# Fred Heiding

> computer security researcher and postdoc at Harvard

**Wikidata**: [Q135910854](https://www.wikidata.org/wiki/Q135910854)  
**Source**: https://4ort.xyz/entity/fred-heiding

Here’s the structured biographical entry for Fred Heiding:

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## Summary  
Fred Heiding is a computer security researcher and postdoctoral researcher at Harvard University, specializing in artificial intelligence and national security. He is known for developing frameworks like the "Cybersecurity Strategy Scorecard" and pioneering tools such as "ScamBench" to evaluate cybersecurity threats.

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## Biography  
- **Occupation**: Security researcher, postdoctoral researcher, writer  
- **Employer**: Harvard University (since 2022, focusing on computer security)  
- **Field(s)**: Computer security, artificial intelligence, national security  
- **Notable Work**: "Cybersecurity Strategy Scorecard," "ScamBench (2025)"  

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## Contributions  
Fred Heiding has contributed significantly to cybersecurity and AI research. In 2024, he co-authored the "Cybersecurity Strategy Scorecard," a framework for evaluating national cybersecurity strategies, referenced by institutions like the Belfer Center and CSIAC. He is also developing "ScamBench," slated for release in 2025, to assess AI-driven phishing scams. His publications include peer-reviewed papers like those on IEEE Xplore (e.g., DOI: 10.1109/10466545) and articles in Harvard Business Review discussing AI-enhanced phishing threats. He has presented at Black Hat conferences, addressing AI's role in reshaping cyber threats.

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## FAQs  
### Q: What is Fred Heiding's role at Harvard?  
A: He is a postdoctoral researcher at Harvard University, focusing on computer security and AI since 2022.  

### Q: What is the Cybersecurity Strategy Scorecard?  
A: A framework Heiding co-developed to evaluate national cybersecurity strategies, adopted by organizations like the Belfer Center and featured in Black Hat talks.  

### Q: What is ScamBench?  
A: An upcoming tool (2025) by Heiding designed to benchmark and mitigate AI-powered phishing scams, as detailed on scambench.com.  

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## Why They Matter  
Fred Heiding's work bridges AI and cybersecurity, addressing critical gaps in national security and threat assessment. His "Cybersecurity Strategy Scorecard" provides governments and organizations with actionable metrics, while "ScamBench" anticipates future AI-driven scams. By publishing in venues like IEEE and HBR, he influences both academic and policy discussions. Without his research, the understanding of AI's role in cyber threats would lack empirical frameworks and proactive countermeasures.  

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## Notable For  
- Developing the "Cybersecurity Strategy Scorecard," a benchmark for national cybersecurity strategies.  
- Creating "ScamBench," a pioneering tool to evaluate AI-powered phishing scams (2025).  
- Publishing influential research in IEEE Xplore and Harvard Business Review.  
- Presenting at Black Hat conferences on AI and cybersecurity.  

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## Body  
### Career  
- **Postdoctoral Researcher at Harvard**: Joined in 2022, specializing in computer security and AI applications.  

### Key Works  
- **Cybersecurity Strategy Scorecard**: Co-authored framework adopted by the Belfer Center and cited in DTIC webinars.  
- **ScamBench**: Announced for 2025, aims to standardize phishing scam evaluations.  

### Publications  
- Peer-reviewed papers on IEEE Xplore (e.g., DOI: 10.1109/10466545).  
- Articles in HBR (2024) on AI-enhanced phishing threats.  

### Speaking Engagements  
- Presented at Black Hat US 2024 on national cybersecurity strategies.  

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## References

1. [Source](https://www.belfercenter.org/research-analysis/cybersecurity-strategy-scorecard)
2. [Source](https://www.lawfaremedia.org/article/ai-enhanced-social-engineering-will-reshape-the-cyber-threat-landscape)
3. [Source](https://www.belfercenter.org/people/fred-heiding)
4. [Source](https://www.youtube.com/watch?v=yppjP4_4n40&ab_channel=BlackHat)
5. [Source](https://www.youtube.com/watch?v=D3KKYD0JPcc&ab_channel=BlackHat)
6. [ArXiv](https://arxiv.org/abs/2412.00586)
7. [Source](https://www.weforum.org/stories/authors/fredrik-heiding/)
8. [IEEE Xplore](https://ieeexplore.ieee.org/document/10466545)
9. [Source](https://hbr.org/2024/05/ai-will-increase-the-quantity-and-quality-of-phishing-scams)
10. [Source](https://csiac.dtic.mil/webinars/a-framework-for-evaluating-national-cybersecurity-strategies/)
11. [Source](https://www.blackhat.com/us-24/briefings/schedule/#a-framework-for-evaluating-national-cybersecurity-strategies-40879)
12. [Source](https://scambench.com/)