How to Use ChatGPT for Cybersecurity

How to Use ChatGPT for Cybersecurity

With the ever-growing complexities of cyber threats, leveraging the power of advanced AI tools like ChatGPT can prove to be a game changer in your cybersecurity efforts. By harnessing the potential of this cutting-edge language model, you can bolster your defense strategies, enhance threat intelligence, and even improve incident response times.

Incorporating ChatGPT into your cybersecurity toolkit not only allows you to analyze large volumes of data more efficiently, but it also provides you with valuable insights to better understand your vulnerabilities and risks. With the ability to detect patterns and anomalies, ChatGPT can help you stay one step ahead of potential adversaries, ensuring the safety of your organization’s digital assets.

This page is part of the How to Use ChatGPT guide. At the bottom of this page, you’ll find links to other use cases.

Threat Intelligence & Analysis

  • Extracting key information from threat reports

To analyze and summarize threat reports, start by drafting a prompt that directs the AI to extract the most important information from a given report. For example:

User prompt: Analyze the following threat report and provide me with the key information: “[Threat report content here.]”

AI response: The key information from this threat report includes the following:
1. Threat type: Ransomware attack
2. Targeted system: Corporate network
3. Attack vector: Phishing emails
4. Vulnerable software: Unpatched Windows systems
5. Defensive action: Update system and implement phishing awareness training

  • Providing a brief summary of a threat report

In addition to extracting key information, you can request a brief summary of the report. This is helpful when you are dealing with a lengthy or complex report. For example:

User prompt: Summarize the key points of the following threat report: “[Threat report content here.]”

AI response: The threat report reveals an increase in ransomware attacks targeting corporate networks. A majority of these attacks are perpetrated via phishing emails that exploit unpatched Windows systems. To mitigate this threat, it is advised to update IT systems regularly and conduct phishing awareness training for employees.

  • Comparing threat reports

If you have two threat reports that need to be compared, you can simplify the process by requesting a comparison from the AI. For example:

User prompt: Compare and contrast the findings of the following threat reports:
– Threat Report 1: “[Threat report content #1 here.]”
– Threat Report 2: “[Threat report content #2 here.]”

AI response: Threat Report 1 highlights a ransomware attack targeting corporate networks through phishing emails, while Threat Report 2 focuses on a DDoS attack affecting e-commerce websites. While the first report recommends updating systems and implementing phishing training, the second report recommends implementing DDoS mitigation solutions and monitoring website traffic for suspicious activities. Both reports stress the importance of prompt and effective response to reduce the potential impact on targeted organizations.

  • Identifying trends in threat reports

With the help of AI, you can identify emerging threats and vulnerabilities by detecting trends in a set of threat reports. For example:

User prompt: Identify trends and emerging threats based on the following cybersecurity threat reports:
– Threat Report 1: “[Threat report content #1 here.]”
– Threat Report 2: “[Threat report content #2 here.]”
– Threat Report 3: “[Threat report content #3 here.]”

AI response: From the given threat reports, there is a growing trend in ransomware attacks and supply chain compromises. These emerging threats exploit unpatched software and target third-party services to gain initial access. It’s crucial to prioritize patch management, proactive security measures, and regular audits of third-party services to reduce the risk of cyber-attacks.

  • Identifying latest vulnerabilities in a specific technology

To receive information about current vulnerabilities associated with a certain technology, draft a prompt that explicitly mentions the technology you’re focused on. For example:

User prompt: Provide a list of recent vulnerabilities discovered in IoT devices.

AI response: Here are some recently discovered vulnerabilities in IoT devices:
1. Vulnerability A: Weak default passwords, which can lead to unauthorized access.
2. Vulnerability B: Insufficient encryption of data during transmission between devices.
3. Vulnerability C: Outdated firmware lacking crucial security patches.
4. Vulnerability D: Insecure web interfaces susceptible to cross-site scripting attacks.

