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’s OSS Scanner uses models including Claude Mythos to check eligible open-source projects. Maintainers receive findings without human review.
Anthropic’s new policy bans extreme, repeated abuse of Claude from November 12, while excluding ordinary frustration, disagreement, fiction and testing.
Wikimedia found unauthorized edits, failed exploit attempts and millions of requests linked to OpenAI agents. It reported no breach, but a possible outage impact.
Mistral launches a Large 4 API preview with a trillion-parameter architecture, discounted pricing and enterprise-focused benchmarks. Open weights are due later this month.
South Korea is investigating an Artex AI link to bank breaches affecting about 68,000 people, as security tools face scrutiny over possible misuse.
Jacob Coxon warns humanity could lose control of AI, while Alex Turner puts takeover risk at one in three. New York City weighs independent validation and shutdown safeguards.
Google has paused new OSS product-vulnerability reports after a surge in invalid automated submissions. Supply-chain reports remain open, with an update due in Q1 2027.
A Florida woman faces a written-threat charge after Anthropic’s safety system flagged Claude messages for human review and disclosure to police, investigators say.
Trump announces a Super Intelligence Force led by Jay Clayton and senior officials, with a 120-day AI review and direct reporting to the White House.
Can Gemini 4 Argon really match OpenAI’s models and Claude—or outperform them? Benchmarks show gains, but wider enterprise use will test those results.