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Management: Technology, Data & AI

Cybersecurity for Managers: Protect Data and People

Cybersecurity, Privacy & Information Governance: leave with a data-classification table, access-review sheet and an incident-response contact plan.

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Ajay Prajapat

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Ajay Prajapat

AI Educator · Engineer · innovatewithajay.com

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TechlyUpMANAGEMENT: TECHNOLOGY, DATA & AICybersecurityfor Managers:Protect Data andPeopleFREE WEBINAR TOPIC · VOTE

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1Why cybersecurity, privacy & information governance matters — the common problem: Former staff and vendors keep access, and nobody knows where sensitive data lives.
  2. 2Core concepts in plain language: Security governance, security policies, asset classification, access management, identity governance, data protection
  3. 3Going further: privacy management, security awareness, vulnerability management, security incident response, third-party security risk, data retention
  4. 4Framework walkthrough: RACI, Risk Matrix, PDCA
  5. 5Practical workflow, built live: A data-classification table, access-review sheet and an incident-response contact plan.
  6. 6How to measure it: Availability, Incident frequency, Recovery time, Change failure rate, Technology cost
  7. 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation

Who it's for

  • • IT managers and tech leads
  • • Business owners making technology decisions
  • • Operations teams adopting AI and automation

You'd leave with

  • A data-classification table, access-review sheet and an incident-response contact plan.
  • A working understanding of RACI and Risk Matrix
  • A short list of measures to track: Availability, Incident frequency, Recovery time