GPT-5.4-Cyber

Reported Context (4)

Kamluk shared our discovery of fast16 at Black Hat Asia, he pointed to the failed attempts of Opus 4.6, GPT-5.4, Grok 4.2 Reasoning, Gemini 3.1 Pro, and DeepSeek Reasoner to triage the sample autonomously. At best, SentinelLabs Tests Frontier AI Models on Long-Horizon Malware Analysis
The OpenAI Codex, using the standard GPT-5.4 model, not their “cyber” flavors, results are pretty interesting: Mythos Marks an Acceleration in AI-Driven Vulnerability Discovery, Not a Beginning
Whether it’s Mythos or OpenAI’s GPT-5.4-Cyber, which was just announced on Tuesday, supercharged AI models in the hands of hackers will allow them to carry out attacks at machine speed, much faster than most businesses Darktrace Says Behavioral AI Can Help Defend Against AI-Driven Cyber Threats
While that’s technically a high-water mark for AISI’s CTF tests, recent competing models like GPT-5.4 and Anthropic’s own Opus 4.6 and Codex 5.3 showed comparable results (within 5 to 10 percent accuracy) across UK Evaluation Finds Mythos Leads on a Simulated Multistep Cyberattack Test

CVE (1)

Malware (1)

People (15)

MITRE ATT&CK (2)

Vendors (6)

Products (33)

Tools (5)

Countries (1)

Note: Related entities, including threat actors, malware, CVEs, MITRE ATT&CK techniques, vendors, products, tools, countries, and industries, are shown when they appear in the same reporting. Their presence does not necessarily mean they were targeted, compromised, vulnerable, responsible for the activity, or directly involved in the incident.