Bill Overview
Title: National Computer Forensics Institute Reauthorization Act of 2022
Description: This bill reauthorizes through FY2032 the National Computer Forensics Institute within the U.S. Secret Service. The bill expands the mission of the institute to include educating, training, and equipping law enforcement officers and others on preventing (in addition to investigating) cybersecurity incidents, electronic crimes, and related cybersecurity threats. The bill requires the institute to develop and share information related to investigating cybersecurity incidents, electronic crimes, and related cybersecurity threats. The bill also requires the institute to report annually on its activities.
Sponsors: Rep. Slotkin, Elissa [D-MI-8]
Target Audience
Population: Individuals affected by the National Computer Forensics Institute's expanded mission
Estimated Size: 1000000
- Law enforcement officers in the United States will be trained and educated by the National Computer Forensics Institute under the expanded mission.
- Agencies involved in investigating cybersecurity incidents and electronic crimes will benefit from the institute's developed resources and shared information.
- The general public may benefit indirectly from improved law enforcement capabilities to prevent and address cybersecurity incidents and electronic crimes.
- The education and resources provided by the institute may improve overall cybersecurity resilience in the United States.
Reasoning
- The policy primarily affects law enforcement officers by expanding their capabilities in cybersecurity investigation and prevention, potentially improving their job satisfaction and effectiveness.
- Indirect effects on the general public can manifest through improved cybersecurity practices leading to an enhanced sense of security and reduced incidents of cybercrime.
- The limited budget suggests that the immediate reach might be only partial, prioritizing certain areas or agencies initially before a wider rollout.
- Over time, as training becomes more widespread, and as resources and information become more prevalent, the effect might augment beyond the direct participants to broader societal benefits.
- The cost and logistical aspects of the policy imply that early stages may only include a small portion of the target audience of 1,000,000 law enforcement and related personnel.
Simulated Interviews
Police Officer (Los Angeles, CA)
Age: 35 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 20.0 years
Commonness: 15/20
Statement of Opinion:
- This act is crucial as it expands our training and resources.
- It will enhance our capabilities to deal with increasing cyber threats more effectively.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Federal Agent (New York, NY)
Age: 42 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 10/20
Statement of Opinion:
- Given the rise in cybercrimes, more training is essential.
- However, the budget seems limited for nationwide implementation.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 7 |
IT Specialist (Austin, TX)
Age: 28 | Gender: male
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 18/20
Statement of Opinion:
- This policy seems more aimed at law enforcement rather than private IT specialists.
- Without clear information sharing with private sectors, the impact might be minimal for us.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 6 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 7 | 6 |
| Year 20 | 7 | 6 |
Detective (Chicago, IL)
Age: 50 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 15.0 years
Commonness: 12/20
Statement of Opinion:
- Additional training would be beneficial but concerns about implementation across different states exist.
- Long-term impact could be positive if consistently funded.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 9 | 8 |
| Year 5 | 9 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 8 | 8 |
Cybersecurity Analyst (Miami, FL)
Age: 39 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 8.0 years
Commonness: 14/20
Statement of Opinion:
- The policy would align well with expanding joint efforts between public and private sectors.
- Sharing knowledge can decrease vulnerabilities, but execution remains key.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 9 | 7 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 7 |
University Professor (Seattle, WA)
Age: 45 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 16/20
Statement of Opinion:
- Policy should include partnerships with educational institutions for broader reach.
- Good step for law enforcement focus, long-term benefit for education could be better.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 6 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Local IT Technician (Denver, CO)
Age: 30 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 0.0 years
Commonness: 20/20
Statement of Opinion:
- Not directly affected as I work in small private sector businesses.
- It's important for public sectors but indirect for people like me.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 5 | 5 |
| Year 10 | 5 | 5 |
| Year 20 | 5 | 5 |
Start-up Founder (San Francisco, CA)
Age: 27 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 3.0 years
Commonness: 17/20
Statement of Opinion:
- While the policy is aimed at law enforcement, tech start-ups could gain insights if shared widely.
- Stimulates innovation indirectly through improved law enforcement capabilities.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 8 |
| Year 2 | 8 | 8 |
| Year 3 | 8 | 8 |
| Year 5 | 8 | 8 |
| Year 10 | 9 | 8 |
| Year 20 | 9 | 8 |
County Prosecutor (Boston, MA)
Age: 31 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 13/20
Statement of Opinion:
- This act will positively impact our ability to prosecute crimes with better-trained officers.
- Outcomes depend on effective information dissemination and utilization.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 8 | 7 |
| Year 2 | 8 | 7 |
| Year 3 | 9 | 7 |
| Year 5 | 9 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 7 |
Retired Cybersecurity Consultant (Phoenix, AZ)
Age: 60 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 5.0 years
Commonness: 5/20
Statement of Opinion:
- Policy is a step in the right direction, but ongoing budget commitment is crucial.
- Focus on cutting-edge technologies in training critical for staying ahead of cyber threats.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 6 |
| Year 2 | 7 | 6 |
| Year 3 | 8 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Cost Estimates
Year 1: $2500000 (Low: $2000000, High: $3000000)
Year 2: $2500000 (Low: $2000000, High: $3000000)
Year 3: $2500000 (Low: $2000000, High: $3000000)
Year 5: $2700000 (Low: $2200000, High: $3200000)
Year 10: $3000000 (Low: $2500000, High: $3500000)
Year 100: $4000000 (Low: $3500000, High: $4500000)
Key Considerations
- The effectiveness of the expanded missions and trainings will significantly depend on the quality of program delivery and the adoption rate among law enforcement agencies.
- Cybersecurity threats evolve rapidly, necessitating continuous updates to the training curriculum and tools provided.
- There may be coordination challenges between different law enforcement agencies and the institute, which could affect the efficient sharing of information and resources.