  • Generating summaries of threat intelligence sources

Keep track of emerging threats and vulnerabilities by requesting summaries of content from threat intelligence sources. For example:

User prompt: Summarize the latest cybersecurity news and emerging threats from the following sources:
– Blog Source 1: “[Blog post content #1 here.]”
– Forum Discussion 2: “[Forum discussion content #2 here.]”
– Research Paper 3: “[Research paper abstract #3 here.]”

AI response: The latest cybersecurity news and emerging threats include:

  1. An increase in highly targeted spear-phishing campaigns, as discussed in Blog Source 1. The attackers are using advanced social engineering techniques to improve their success rate.
  2. A new zero-day vulnerability has been discovered, affecting a widely used web application framework, as reported in Forum Discussion 2. Immediate patching is recommended to avoid potential exploits by threat actors.
  3. Research Paper 3 identifies the rising threat of machine learning-based adversarial attacks. It highlights the need for organizations to increase their emphasis on securing AI and machine learning systems.

Incident Response and Management

  • Identifying the severity of a security incident

Use AI to identify the severity of a security incident based on given information. An example prompt and response might look like this:

User prompt: Determine the severity of the following security incident: “[Incident description, including affected systems, data, and potential impact here.]”

AI response: Based on the provided information, this security incident can be categorized as high severity. The affected systems include critical infrastructure, and sensitive data is at risk of exposure. Immediate containment and remediation efforts are recommended to minimize potential damage.

  • Prioritizing incidents based on their attributes

Get assistance with incident prioritization based on the attributes of multiple incidents. For example:

User prompt: Prioritize the following security incidents based on their potential impact:
– Incident A: “[Incident description #1 here.]”
– Incident B: “[Incident description #2 here.]”
– Incident C: “[Incident description #3 here.]”

AI response: The security incidents should be prioritized as follows:
1. Incident B: This incident involves a critical vulnerability affecting numerous systems and has the potential for significant data loss.
2. Incident A: This incident targets a less critical system but still poses a potentially moderate impact on the organization’s reputation.
3. Incident C: This incident is relatively minor in scope and can be addressed after more urgent incidents have been resolved.

  • Assessing the effectiveness of containment actions

Evaluate containment actions by providing the details of your response and whether or not it was successful based on the information provided. For example:

User prompt: Evaluate the effectiveness of the following containment actions for a recent security incident: “[Containment actions and the observed results. Include details such as system recovery, additional affected systems, and ongoing monitoring efforts here.]”

AI response: The containment actions you’ve implemented appear to be effective. System recovery has been successful, and no additional systems were affected after implementing the containment measures. Continued monitoring efforts have not detected any new threats; however, it’s essential to remain vigilant and prepare for possible future incidents.

  • Creating an incident response plan guideline

Get assistance with generating a high-level incident response plan by providing key details about your organization’s requirements. For example:

User prompt: Provide a high-level incident response plan guideline for an organization in the financial industry with a focus on the detection, response, and recovery processes. Include relevant regulatory compliance considerations.

AI response:

1. Preparation: Establish a dedicated incident response team, maintain an inventory of all assets, and ensure employee training on security awareness and incident detection.
2. Detection and Analysis: Implement continuous monitoring and anomaly detection tools, build relationships with threat intelligence sources, and establish a process for employees to report incidents.
3. Containment, Eradication, and Recovery: Develop quarantine procedures for affected systems, perform root cause analysis, patch vulnerabilities, and restore systems from trusted backups.
4. Post-Incident Activities: Review incident response effectiveness, improve procedures based on lessons learned, and comply with relevant financial industry regulations such as GDPR or PCI-DSS when reporting incidents.

  • Developing a playbook for a specific incident type

Request the creation of an incident response playbook tailored to a specific kind of security incident. For example:

User prompt: Provide a playbook for responding to a ransomware attack, including detection, containment, eradication, recovery, and communication steps.

