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AI Security and Responsible Use: Practical Enterprise AI Capability Building
A practical, non-technical program that helps employees and managers use AI confidently while protecting organizational information. It covers AI-specific security risks, safe data-handling, prompt injection, deepfakes, AI-enhanced social engineering, Responsible AI, bias, human oversight and organizational governance.
Six capabilities this program is built to give every employee who uses AI with organizational data.
Recognize AI specific security risks like shadow AI, data leakage and AI enabled attacks.
Decide what information is safe, restricted or prohibited for AI tools using data classification rules.
Catch hallucinations, fabricated sources and false confidence before you rely on an AI answer.
Identify prompt injection, malicious documents and AI generated phishing or deepfake attempts.
Spot bias and fairness issues, and know when a decision needs human ownership.
Escalate and contain AI related security incidents using a clear response plan.
How the program moves you from spotting AI risks to a plan you can put into practice.
Realistic workplace scenarios that show how AI creates new security exposure.
Practice classifying what information can and cannot safely go into an AI tool.
Investigate AI generated claims and learn to catch fabricated or misleading content.
Identify prompt injection, AI generated phishing and deepfake communications.
Evaluate AI supported decisions for bias, fairness and required human oversight.
Build a Responsible AI and Security Action Plan for your own role or team.
Realistic workplace scenarios that show how AI creates new security exposure.
Practice classifying what information can and cannot safely go into an AI tool.
Investigate AI generated claims and learn to catch fabricated or misleading content.
Identify prompt injection, AI generated phishing and deepfake communications.
Evaluate AI supported decisions for bias, fairness and required human oversight.
Build a Responsible AI and Security Action Plan for your own role or team.
The real security scenarios you'll practice, pulled directly from the program's applied curriculum.
Build an action plan for your role or team: key AI risks, data classification rules, security controls, human review points and an incident escalation path.
The program focuses on applying data classification and governance principles, not memorizing a list of tools.
ChatGPT Enterprise · Microsoft 365 Copilot · Gemini · Claude · Perplexity
Microsoft Purview · Defender · DLP tools · Enterprise access controls
Public / Internal / Confidential / Restricted
Prompt injection · deepfake detection · AI phishing indicators
Responsible AI policies · Human-in-the-Loop framework · Incident response playbook
A preview of the ten modules inside the program. See the full breakdown in the detailed curriculum.
Generative AI risks, AI adoption, shadow AI, AI-enabled attacks and organizational exposure.
LLMs, AI assistants, copilots, agents, APIs, enterprise vs public AI and data flows.
Personal data, confidential information, sensitive business data and data classification for AI use.
Trade secrets, proprietary information, copyright, contracts, source code and business strategy.
Hallucinations, fabricated sources, incorrect facts, false confidence and verification habits.
Prompt injection, indirect prompt injection, malicious documents and data extraction attempts.
AI-generated emails, voice cloning, synthetic identities, deepfake video and impersonation.
Bias, discrimination, fairness, transparency, explainability and accountability in AI decisions.
Human oversight, approval thresholds, AI recommendations, escalation and organizational policies.
Secure prompting, workflow controls, data minimization; incident response, escalation; create a Responsible AI & Security Action Plan.
A practical introduction to AI and generative AI for all employees to understand core concepts, recognize useful applications, and use AI responsibly.
Go beyond AI basics to understand models, tokens, context, RAG, AI agents, and enterprise evaluation.
Hands-on foundation for generative AI tools, prompt principles, and everyday workplace assistance.
Generic AI training is failing the enterprise. A finance director, an HR manager, and a software engineer require fundamentally different AI capabilities. Discover why role-based enablement—anchored in actual workflows, decisions, and domain expertise—is the only sustainable path to enterprise AI value.
Most enterprises conflate AI literacy (knowing what AI is) with AI capability (knowing how to use AI effectively in your role). This confusion leads to generic training that fails to change behaviour or drive ROI. Discover how to build true AI capability.
Enterprise AI initiatives are failing at scale not due to technological flaws, but because traditional IT training models are entirely unsuited for probabilistic AI tools. Discover why a human-centred capability building approach is essential.
Every module, topic, activity and practical application, laid out in the detailed curriculum.