Artificial intelligence (AI) and machine learning (ML) are predicted to have a significant impact on future industrial cybersecurity. They can help monitor network traffic in real-time to detect ...

From data poisoning to prompt injection, threats against enterprise AI applications and foundations are beginning to move from theory to reality.

AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...

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

As enterprise digitization accelerates to drive growth and meet customer expectations, it’s vital security leaders have the right tools and strategies to keep businesses secure. Take AI innovation for ...

A new variant of the FileFix social engineering attack uses cache smuggling to secretly download a malicious ZIP archive onto a victim’s system and bypassing security software. The new phishing and ...

While the shortest distance between two points is a straight line, a straight-line attack on a large language model isn't always the most efficient — and least noisy — way to get the LLM to do bad ...

What security teams need to know about the browser-based attack techniques that are the leading cause of breaches in 2025. “The browser is the new battleground.” “The browser is the new endpoint”.