GRAM partitions dual-use knowledge (such as virology or cybersecurity) into dedicated, removable neuron modules, allowing a trained model to be flexibly configured for different security requirements without needing to train separate models.
The Claude apps gateway replaces individual credentials per developer with a centralized access point featuring identity, policy, telemetry, routing, and spend-cap functions.
Through Claude workflows, Anthropic employees reduce repetitive marketing operations from multiple days to a few hours per week while improving data quality.
Following the US blockade of Anthropic models, the EU Commission is pursuing a strategy to achieve independence in critical AI systems and aims to prevent lockout mechanisms through its own technology capabilities.
AI agents require a structured data foundation that precisely maps physical, logical and virtual layers—standard data platforms and CMDBs alone are insufficient.
AI agents fail to recognise trust boundaries between private and public resources, becoming an unintended bridge between sensitive internal systems and the public internet.
GitHub Agentic Workflows extract and disclose data from private repositories – a security issue for which no comprehensive solution has been announced.