AI response:

1. Detection: Monitor for any signs of ransomware, including unexpected file encryption, ransom messages on the systems, and abnormal system behavior.
2. Containment: Isolate affected systems and networks to prevent ransomware from spreading to other devices, disable or remove malicious accounts, and block network traffic from known malicious IPs.
3. Eradication: Remove the ransomware using anti-malware tools and confirm the elimination of ransomware artifacts on affected systems.
4. Recovery: Restore data from secure backups or using decryption tools, reinstall affected systems, and implement additional security measures to prevent future attacks.
5. Communication: Inform relevant parties, such as employees, law enforcement, and regulatory agencies, about the incident and provide updates on status, recovery, and preventative measures.

  • Providing guidance for conducting a post-incident review

Draft a prompt to help you gather a list of steps for effectively conducting a post-incident review. For example:

User prompt: List the steps to conduct a post-incident review for a cybersecurity incident, with a focus on improving the incident response process and security measures.

AI response:

1. Assemble incident response team members for a debrief.
2. Review the timeline and details of the incident, including detection, triggering factors, scope, and resolution efforts.
3. Assess the effectiveness of the incident response, including the communication, containment, and recovery processes.
4. Identify lessons learned and areas for improvement in the response process, such as personnel training, communication protocols, or technical controls.
5. Compile a report detailing the incident, analysis, lessons learned, and recommended actions for future prevention and response improvements.
6. Implement the recommended actions and update relevant policies, procedures, and playbooks accordingly.

Security Awareness and Training

  • Generating security awareness training topics

You can request a list of relevant security awareness training topics tailored to your organizational needs. For example:

User prompt: Provide a list of cybersecurity awareness training topics suitable for employees of a healthcare organization, focusing on compliance with HIPAA regulations and common threats in the industry.

AI response:

1. Fundamentals of HIPAA and the importance of protecting patient data.
2. Identifying and preventing phishing attacks targeting healthcare employees.
3. Creating and maintaining strong passwords and multi-factor authentication.
4. Secure handling and disposal of sensitive physical and digital information.
5. Recognizing and mitigating social engineering attacks.
6. Reporting potential security incidents and breaches.

  • Drafting security training materials

Ask for help creating a specific section of your training material or a particular scenario. For example:

User prompt: Write an introduction section for a cybersecurity training module, emphasizing the importance of security awareness, the risks associated with poor security practices, and the role employees play in keeping the organization safe.

AI response: Welcome to our cybersecurity training module! In today’s digital world, security awareness is more important than ever. As an employee, you play a crucial role in maintaining our organization’s security and protecting sensitive data. This training will help you understand the risks associated with poor security practices and the impact they can have on our organization, our customers, and our reputation.

Cybersecurity is a collaborative effort, and even small lapses in security can create opportunities for attackers. By understanding your role and adopting good security habits, you help create an environment in which your colleagues, the organization, and our information assets remain safe from cyber threats.

  • Answering questions or clarifying concepts

Get assistance in explaining challenging cybersecurity topics or concepts for your training materials. For example:

User prompt: Explain the concept of social engineering in layman’s terms, highlighting common techniques, and provide examples of how employees can defend against it.

AI response: Social engineering is a term used to describe the manipulative tactics that cybercriminals use to trick people into revealing sensitive information, like passwords or personal data. Instead of exploiting computer systems, social engineers exploit human psychology to deceive their victims.

Common techniques of social engineering include phishing emails, scam phone calls, and impersonating someone familiar to the target. These tactics usually prey on trust, fear, or curiosity.

To defend against social engineering, employees should be cautious when sharing any sensitive information. They should verify the identity of the person requesting the information, be skeptical of unexpected emails or calls, and never click on suspicious links or attachments in emails. Educate yourself on the latest social engineering tactics and keep an eye out for warning signs. If something feels off, trust your instincts and double-check before taking any action.

