Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

Michael Roytman is a former distinguished engineer at Cisco, former chief data scientist at Kenna Security, and a Forbes 30 Under 30. “Essentially, all models are wrong, but some are useful.” —George ...

Learn how to secure MCP deployments with cryptographically agile policies and quantum-resistant encryption to protect AI infrastructure from advanced threats.

Protection must be embedded throughout the full data lifecycle, grounded in a robust inventory, clear classification, and ...

The arrival of DeepSeek’s R1 large language model (LLM) shocked the global AI ecosystem, causing many in the U.S. and Europe to reevaluate how we approach AI development. While LLMs from large ...

AI-assisted coding or ‘vibe coding’ is a trend that dominated last year, so much so that it was named word of the year for 2025. Since OpenAI co-founder Andrej Kaparthy coined the term, developers ...

A new artificial intelligence (AI) data security guidance encourages organizations to secure the data used by AI applications — an important consideration as AI use skyrockets while security lags ...

How Can Non-Human Identities Revolutionize Cloud Security? Can the effective management of Non-Human Identities (NHIs) transform cloud security? When organizations increasingly pivot towards cloud ...

A cybersecurity researcher says Recall’s redesigned security model does not stop same-user malware from accessing plaintext ...

Database provider Couchbase has unveiled a comprehensive suite of model hosting and data processing capabilities for building, deploying and governing agentic AI applications. By bringing data and ...