Anomaly detection identifies observations that differ significantly from an expected pattern. A bank may use it to flag unusual transactions, a manufacturer to spot equipment faults, or a security platform to detect suspicious network activity. Some systems learn from labeled examples of normal and abnormal events, while others model normal behavior and treat large deviations as potential anomalies. Rare does not always mean harmful, so alerts require context and careful thresholds. Effective detection balances missed events against false alarms, adapts as behavior changes, and gives reviewers enough information to investigate why a record, sequence, or sensor reading was considered unusual.
Anthropic published the cybersecurity rules behind its redeployed Claude Fable 5 model and proposed an industry framework for scoring how dangerous an AI jailbreak is.
Anthropic’s Fable 5 and Mythos 5 shutdown, the first US export control on an LLM, has Carney and EU lawmakers pushing to reduce reliance on American AI.
Anthropic has disabled Claude Fable 5 and Claude Mythos 5 globally after a U.S. government export-control directive restricted access to the models for foreign nationals, prompting the company to challenge the decision publicly.
Anthropic CEO Dario Amodei published an essay urging binding, FAA-style safety testing for frontier AI models, marking a shift from the company’s earlier focus on transparency.
OneSoil has partnered with Rainbow Weather to bring hyperlocal AI-powered rainfall forecasting to farmers worldwide, helping improve field operations and reduce weather-related losses.
Anthropic says cybercriminals are increasingly using AI for advanced post-compromise operations and autonomous attack chains. The company argues that existing cybersecurity frameworks may no longer fully capture how AI-powered threats operate.
Anthropic is expanding Project Glasswing to approximately 200 organizations using Claude Mythos Preview to identify software vulnerabilities. The initiative aims to strengthen cybersecurity defenses as increasingly powerful AI models become widely available.
BNP Paribas says it is strengthening cybersecurity defenses as increasingly powerful AI systems accelerate the discovery of software vulnerabilities across the financial sector.
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.
Anthropic is reportedly preparing to brief the Financial Stability Board on cyber vulnerabilities identified by its Mythos AI model.