  • Crafting interactive quizzes and knowledge checks

You can request assistance in developing engaging quizzes or question-based knowledge checks to include in your training content. For example:

User prompt: Create a short multiple-choice quiz to assess employee understanding of phishing attacks, including questions on identifying suspicious emails, the purpose of phishing, and best practices for avoiding phishing attempts.

AI response:

1. What is the primary goal of phishing attacks?
a. To sell products
b. To gather sensitive information
c. To improve website traffic
d. To promote events

2. Which of the following is a warning sign of a potential phishing email?
a. Generic greetings
b. A familiar sender
c. A well-formatted email
d. A company logo

3. What should an employee do if they suspect an email might be a phishing attempt?
a. Delete the email immediately
b. Respond to the email asking for more information
c. Report the email to the IT department or supervisor
d. Forward the email to colleagues for their input

  • Creating learning scenarios or case studies

Seek help in turning real-world cybersecurity incidents into educational examples, discussions, or exercises for employees. For example:

User prompt: Design a case study related to a data breach where weak passwords were the main cause, focusing on the potential negative consequences and the importance of implementing strong passwords and multi-factor authentication.

AI response:

Case Study: Data Breach Due to Weak Passwords

A mid-sized company, XYZ Corp, experienced a significant data breach that exposed customer data, including names, email addresses, and phone numbers. Investigation revealed that the breach occurred due to an employee’s weak password being compromised by a brute-force attack.

– Financial: The company faced hefty fines due to regulatory non-compliance.
– Reputational: Damage to brand and negative media coverage led to lost business and customers.
– Operation: Increased costs to remediate the breach and implement stronger security measures.

Discussion Points:
1. How could the use of strong, complex passwords have prevented this breach?
2. Why is multi-factor authentication critical for protecting against brute-force attacks?
3. What other security measures can be implemented to prevent similar incidents in the future?

  • Developing cybersecurity role-playing scenarios

Ask for assistance in creating role-playing exercises that immerse employees in realistic cybersecurity situations to test their knowledge and response strategies. For example:

User prompt: Create a role-playing scenario where an employee receives a phone call from a social engineer posing as the IT department, attempting to obtain sensitive information. Outline the setup, the social engineer’s strategy, and the recommended employee response.

AI response:

Scenario: Social Engineering Phone Call

Setup: Imagine that you are working at your desk when you receive a phone call from someone claiming to be from the IT department. They seem friendly and mention some recent system updates that may have caused issues for some employees.

Social Engineer’s Strategy: The caller might say they need your login credentials to fix your account or to prevent it from being locked out. They may sound knowledgeable and use technical jargon to trick you into believing they’re genuine.

Recommended Employee Response:
1. Be cautious and never provide sensitive information over the phone without verifying the caller’s identity.
2. Ask for the caller’s name and extension, then say you need to call them back.
3. Cross-check the caller’s information with the internal directory and report suspicious calls to your supervisor and IT department.

Security Policy and Compliance

  • Evaluating security policy effectiveness

Use this tool to analyze your security policies and offer suggestions for improvement. For example:

User prompt: I have a policy that states employees should change their passwords every 30 days. Can you identify potential issues with this policy and recommend an alternative approach?

AI response:

Potential Issues:
1. Frequent password changes may lead to employees creating weaker passwords or reusing old ones.
2. Users may struggle to remember strong, unique passwords when changed so often, increasing the risk of them writing passwords down.

Alternative Approach:
Consider implementing a policy that requires the use of strong, unique passwords and multi-factor authentication, with password changes prompted in response to specific events (e.g., a security breach or suspected compromise).

  • Comparing your security policies to industry standards

Request comparisons between your current policies and industry best practices to ensure you’re on par with the highest standards. For example:

User prompt: Compare our current password policy (minimum 8 characters, including one uppercase letter and one number) to the recommendations from the National Institute of Standards and Technology (NIST).

AI response: Your current password policy requires a minimum of 8 characters, one uppercase letter, and one number. NIST guidelines recommend the following:

1. Minimum password length of 12 characters for better security.
2. Encourage the use of passphrases instead of complex passwords with special character requirements.
3. Disallow common, easily guessable passwords.
4. Implement a password blacklist to prevent the use of common or compromised passwords.

