An adversarial attack attempts to make an AI system fail by supplying carefully designed input. The change may be almost invisible to a person while causing a model to misclassify an image, follow a malicious instruction, or reveal protected behavior. Attackers can exploit knowledge of the model or probe it through repeated queries. Defenses include adversarial training, input validation, access controls, monitoring, and tests that simulate realistic threats. No single defense removes every risk because attacks evolve alongside models. Security teams therefore evaluate the complete system, including connected tools, data pipelines, user permissions, and the consequences of an incorrect or manipulated output.
Anthropic co-founder Chris Olah told the Vatican that AI development cannot be left solely to technology companies, warning about commercial incentives, labor disruption, and the growing complexity of frontier AI systems.
Anthropic says its unreleased Mythos AI model has identified more than 10,000 high- and critical-severity software vulnerabilities as part of Project Glasswing, a cybersecurity initiative focused on protecting critical infrastructure and open-source software.
Pope Leo has called for stronger global oversight of artificial intelligence, warning that unchecked AI development could fuel misinformation, labor disruption, surveillance, and autonomous warfare.
Anthropic co-founder Chris Olah warned that AI development cannot be left solely to technology companies and called for greater oversight from governments, religious institutions, and civil society.
Anthropic is reportedly preparing to brief the Financial Stability Board on cyber vulnerabilities identified by its Mythos AI model.
OpenAI has renewed calls for an international AI oversight body modeled after the IAEA ahead of the Trump-Xi summit in Beijing. The proposal would place the U.S. at the center of global AI governance while including China in cross-border safety coordination.
Security researchers used Anthropic’s Claude Mythos Preview to help identify vulnerabilities and develop a macOS privilege escalation exploit targeting Apple’s M5 silicon.
Mistral AI is developing a cybersecurity-focused AI model for European banks as institutions seek alternatives to restricted U.S. systems like Anthropic’s Mythos.
Major U.S. banks are rapidly patching software vulnerabilities uncovered by Anthropic’s Mythos AI model as concerns grow over AI-driven cybersecurity risks. The system is reportedly identifying weaknesses and attack chains at speeds beyond traditional security workflows.
OpenAI has introduced Daybreak, a cybersecurity initiative designed to integrate AI-driven defense directly into software development workflows. The platform combines GPT-5.5 models, Codex Security, and partnerships with major security firms to automate vulnerability analysis and remediation.