Why did Mythos surprise you during software security and exploit testing?
Replied byDario Amodei
Co-founders (CEO & President) at Anthropic
Niche: AI
Revenue: Approx. $390 Million/month
Location: San Francisco, California, United States
Started: 2021
During safety testing, we found that Mythos was significantly better than human software engineers at identifying exploits and vulnerabilities in code. We did not design it to be dangerous, but it turned out to be highly capable of both launching and defending against cyberattacks.
0
From the Full Interview
This answer is part of a full interview with Dario Amodei, Co-founders (CEO & President) at Anthropic.
Share this Answer
Found this insight valuable? Share it with your network to help others learn from Dario Amodei's experience.
Cite This Answer
Use this answer in your research, article, or academic work
Related Answers
What is the new Mythos model, and how did a capabilities jump occur?
By Dario Amodei
AI
Approx. $390 Million/mo
Why do startups hold a massive advantage during times of rapid landscape shifts?
By Sam Altman
AI
Approx. $2 Billion/mo
Crogl acts as an AI SOC agent that enables security teams to hunt threats and investigate alerts using all their existing data without having to move it.
By Monzy Merza
AI
Not Publicly Disclosed/mo
Why is data fragmentation a significant issue in security operations?
By Monzy Merza
AI
Not Publicly Disclosed/mo
Why is a simple chatbot insufficient for enterprise security operations?
By Monzy Merza
AI
Not Publicly Disclosed/mo
What are the three degrees of human decision-making in security automation?
By Monzy Merza
AI
Not Publicly Disclosed/mo
How will artificial intelligence reshape security operations over the next year?
By Monzy Merza
AI
Not Publicly Disclosed/mo