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1. Cyber resilience

Cyber resilience is an organization’s ability to prepare for, withstand, respond to, and recover from cyber attacks while continuing important operations.

Cyber resilence

Focuses on preparing, responding, and recovering

Assumes some attacks may succeed

Uses backups, incident response plans, recovery processes

Goal: Minimize impact and restore operations

Cyber protection

Focuses on preventing attacks and reducing vulnerabilities.

Tries to stop threats before they happen

Uses tools like firewalls, antivirus, encryption

Goal: Prevent incidents

What is one thing you can do to build cyber resilience?

One thing I can do is develop strong cybersecurity habits and awareness by:

Using multi-factor authentication (MFA)

Recognizing phishing emails

Reporting suspicious activities

Keeping systems updated

Following security policies

What might get in the way of building cyber resilience?

Lack of cybersecurity awareness: Employees may not understand their role in security.

Over-reliance on technology: Organizations may believe security tools alone can stop all attacks.

Limited resources: Lack of budget, time, or skilled personnel can make resilience difficult.

Poor communication: Without clear communication plans, organizations may respond slowly during incidents.

Why is cyber resilience an effective response to human-centric vulnerabilities?

Cyber resilience is effective because it recognizes that humans can make mistakes and attackers often target people through phishing, social engineering, and deception.

Instead of assuming people will never make errors, cyber resilience prepares organizations to:

Train employees

Detect mistakes quickly

Respond effectively

Recover from incidents

2. Building a Cybersecurity Culture

A cybersecurity culture is the values, attitudes, and beliefs that encourage cyber-secure behaviors.

What are 2–3 behaviors you would like people to do to help the organization be cyber secure?

Recognize and report suspicious emails

Employees should carefully check links, attachments, and unusual requests before responding.

Use strong authentication practices

Employees should:

Use strong passwords

Enable MFA

Avoid password sharing

Protect sensitive information

Employees should:

Avoid sharing confidential data unnecessarily

Store information securely

Follow data protection policies

What are the values, attitudes, and beliefs that would drive these behaviors?

Values:

Protecting organizational and customer information is important.

Security is everyone’s responsibility, not only the IT department’s responsibility.

Attitudes:

Take security warnings seriously.

Beliefs:

Cyber attacks can happen to any organization.

Small mistakes can create major security problems.

Reporting incidents quickly helps reduce damage.

What mechanisms can you employ to create these values, attitudes, and beliefs?

Cybersecurity Training

Regular training helps employees understand threats such as phishing and ransomware.

Leadership Support

Managers and executives should demonstrate secure behavior and make cybersecurity a priority.

Communication Plans

Regular security updates, reminders, and awareness campaigns reinforce good practices.

Rewards and Recognition

Employees who report threats or demonstrate good security behavior should be recognized.

Performance Evaluation

Cybersecurity responsibilities can be included in employee evaluations.

3. Human-Centric Security Concerns from GenAI Tools

Concern 1: Data Leakage and Privacy Risks

a. Why is this a concern? Generative AI tools may store or process information entered by users. Employees may accidentally expose confidential company information by entering sensitive data into public AI tools.

Example:

An employee copies a company’s customer database into an AI chatbot to summarize it. The information may expose:

Customer names

Financial details

Business secrets

What behaviors minimize this risk?

Employees should:

Remove sensitive information before using AI tools.

Avoid entering confidential company data into unapproved AI systems.

Use only organization-approved AI tools.

Consult IT or management before using new AI services.

What mechanism can encourage these behaviors?

Organizations can use:

AI usage policies

Data protection training

Approved AI tool lists

Access controls

Monitoring of AI usage

Leadership communication about responsible AI use

Concern 2: AI Hallucinations and Over-Reliance on AI

Why is this a concern? Example

Generative AI can produce incorrect or misleading information, known as hallucinations. If people trust AI outputs without checking, they may make wrong decisions.

Example:

An employee uses AI to create a cybersecurity report. The AI provides incorrect vulnerability information, and the organization makes poor security decisions based on inaccurate data.

What behaviors minimize this risk?

Employees should:

Verify AI-generated information before using it.

Use human judgment and expertise.

Fact-check important outputs.

Avoid blindly following AI recommendations.

What mechanism can encourage these behaviors?

Organizations can implement:

Mandatory AI literacy training

Human review requirements

Clear AI usage guidelines

Management oversight

Regular evaluation of AI systems