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AI + Automation: Protecting Corporate Privacy Using Local LLMs

AI + Automation: Protecting Corporate Privacy Using Local LLMs

By Saiful Anuar

AIPrivacyLeadership

Overview

Data leaks through third-party cloud AI platforms pose a massive compliance risk under Malaysia's Personal Data Protection Act (PDPA). This intensive 2-day practical workshop empowers data, IT, and compliance professionals to deploy powerful open-source Large Language Models (LLMs) completely locally on secure infrastructure. Participants will construct completely offline, automated data pipelines to process sensitive internal records and evaluate operational workflows without external cloud dependencies, eliminating data exposure risks entirely.

Target Audience

Data Protection Officers, Compliance Managers, IT Managers, Systems Administrators, Business Operations Leads, HR Managers, C-Suite Executives

Course Duration

1 Day

Claimable

HRD Corp Claimable

Delivery Format

In-Person Workshop

Max Class Size

10

Learning Outcomes

1

Deploy open-source Large Language Models (LLMs) locally on standard company hardware architectures to completely mitigate third-party cloud data leak risks.

2

Construct secure, fully offline automated data pipelines to safely process sensitive internal corporate documents without active internet dependencies.

3

Evaluate organisational operational workflows for strict data privacy compliance and PDPA alignment to prevent accidental corporate information exposure.

Prerequisites

  • 1Hardware: A standard corporate laptop (Windows 10/11 or macOS) with a minimum of 8GB System RAM and an active Wi-Fi connection. No dedicated high-end graphics card (VRAM) is required from the participant, as cloud-allocated sandbox environments will be provided for technical deployment exercises.
  • 2Software & Access: Administrative rights to install local applications (specifically for standard terminal access and Docker/Ollama local test environments), or pre-arranged authorisation from the participant's internal IT department.
  • 3Competency Baseline: Basic familiarity with standard cloud-based generative AI tools (e.g., ChatGPT, Claude, Gemini web interfaces) and general office data handling. No prior coding, Python, or command-line scripting experience is required.