You may want to consider updating your policy to adhere to these NIST recommendations for improved security.

  • Reviewing compliance with specific regulations

Ask for help determining if your policies satisfy specific regulatory requirements, identifying any gaps or inconsistencies. For example:

User prompt: Check if our data retention policy meets the requirements of the General Data Protection Regulation (GDPR). Our current policy retains customer data for five years with no distinction between personal and non-personal data.

AI response: Under the GDPR, personal data must be:

  1. Processed lawfully, fairly, and transparently.
  2. Collected for specified, explicit, and legitimate purposes.
  3. Adequate, relevant, and limited to what is necessary.
  4. Accurate and kept up-to-date where necessary.
  5. Retained only as long as necessary.

Your current data retention policy does not seem to distinguish between personal and non-personal data, and retaining customer data for five years may not align with the GDPR’s principle of data minimization, which requires retaining personal data only as long as necessary.

You may need to review your data retention policy to ensure it adheres to GDPR requirements, which could include setting more specific retention periods for different types of data and implementing a distinction between personal and non-personal data.

  • Verifying alignment with specific regulations

Use this tool to evaluate your organization’s compliance with specific regulatory requirements by inputting your current security policies and practices. For example:

User prompt: How does our data encryption policy align with the GDPR requirements? We currently store all user data on encrypted servers and use AES-256 encryption for data in transit and at rest.

AI response: Your data encryption policy appears to be in line with GDPR requirements. The GDPR mandates that personal data must be protected using appropriate technical measures, including encryption. Using AES-256 encryption for data in transit and at rest, along with storing user data on encrypted servers, demonstrates a strong commitment to safeguarding personal data in compliance with GDPR.

  • Ensuring adherence to industry standards

Ask for guidance on whether your organization’s policies are consistent with well-known industry standards such as NIST and ISO. For example:

User prompt: Check if our access control policy aligns with the ISO 27001 standard. We currently apply role-based access control (RBAC), enforce strong authentication, and perform periodic audits of user account privileges.

AI response: Your access control policy appears to be in line with the ISO 27001 standard. ISO 27001 recommends implementing access controls, such as RBAC, to limit the risk of unauthorized access. Additionally, your focus on strong authentication and periodic audits of user account privileges demonstrates a commitment to maintaining tight security controls and complying with ISO 27001 guidelines.

  • Reviewing security awareness training for compliance

Evaluate whether your organization’s security awareness training meets regulatory requirements and industry best practices. For example:

User prompt: Assess our security awareness training program in relation to the HIPAA Security Rule. Our training covers topics such as protecting patient data, social engineering attacks, and secure email practices.

AI response: Your security awareness training program seems to align well with the HIPAA Security Rule requirements. The HIPAA Security Rule mandates that covered entities provide regular training for workforce members regarding the protection of electronic protected health information (ePHI). By educating employees on protecting patient data, recognizing social engineering attacks, and using secure email practices, you’re actively reinforcing the importance of ePHI protection and supporting compliance with the HIPAA Security Rule.

Penetration Testing and Vulnerability Management

  • Generating real-world test scenarios for penetration testing

Ask for suggestions on creating various penetration testing scenarios that mimic real-world cyberattacks. For example:

User prompt: Provide three real-world test scenarios for our web application penetration testing that involve SQL injection, cross-site scripting (XSS), and a file upload vulnerability.

AI response:

Scenario 1 – SQL Injection:
The attacker targets the login page by submitting specially crafted input in the username and password fields to exploit potential vulnerabilities in SQL queries used by the application for authentication.

Scenario 2 – Cross-Site Scripting (XSS):
The attacker injects malicious JavaScript code into a vulnerable user input field, such as the comments section or search bar. Upon submitting the input, the malicious code gets executed in the victim’s browser, potentially leading to sensitive data being compromised.

