OpenAI Launches GPT-5.5 Cyber AI, Outperforming Anthropic's Banned Model
OpenAI has launched its GPT-5.5-Cyber model, designed to locate and remediate software vulnerabilities, outperforming Anthropic's banned Mythos model on key benchmarks. The announcement details competition intensifying in the cybersecurity AI space while Anthropic's models remain offline due to a U.S. government directive, according to Decrypt.
On June 22, OpenAI officially launched its GPT-5.5-Cyber model, part of the Daybreak cyber defense initiative, which aims to enhance the identification and resolution of software vulnerabilities. This model achieved 85.6% in the CyberGym benchmark, which assesses AI agents’ ability to replicate known vulnerabilities, surpassing Anthropic’s Mythos 5, which scored 83.8%.
The release of GPT-5.5-Cyber comes amid significant scrutiny of other AI models in the market. Anthropic had its Mythos 5 and Fable 5 models taken offline on June 12 due to a national security export control directive issued by the Trump administration, citing concerns about a "jailbreak" vulnerability that could allow users to bypass safety measures. This has left Anthropic unable to operate their advanced models, while OpenAI moves forward with its cybersecurity offerings.
Anthropic’s CEO, Dario Amodei, had previously articulated concerns about the capabilities of Mythos, emphasizing the potential risks associated with its deployment. In an essay, he likened frontier AI models to aircraft that safety regulators could ground for failing audits. Now, with the U.S. government effectively grounding Mythos, the competitive landscape in AI-driven cybersecurity is evolving quickly.
OpenAI’s approach contrasts with Anthropic’s more restrictive deployment of AI technologies. The designated release of GPT-5.5-Cyber to trusted defenders marks a significant step in AI-driven cybersecurity, as it demonstrates OpenAI's agility in development despite regulatory challenges faced by competitors.<\/p>
Summary based on original reporting by Jose Antonio Lanz at Decrypt, originally published Jun 23, 2026. SolanaWire does not republish source content.
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