Anthropic · Coinbase · OpenAI · Fortune Technology
The AI arms race in cybersecurity has started
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In 2019, sophisticated hackers spent weeks targeting Coinbase employees with emails from compromised Cambridge University accounts.
Key facts
- What might cost $10 million in hardware to run today could cost closer to $100,000 a year or two from now
- In 2019, sophisticated hackers spent weeks targeting Coinbase employees with emails from compromised Cambridge University accounts
- One recent model found a 27-year-old bug in OpenBSD, one of the most audited codebases on the planet
- The Coinbase security team caught it within hours after an employee report and automated alerts fired simultaneously
Summary
The Coinbase security team caught it within hours after an employee report and automated alerts fired simultaneously. The attacker needed weeks of social engineering and rare zero-days to get one shot at them. An AI-driven adversary wouldn’t need weeks. The last few months have made something clear that security teams across industries have been quietly preparing for: AI is and will continue to change how cyberattacks occur. Frontier AI models, such as those being built by Anthropic, OpenAI, and others, have crossed a capability threshold in cybersecurity that would have seemed speculative eighteen months ago. Today, that shift favors the defender.