That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...

We succeed when the attacker fails to achieve their objective Our innovative approach introduces a modern SOC concept built ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

Abstract: This study focuses on the anomaly detection problem in Network Security Situational Awareness (NSSA). We systematically review traditional approaches and recent advancements based on Machine ...

The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over ...

Cybersecurity researchers have disclosed details of an npm package that attempts to influence artificial intelligence (AI)-driven security scanners. The package in question is eslint-plugin-unicorn-ts ...

Lin Tian receives funding from the Advanced Strategic Capabilities Accelerator (ASCA) and the Defence Innovation Network. Marian-Andrei Rizoiu receives funding from the Advanced Strategic Capabilities ...

Automating the retrieval and interpretation of security alerts from various Trend Vision One such tools as Workbench, Cloud Posture, and File Security. Allowing LLMs to gather information about ...

Abstract: In this letter, we investigate the security of fluid antenna system (FAS)-reconfigurable intelligent surfaces (RIS) communication systems. The base station (BS) employs a single ...

One malicious prompt gets blocked, while ten prompts get through. That gap defines the difference between passing benchmarks and withstanding real-world attacks — and it's a gap most enterprises don't ...