programs, courses, and certifications to secure digital environments effectively.
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Education comprises schools, colleges, universities, training providers, and the systems supporting teaching, assessment, administration, and research. Its distinctive assets include student and staff records, attendance and grades, learning materials, research data, payment information, and sometimes sensitive information about children or vulnerable people. Core dependencies include identity systems, email, learning platforms, campus networks, cloud services, online examination tools, and third-party platforms; disruption can affect teaching, assessment, safeguarding, or essential administration.
Security priorities include tightly scoped access for students, staff, contractors, and researchers; strong authentication; timely patching of internet-facing and classroom-managed devices; and careful control of data shared with service providers. Privacy requirements make retention, access logging, and protection of educational and research records material. Because education operates on fixed academic schedules and often has limited recovery windows, tested backups, offline or segregated recovery copies, and rehearsed procedures for isolating accounts or systems can support continuity. Vulnerability management should account for legacy devices and decentralized departmental technology, while incident response plans should preserve evidence and provide clear communications to affected communities.
Why the Benefits Far Outweigh the RisksToday's workforce is increasingly insisting on having employer-provided education and development opportunities. Learn why offering employees opportunities for education and development is both a retention strategy and a key component of a successful business strategy.
R Street Director Brandon Pugh on Congress' AI Learning Curve, Future LegislationBrandon Pugh of R Street Institute discusses Congress' struggle to balance AI innovation and regulation, the U.S. approach compared to the EU, and the urgent need for privacy laws to protect AI-driven data. He emphasizes education on AI technologies and the ongoing challenge of defining key terms.