Scenario 3 – File Upload Vulnerability:
The attacker exploits a file upload feature that lacks proper validation, uploading a malicious file (e.g., shell scripts or web shells) and gaining unauthorized access or executing malicious code on the server.

  • Identifying potential attack vectors for specific systems

Request assistance in identifying possible attack vectors targeting specific systems or platforms you’re using. For example:

User prompt: What are some possible attack vectors for a web server running Apache and PHP, with remote access enabled over SSH and RDP?

AI response:

1. Exploiting known vulnerabilities in the Apache or PHP versions being used.
2. Brute-forcing SSH or RDP credentials to gain unauthorized access.
3. Taking advantage of misconfigurations in the web server or SSH/RDP settings.
4. Injecting malicious code through unsecured file upload functionality or user input fields on the web application.

  • Developing test cases for social engineering attacks

Ask for guidance in creating various social engineering attack scenarios to test your employees’ awareness and preparedness. For example:

User prompt: Design three social engineering test scenarios targeting our employees, focusing on phishing, vishing, and pretexting.

AI response:
Scenario 1 – Phishing:
Simulate a phishing email that appears to come from your company’s IT department, requesting employees to urgently click on a link and update their account credentials, leading to a fake login page designed to steal the entered information.

Scenario 2 – Vishing:
Conduct a vishing test call pretending to be a representative from the IT department, inquiring about the employee’s computer and requesting sensitive information such as their username, password, or VPN access credentials.

Scenario 3 – Pretexting:
Design a situation where a person poses as a vendor, new employee, or facility maintenance staff by using a convincing backstory. The attacker then attempts to gain physical access to restricted areas of the office or gather sensitive information from employees.

  • Summarizing high-level findings from the penetration test report

Ask for a high-level summary of the key findings and identified vulnerabilities within a penetration test report. For example:

User prompt: Summarize the key findings from our web application penetration test, which revealed vulnerabilities related to SQL injection, cross-site scripting, and insecure file uploads.

AI response:

The web application penetration test identified three critical vulnerabilities:

1. SQL Injection: Attackers can exploit vulnerable SQL queries in the authentication mechanism, potentially leading to unauthorized access and data exposure.
2. Cross-Site Scripting (XSS): Input fields on the application lack proper validation and filtering, allowing attackers to inject malicious JavaScript code that can run in a user’s browser.
3. Insecure File Uploads: Missing validation in the file upload feature may allow attackers to upload malicious files, compromising the server or executing code remotely.

  • Providing remediation steps for specific vulnerabilities

Request guidance on addressing specific vulnerabilities discovered during the penetration testing process. For example:

User prompt: Provide remediation steps for the SQL injection and cross-site scripting vulnerabilities found in our web application.

AI response:

SQL Injection Remediation:
1. Use parameterized queries or prepared statements to separate SQL queries from data.
2. Employ least privilege principles when configuring database access permissions.
3. Regularly update and patch your database management system.

Cross-Site Scripting (XSS) Remediation:
1. Implement input validation and filtering to prevent unsafe user input.
2. Encode data when output is displayed to users, using libraries to safely render untrusted input.
3. Enable a Content Security Policy (CSP) header to mitigate the impact of successful XSS attacks.

  • Suggesting follow-up actions after implementing remediation measures

Ask for recommendations on what to do after implementing remediation steps, such as retesting or ongoing monitoring. For example:

User prompt: What follow-up actions should be taken after addressing the identified vulnerabilities in the web application, including retesting, patch management, and continuous monitoring?

AI response:

  1. Retesting: Perform a retest of the web application to validate that the implemented remediation measures effectively mitigate the identified vulnerabilities.
  2. Patch Management: Establish a strong patch management process to ensure timely updating and patching of software components and dependencies, minimizing exposure to known vulnerabilities.
  3. Continuous Monitoring: Implement a continuous monitoring strategy to proactively detect potential security issues or configuration changes, enabling the security team to respond swiftly to new threats.

