top of page

AI Cybersecurity Awareness-Training Manual

Writer's picture: Chris AChris A

Comprehensive Training Manual


 


Robot with white head and mechanical body sits on a red bench using a tablet, set in a room with a window showing a grassy field.

Optimise Cyber Solutions is a market leader in cybersecurity awareness training, providing bespoke solutions to help organisations safeguard their data and protect against evolving cyber threats. With years of experience managing complex cybersecurity incidents and helping businesses achieve cybersecurity awareness compliance; supporting standards such as ISO 27001 and Cyber Essentials, we are uniquely positioned to educate and protect businesses against modern threats, including those posed by Artificial Intelligence (AI).



 

Contents

  1. Introduction to AI in Business

  2. Cybersecurity Risks of AI

  3. Data Protection and Legal Compliance

  4. Real-World Examples of AI Exploitation

  5. Best Practices for Secure AI Use

  6. Employee Guidelines for AI Use

  7. Incident Response and Reporting

  8. Further Training and Support

  9. Take Action Today


 

1. Introduction to AI in Business

Artificial Intelligence (AI) tools like ChatGPT, image generators, and automated decision-making systems are revolutionising business operations. They increase efficiency, support decision-making, and drive innovation. However, when not used responsibly, AI tools pose significant cybersecurity and data protection risks.


Why Businesses Use AI:

  • Automation: Streamlining workflows and reducing manual tasks.

  • Content Creation: Generating marketing content, reports, and proposals.

  • Customer Service: Chatbots and virtual assistants.

  • Data Analysis: Analysing large data sets for insights.


Why Security Matters: AI systems process vast amounts of data. Without proper controls, these systems can become gateways for cybercriminals to access sensitive business information.


 

2. Cybersecurity Risks of AI


A smartphone captures a screen showing a head with glowing brain patterns. Dark background, tech theme, futuristic vibe.

a. Data Leaks and Exposure

  • Inputting sensitive data (e.g., client information, internal documents) into AI tools can lead to unintended data storage or exposure.

  • AI providers may store data on servers that are vulnerable to cyberattacks if not properly secured.


b. Phishing and Social Engineering

  • Cybercriminals now use AI to create highly convincing phishing emails and fake websites, making scams harder to detect.

  • AI-generated content can mimic tone, language, and branding to deceive employees.



c. Malware and Malicious AI Tools

Open laptop displaying a webpage titled "ChatGPT: Optimizing Language Models for Dialogue" with a green background and colorful bars.
  • Fake AI tools and apps can be embedded with malware.

  • Downloading or integrating unverified AI software can introduce vulnerabilities.


d. Prompt Injection Attacks

  • AI tools can be manipulated by malicious inputs (prompt injection) to bypass controls or extract sensitive information.


e. Over-Reliance on AI for Decision-Making

  • Blind trust in AI-generated outputs can result in poor decision-making, misinformation, and compliance violations.


 

3. Data Protection and Legal Compliance

Businesses in the UK are bound by the UK GDPR and Data Protection Act 2018, which govern how personal data must be handled. Misuse of AI tools can lead to serious data protection breaches.


The word "DATA*" is displayed in dark dots on glass, with a blurred building visible in the background. The mood is urban and modern.

Key Legal Considerations:

  • Lawful Data Processing: Do not input personal data into AI tools without a clear legal basis (e.g., consent, legitimate interest).


  • Purpose Limitation: Data collected for one purpose cannot be used for another without permission.


  • Data Transfers: AI tools hosted outside the UK/EU must comply with cross-border data transfer laws.


  • Right to Erasure and Access: AI tools must allow individuals to access or delete their data where applicable.


Non-compliance can lead to significant fines of up to £17.5 million or 4% of annual turnover and cause reputational damage.


 

4. Real-World Examples of AI Exploitation

Example 1: AI-Generated Phishing Emails

In 2023, Microsoft reported that cybercriminals were using AI tools to craft highly convincing phishing emails that closely mimicked legitimate internal communications. These emails were designed to trick employees into clicking malicious links, leading to credential theft and unauthorised system access (Microsoft Security Blog).


Example 2: Data Exposure through AI Tools

A 2023 report by Cyberhaven revealed that employees at several companies were using generative AI tools to draft documents, inadvertently inputting sensitive corporate data. This led to data being stored on third-party servers without proper security measures, posing severe compliance and confidentiality risks (Cyberhaven Report).


Example 3: Fake AI Tools Distributing Malware

In 2023, security researchers at ESET discovered fake versions of ChatGPT circulating online. These fraudulent AI tools were embedded with malware, enabling attackers to gain remote access to corporate networks and steal sensitive information from compromised systems (ESET Security Report).


 

5. Best Practices for Secure AI Use


A smartphone on a table shows the lock screen with time 9:41, date "Mon 10," and location "Tiburon." Keyboard visible on screen.

a. Use Approved AI Tools Only

  • Implement an AI Use Policy to regulate which tools are approved for business use.

  • Vet AI providers for security standards and data privacy compliance.


b. Avoid Entering Sensitive Data

  • Do not input confidential, client, or financial data into AI tools.

  • Use generic, non-sensitive prompts for AI queries.


c. Verify AI-Generated Content

  • Always fact-check AI-generated information against trusted sources.

  • AI should support, not replace, critical thinking.


d. Implement Access Controls

  • Limit access to AI tools to authorised personnel.

  • Use role-based permissions to control data input and access.


e. Regular Employee Training

  • Train employees to recognise AI-driven phishing attempts.

  • Provide guidance on secure and compliant AI usage.


 

6. Employee Guidelines for AI Use


  1. Only use company-approved AI tools.

  2. Never enter personal, client, or business-sensitive data into AI systems.

  3. Fact-check all AI-generated content before using it for decision-making.

  4. Report any suspicious AI tools or content to the IT/security team.

  5. Do not install unverified AI applications or plugins.

  6. Be aware of AI-generated phishing and scams.

  7. Engage in regular cybersecurity awareness training.


 

7. Incident Response and Reporting

In the event of suspected misuse or a security incident involving AI:

  1. Stop using the tool immediately.

  2. Report the incident to the IT or cybersecurity team.

  3. Contain and isolate any affected systems.

  4. Document the incident for further investigation.

  5. Notify the Data Protection Officer (DPO) if personal data may have been compromised.

Quick reporting can prevent escalation and minimise damage.


 

8. Further Training and Support


A 3D figure at a desk uses a computer showing green code on the screen, set against a smoky gray background.

Optimise Cyber Solutions offers tailored training to help businesses manage the risks associated with AI:

  • Cybersecurity Awareness Training

  • AI Security and Data Protection Workshops

  • Phishing Simulation Exercises

  • Cyber Incident Response Training


Contact Us:

24 views0 comments

Comments


Contact

Junction 38 Business Park,

Huddersfield Rd, Barnsley,

South Yorkshire,

United Kingdom,

S75 5QQ

Tel: 01226 694040

 

Keep up to date with Optimise

Sign-up to our regular updates.

© 2025 by Optimise Cyber Solutions. All rights reserved.

bottom of page