A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

NordVPN denied allegations that its internal Salesforce development servers were breached, saying that cybercriminals ...

AEGIS AI launches a new visitor management system to enhance office security, streamline mail tracking, and ensure compliance ...

Overview:   Generative AI has moved from pilot projects to core finance systems with measurable cost and productivity ...

How California's groundbreaking data deletion law signals a fundamental shift in enterprise identity lifecycle management—and why your SSO infrastructure matters more than ever ...

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...

The government-provided artificial intelligence (AI) training data has been found to be incomplete, resulting in some AI ...

An AI roadmap is a living, breathing playbook that can guide an organization’s evolution into an AI-driven innovator. It’s ...

Fireblocks has announced the acquisition of TRES Finance, a specialist in crypto accounting, reconciliation, and financial ...

Financial institutions handle huge amounts of confidential data. They require strong security controls year-round. Installing ...

A unified approach represents the fundamental blueprint for organizations to achieve cyber resilience. By integrating the ...