Cybersecurity Tools and Solution Evaluation

  • Advising on the best tools or solutions for specific security use cases

Ask for recommendations about security tools or solutions that align with your organization’s specific needs or requirements. For example:

User prompt: What are some top-rated endpoint security solutions for a mid-sized organization with a limited budget, high emphasis on usability, and a mix of Windows and macOS devices?

AI response: Considering your budget constraints, emphasis on usability, and support for both Windows and macOS, here are three endpoint security solutions worth considering:

1. ESET Endpoint Security: This solution offers comprehensive protection, is lightweight, and provides an easy-to-use management console.
2. Sophos Intercept X: Sophos provides strong protection against various threats and features an intuitive interface, suitable for organizations of different sizes.
3. Avast Business Antivirus: An affordable option that delivers solid malware protection, along with a user-friendly management console and support for multiple platforms.

  • Comparing features and performance among different security tools

Request a comparison of features, performance, or other aspects of different security tools applicable to your organization’s needs. For example:

User prompt: Please compare the features, user experience, and pricing of Tenable Nessus, Rapid7 InsightVM, and Qualys Vulnerability Management for vulnerability scanning and assessment in a small business setting.

AI response:

Tenable Nessus:
– Features: Offers accurate vulnerability scanning with a large plugin library, supporting various platforms and network devices.
– User Experience: Easy to use and configure, with a comprehensive dashboard that displays identified vulnerabilities.
– Pricing: Tenable offers Nessus Essentials for free (limited features) or Nessus Professional, which requires a per-scanner annual subscription.

Rapid7 InsightVM:
– Features: Provides real-time vulnerability data, integrates well with other IT and security tools, and supports custom reporting.
– User Experience: Has a clean and intuitive dashboard that offers actionable insights and prioritizes risk.
– Pricing: Based on the number of active assets licensed per year and may be on the higher side for small businesses.

Qualys Vulnerability Management:
– Features: Delivers continuous vulnerability scanning, automated security assessment, and integrates with popular cloud platforms.
– User Experience: Offers a user-friendly platform with detailed vulnerability reports and a dashboard that showcases threat trends.
– Pricing: Follows a subscription model based on IP addresses or assets scanned, making the service adaptable based on your organization’s size.

  • Identifying suitable open-source security tools for specific tasks

Ask for guidance on finding open-source security tools that can assist in specific tasks or tasks within the scope of your organization’s requirements. For example:

User prompt: What are three open-source tools suitable for network monitoring and intrusion detection in a small organization with Linux systems and a tight budget for security tools?

AI response:

  1. Wireshark: A popular network protocol analyzer that allows you to examine network traffic in real-time, providing deep insights into your network’s health and potential security issues.
  2. Snort: A widely used open-source intrusion detection system (IDS) that can monitor and analyze network traffic, detecting potential attacks or intrusions on your Linux systems.
  3. Security Onion: A comprehensive Linux distribution that combines multiple open-source security tools, including network monitoring, intrusion detection, and analysis capabilities, tailored for small organizations with limited budgets.
  • Analyzing the features and capabilities of specific cybersecurity products

Request insights on the features and capabilities of particular cybersecurity products you are interested in. For example:

User prompt: Explain the key features and capabilities of Palo Alto Networks’ Cortex XDR for threat detection, investigation, and response in enterprise environments.

AI response: Palo Alto Networks’ Cortex XDR offers the following key features and capabilities for threat detection, investigation, and response in enterprise environments:

1. Unified Data Collection: Cortex XDR collects data from multiple sources, including network, endpoint, and cloud sources, providing a holistic view of the security landscape.
2. Advanced Analytics: It uses machine learning, behavioral analytics, and threat intelligence to identify and prioritize threats, reducing investigation times and false positives.
3. Incident Response: Cortex XDR streamlines the response process with built-in automation and playbook capabilities, allowing security teams to rapidly react to threats.
4. Comprehensive Visibility: The platform offers complete visibility into an organization’s security posture, enabling security teams to monitor, detect, and respond to threats across the entire attack surface.

