Bill Overview
Title: National Cybersecurity Preparedness Consortium Act of 2021
Description: This bill allows the Department of Homeland Security to work with one or more consortia composed of nonprofit entities to develop, update, and deliver cybersecurity training in support of homeland security.
Sponsors: Sen. Cornyn, John [R-TX]
Target Audience
Population: Individuals involved in cybersecurity training and homeland security efforts
Estimated Size: 500000
- The bill focuses on a consortium to deliver cybersecurity training.
- Training is aimed at supporting homeland security, which involves various sectors related to national security.
- Cybersecurity training is essential for current and upcoming workforce in cybersecurity fields.
Reasoning
- The target population consists mainly of individuals involved in cybersecurity training and homeland security efforts, such as IT professionals, cybersecurity trainees, educators, and government employees.
- Most of these individuals are likely to see a positive or neutral impact from improved training initiatives, with some deriving substantial professional and personal benefits.
- Budget constraints indicate the program will have to strategically allocate resources to the most impactful or needy groups within the target population.
- A significant portion of the target population may not perceive direct changes but will experience indirect benefits such as improved national cybersecurity posture.
Simulated Interviews
Cybersecurity Analyst (San Jose, CA)
Age: 30 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 20.0 years
Commonness: 7/20
Statement of Opinion:
- I believe this policy will enhance our skills.
- Better training means more job security and fulfillment.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 9 | 7 |
| Year 3 | 9 | 7 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 6 |
| Year 20 | 8 | 5 |
Government Cybersecurity Specialist (Washington, D.C.)
Age: 45 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- This act aligns well with our efforts in policy integration.
- Quality training programs are essential for keeping up with evolving threats.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 7 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 6 |
| Year 20 | 9 | 6 |
Cybersecurity Bootcamp Instructor (Houston, TX)
Age: 32 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 4/20
Statement of Opinion:
- This can open up more resources for us to deliver cutting-edge content.
- It could make my job easier and more effective.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 5 |
| Year 5 | 9 | 5 |
| Year 10 | 9 | 5 |
| Year 20 | 8 | 4 |
University Student in Cybersecurity (Boston, MA)
Age: 28 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 20.0 years
Commonness: 6/20
Statement of Opinion:
- Access to better training programs will be invaluable for my career.
- I am optimistic about enhanced learning opportunities.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 5 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 5 |
| Year 20 | 9 | 5 |
Private Sector IT Manager (Atlanta, GA)
Age: 38 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 8/20
Statement of Opinion:
- We would welcome additional training opportunities, especially for entry-level employees.
- Cyber threats are evolving, and we need to evolve too.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 5 |
Chief Information Security Officer (CISO) (Seattle, WA)
Age: 52 | Gender: male
Wellbeing Before Policy: 9
Duration of Impact: 10.0 years
Commonness: 3/20
Statement of Opinion:
- Improvements in training will help us maintain our edge.
- High-quality training disseminated nationally can have cascading benefits.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 9 | 9 |
| Year 2 | 9 | 8 |
| Year 3 | 10 | 8 |
| Year 5 | 10 | 8 |
| Year 10 | 10 | 7 |
| Year 20 | 9 | 6 |
Entry-level Security Analyst (New York, NY)
Age: 26 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 20.0 years
Commonness: 7/20
Statement of Opinion:
- This policy can provide the stepping stones for my career advancement.
- Access to more training resources could be a game-changer.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 8 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 9 | 6 |
| Year 10 | 9 | 5 |
| Year 20 | 8 | 4 |
Cybersecurity Consultant (Chicago, IL)
Age: 40 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 6/20
Statement of Opinion:
- I support this policy as it standardizes and improves access to training.
- Training more experts is crucial to national cybersecurity.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 9 | 6 |
| Year 20 | 8 | 5 |
Freelance IT Specialist (Dallas, TX)
Age: 29 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 4/20
Statement of Opinion:
- I hope the policy includes more advanced training options that I can utilize.
- The broad implementation is promising but I wonder if it will reach freelancers effectively.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 5 |
| Year 20 | 6 | 4 |
State Government Cybersecurity Officer (Miami, FL)
Age: 35 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 10.0 years
Commonness: 5/20
Statement of Opinion:
- Provided training will enhance tools and techniques we use.
- More security training means better public service.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 9 | 8 |
| Year 3 | 9 | 8 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 8 | 6 |
Cost Estimates
Year 1: $50000000 (Low: $40000000, High: $60000000)
Year 2: $52000000 (Low: $41600000, High: $62400000)
Year 3: $54080000 (Low: $43264000, High: $64896000)
Year 5: $58320000 (Low: $46656000, High: $69984000)
Year 10: $67500000 (Low: $54000000, High: $81000000)
Year 100: $150000000 (Low: $120000000, High: $180000000)
Key Considerations
- The primary cost driver is the continuous development and scaling of cybersecurity training programs.
- Potential cost savings may arise from preventing cyber-attacks and improving national security infrastructure.
- Long-term economic stability and business confidence can benefit from enhanced cybersecurity formalizations.