When detection capabilities lag behind model capabilities, organizations create a structural gap that attackers are ...

A UB study describes an AI system that aims to help prevent massive fraud in the medical and insurance industries.

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

The UB team – consisting of Ratha and PhD students Arjun Ramesh Kaushik and Tanvi Ranga – presented their study, “Detecting ...

A new research study showcases compelling evidence for AI-based mental health apps. Limitations exist. An AI Insider scoop.

Six security teams shipped six OpenClaw defense tools in 14 days. Three attack surfaces survived: runtime semantic ...

Shy Girl, a horror novel by Mia Ballard, was one of those buzzy books that leapt from self-published prominence into full-on ...

Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need ...

The debate has not been settled, but what is clear is that the use of generative AI is growing and is here to stay. But ...

Indirect prompt injection represents a more insidious threat: malicious instructions embedded in content the LLM retrieves ...

In an agentic world, that means AI systems must have explicit, verifiable identities of their own, not operate through ...

Explore IronClaw by NEAR, a security focused AI agent framework built in Rust and designed to protect secrets with encrypted ...