BOSTON--(BUSINESS WIRE)--Adaptive Cybersecurity Laboratory Inc. (ADCL) today announced its public launch with a platform built around a single founding observation: sophisticated attacks no longer ...

Abstract: The deep learning ability to recognize patterns in data has recently become popular within education. Created in 2014, generative adversarial networks (GANs) are innovative classes of deep ...

Cybersecurity researchers discovered that simple artificial intelligence tools can defeat security techniques meant to protect authentic content from use in deepfakes, facial identity theft, or ...

The understanding and generating AI agents are differentiated by a role prompt. The understanding AI agent takes the original data, channel sensing data, and task requirements as input, and outputs ...

On February 17, 2026, the Southern District of New York, in United States v. Bradley Heppner, held that a criminal defendant's written exchanges with a “publicly available AI platform” are not ...

CrowdStrike CEO George Kurtz highlighted in his RSA Conference 2026 keynote that the fastest recorded adversary breakout time has dropped to 27 seconds. The average is now 29 minutes, down from 48 ...

President Donald Trump’s “Cyber Strategy for America,” released March 6, emphasized deploying U.S. cyber capabilities to disrupt adversaries while securing essential systems. “We will deploy the full ...

CrowdStrike’s latest annual Global Threat Report finds AI-driven attacks up 89%, zero-day exploitation surging, and nation-state actors doubling down on cloud and edge device compromise. Since the ...

As generative AI (GenAI) tools become embedded in legal and business workflows, courts are grappling with questions regarding how attorney-client privilege and the work-product doctrine apply to GenAI ...

Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.

ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

Assuming the efficiencies of AI technologies are attractive to your adversary, it is essential to consider expanding protective orders to achieve the sophistication necessary to anticipate and prevent ...