AI-Powered Productivity

• Apply safe and responsible use: Use the S.E.C.U.R.E. framework to instantly vet a proposed use case (data input and action) against the six risk categories to determine if it's approved or requires escalation (e.g., identifying Confidential Information or Security Credentials concerns).

• Master prompt engineering for productivity: Use smart prompts and iterative refinement to get accurate, reliable, and relevant outputs from tools like Gemini and Copilot for daily tasks, such as summarizing content from work documents or drafting communications.

• Ensure output integrity/Evaluation of outputs: Critically review and quality-assure all GenAI outputs for accuracy, quality, and bias before using them, particularly avoiding use in isolation to make decisions directly affecting individuals.

• Protect data (Confidentiality and personal information): Recognise and avoid inputting personal information or confidential information (e.g., contracts, sensitive strategic plans) into public GenAI tools.

• Action risk flags/Pause and mitigate: Follow the escalation process outlined in the S.E.C.U.R.E. framework when a risk is identified, specifically to pause and evaluate the risk, attempt to mitigate it (e.g., anonymizing data), and if mitigation fails, seek explicit approval from DIT.

This is the operations staff and the 'regular user' to increase productivity and enhance their skillset.

Julio is a cybersecurity and technology leader with 15+ years of experience in the IT sector, I specialise in tech leadership. Some of my specialities is cyber risk management, technical leadership, industrial cybersecurity (OT/IoT) and technical training/education.