Depthfirst claims code vulnerability detection performance has surpassed Anthropic's latest model, Mythos

AI security startup Depthfirst announced that its self-developed AI model has outperformed Anthropic's latest model, Mythos, in code vulnerability detection. At roughly one-tenth the cost, it discovered more critical security flaws, drawing attention from the cybersecurity industry.

According to the company, a month before Mythos was launched, it claimed to have uncovered a large number of severe vulnerabilities in key internet infrastructure code. Depthfirst, however, stated that its model, at a lower cost (approximately $1,000 compared to $10,000), further identified multiple high-risk vulnerabilities that Mythos missed.

Depthfirst CEO Qasim Mithani said the company has improved vulnerability detection efficiency through a "single-task optimized AI model," significantly reducing the cost of security analysis while also enhancing coverage depth.

The company completed an $80 million funding round in March this year, achieving a valuation of $580 million. It simultaneously launched the "Open Defense Initiative," offering $5 million worth of AI detection credits to open-source developers and critical infrastructure projects for vulnerability scanning and security audits. (Forbes)