A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.
Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...
The Canadian Press on MSN
Canada’s spy watchdog to review security agencies’ use of artificial intelligence
Study to look at ‘potential gaps or risks’ stemming from agencies’ use of new and emerging tools, head of review body says ...
Shahar Azulay, CEO and cofounder of groundcover is a serial R&D leader. Shahar brings experience in the world of cybersecurity and machine learning having worked as a leader in companies such as Apple ...
In 2026, unified security platforms and AI-driven intelligence will continue to revolutionize campus safety by enabling ...
Working from home is great. Working from home and earning around $50 an hour is the dream, especially when you’re staring at ...
AI, cloud, and the increasingly interconnected nature of business and technology present CISOs with a range of risks and ...
As India’s workforce moves beyond traditional degrees, these demonstrable skills outline what will matter in 2026 and how ...
This concept isn’t new—in fact, it is the essence of representational state transfer (REST). Instead of converting to a ...
Explore the top antivirus solutions for Windows in 2025, focusing on comprehensive security, compliance, and resilience for enterprises in the evolving threat landscape.
The United States stands as the global hub of technological innovation, hosting some of the most influential Information ...
Terron T. Brown used stolen mail and social media recruits to defraud banks such as PNC and Bank of America of millions, highlighting a rising industry threat.
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