Preferred learners
- Canada
- Academic experience
Categories
Project scope
- What is the main goal for this project?
-
The goal of this project is to build an AI Model for Cybersecurity Risk Assessments across multiple industry-standard Frameworks including privacy laws. This will involve several different steps for the learners, including:
Researching existing industry-standard frameworks and privacy laws.
- Collect Data
- Curate Data
- Validate the Accuracy of Data
- Review Data for Bias and Ethics consideration and correct data
- Create a AI Model using provided Platforms
Develop an AI model to assess cybersecurity risks based on trained data gathered from Industry Standard Frameworks.
Train the Data in the Development Environment, review the output for errors, and correct
Optimizing the model's performance and assessing areas for improvement.
Research other variables that can improve the accuracy of the model.
Account for additional variables in the model.
Testing the model and making improvements based on additional data.
Deploy trained data in the the Production environment
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, learners should demonstrate:
- Understanding of existing industry-standard frameworks for information security and privacy laws.
- Understanding of variables that affect the data accuracy of the AI model.
- Identification of areas for future improvement of the model.
Bonus steps would include:
- Testing the developed model with users and accounting for additional parameters.
Final deliverables should include:
- All source code.
- A written report explaining the design process and outcomes.
- What is the main goal for this project?
-
The goal of this project is to build an AI Model for Cybersecurity Risk Assessments across multiple industry-standard Frameworks including privacy laws. This will involve several different steps for the learners, including:
Researching existing industry-standard frameworks and privacy laws.
- Collect Data
- Curate Data
- Validate the Accuracy of Data
- Review Data for Bias and Ethics consideration and correct data
- Create a AI Model using provided Platforms
Develop an AI model to assess cybersecurity risks based on trained data gathered from Industry Standard Frameworks.
Train the Data in the Development Environment, review the output for errors, and correct
Optimizing the model's performance and assessing areas for improvement.
Research other variables that can improve the accuracy of the model.
Account for additional variables in the model.
Testing the model and making improvements based on additional data.
Deploy trained data in the the Production environment
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, learners should demonstrate:
- Understanding of existing industry-standard frameworks for information security and privacy laws.
- Understanding of variables that affect the data accuracy of the AI model.
- Identification of areas for future improvement of the model.
Bonus steps would include:
- Testing the developed model with users and accounting for additional parameters.
Final deliverables should include:
- All source code.
- A written report explaining the design process and outcomes.
- How will you support learners in completing the project?
-
IRM Consulting & Advisory will support student learners in completing this project by providing a Goodwill payment after project completion.
- What skills or technologies will help learners to complete the project?
-
In order to complete this project, learners can self-teach, but it is beneficial to be familiar with:
- AI and Machine Learning
- Cybersecurity Risk Assessments
- Data Analysis and Modeling
- Privacy Laws
- Software Development
Again, learners can complete this project without any of the prior knowledge listed here. Learners will be expected to research and learn more about the above as the project goes along.
About the company
- https://irmcon.com
- 2 - 10 employees
- Technology, It & computing, Defense & security
IRM Consulting & Advisory is a boutique Cybersecurity Consulting and Advisory firm providing services and solutions to Fintech, Health Technology and SaaS Companies to help them create a competitive advantage by building secure products for customers.
As your Trusted Advisor, we can help you build secure Products & Services, protect your Customer data and internal information assets and help you achieve and sustain industry standards and certifications such as SOC2, ISO27001, NIST 800-53, CIS Top 20, OWASP Top 10 and CSA STAR Level Certifications, Data Security & Privacy Regulations and more....
IRM Consulting & Advisory understands that choosing the right partner for your cybersecurity program gives your business a competitive advantage, reduces unforeseen costs and builds Trust in your Customers.