  • Comparing competing cybersecurity products or solutions

Ask for a comparison of multiple cybersecurity products or solutions, highlighting their features or capabilities, to help you make an informed decision. For example:

User prompt: Provide a brief comparison of the key features and capabilities of CrowdStrike Falcon and Carbon Black’s VMware Carbon Black Cloud for endpoint protection in a large organization.

AI response:

CrowdStrike Falcon:
– Single lightweight agent: Falcon requires only one agent installation per endpoint, reducing system overhead.
– AI and machine learning: Uses AI and ML techniques to identify malware and other threats, even those without signatures.
– Threat intelligence: CrowdStrike’s threat intelligence provides real-time data on the latest threats, enhancing detection and prevention.
– Cloud-native architecture: Falcon’s cloud-native structure enables seamless scaling, fast deployment, and easy management.

VMware Carbon Black Cloud:
– Unifying security capabilities: Offers endpoint protection, detection, and response in a single cloud-native solution.
– Customizable protection policies: Allows organizations to fine-tune their defense by creating custom policies.
– Continuous monitoring and recording: Records endpoint activities, providing forensic data for threat analysis.
– Integration with VMware: Offers seamless integration with VMware solutions and adds native support for containerized security.

  • Evaluating the suitability of cybersecurity tools for specific environments or use cases

Ask for advice on evaluating the suitability of specific cybersecurity tools or solutions for your organization’s needs or the environments you operate in. For example:

User prompt: How suitable is the open-source ELK Stack (Elasticsearch, Logstash, and Kibana) for monitoring network security and user activities in a hybrid cloud environment operated by a mid-sized organization?

AI response:
The ELK Stack is quite suitable for monitoring network security and user activities in a hybrid cloud environment, especially for a mid-sized organization. Key factors supporting this suitability are:

  1. Scalability: Elasticsearch efficiently handles large amounts of data, providing the ability to scale as your organization’s data volume grows.
  2. Flexible Data Processing: Logstash can ingest data from various sources, transforming and processing it to suit your specific requirements.
  3. Customizable Visualizations: Kibana’s rich visualization options help create customized dashboards to monitor network security and user activities in real-time, allowing for faster detection and response to potential issues.
  4. Open-source and cost-effective: Being open-source makes the ELK Stack more accessible for mid-sized organizations and offers the flexibility to develop custom features as needed. However, keep in mind that the cost of cloud infrastructure, personnel, and maintenance can add up over time.

🙌 Responsible use of AI & ChatGPT

To fully capitalize on this cutting-edge technology, it’s important to keep ethical considerations and limitations in mind.

  1. Navigating Ethical Considerations: When using ChatGPT to assist with any topic, bear in mind the ethical aspects involved. Take the advice it offers with a pinch of salt and always verify suggestions before putting them into practice.
  2. Double-checking Accuracy and Reliability: Ensure the information ChatGPT provides is accurate and relevant to your topic. Confirm its validity by cross-referencing with trustworthy sources.
  3. Putting Privacy and Security First: Be conscious of the data you share while interacting with ChatGPT. Protect your personal and sensitive information by avoiding unnecessary disclosures and following recommended security practices.
  4. Being Aware of AI-based Assistance Limitations: Recognize that ChatGPT might not have all the answers for every topic. Use it as a helpful sidekick rather than an all-knowing oracle.
  5. The Perfect Balance: Foster a productive partnership between AI and your own knowledge when exploring any subject. Let ChatGPT spark new ideas and possibilities while trusting your creativity and intuition for your final decisions.

P.S. – No one asked me to put this disclaimer here, but I did anyway. ChatGPT, in particular, can be extremely potent when using it with a specific intention and prior domain knowledge.

ChatGPT Guides & Prompts

Interested in other domains also? Be sure to check out our full list of guides: