Develop a cybersecurity firm specializing in protecting the highly valuable intellectual property of large language models, specifically their 'weights,' from theft and unauthorized access. This addresses the unique vulnerability of LLMs where stolen weights can enable direct replication of the model.
Opportunity7.9
Why now
Increasing value of AI model weights, fear of IP theft (e.g., China stealing GPT-4 weights), rapid growth of the AI industry.
Market gap
Current cybersecurity isn't specifically tailored to the unique asset of LLM weights; opportunity to be 'index to the growth of artificial intelligence without directly needing some next Benchmark to hit.'
Business fit
Type
B2B SaaS / Cybersecurity Service
Target
Large Language Model developers (e.g., OpenAI, Anthropic) and enterprises deploying proprietary AI models.
Revenue
Millions to billions (implied by comparison to Chainalysis)
Founder
Experienced cybersecurity professionals with strong B2B connections in the tech and AI industry; someone from the 'current industry' with rapport and connections.
Scores
Problem
9.0
Feasibility
5.0
Why now
9.0
Go-to-market
7.0
Confidence
10.0
Proof signals
OpenAI spent $500M training GPT-4, making its weights highly valuable.
Analogy to Chainalysis in crypto, which secured digital assets (blockchain data) and was very successful even for 'crypto haters.'
"These firms are going to need top tier cybercity".
Keyword demand
Keyword
Volume
Growth
AI security
3,600/mo
0% YoY
LLM weights
70/mo
+22% YoY
cybersecurity
301,000/mo
0% YoY
intellectual property protection
720/mo
-28% YoY
US English Google Ads volume from DataForSEO; growth uses returned monthly search history.
Source episode
John Coogan (TBPN) gives you $1B BIG startup ideas3:12
building a cyber secur firm that's specifically designed to secure the now highest value digital Assets in the world maybe next to crypto and Bitcoin like if there's a whole bunch of Bitcoin that's really valuable but other than that the next most valuable digital asset has to be the weights to these large language models