AI in Cybersecurity

In an era where artificial intelligence continues to shape the contours of technology and industry, the US Patent and Trademark Office (USPTO) has taken a definitive stance on the use of generative AI for most purposes. Citing security concerns and the potential for bias, unpredictability, and

Google's recent introduction of Gemini x114 stands as a groundbreaking milestone in the realm of artificial intelligence, outshining even the much-celebrated GPT-4. The model's capabilities are nothing short of extraordinary, having achieved record-breaking scores in AI performance tests.

Artificial intelligence (AI), particularly large language models (LLMs) like GPT-4, has made significant strides in mimicking human language and interactions across various fields. Yet, a critical question persists: how effectively can AI emulate and articulate cultural traits and nuances? This

The ongoing evolution in the digital landscape has repositioned identity security from a basic IT utility to a central pillar in contemporary cyber defenses. This paradigm shift was the focal point of the recent Hybrid Identity Protection (HIP) conference held in New Orleans, where industry

Artificial intelligence (AI) has revolutionized various industries by enabling unparalleled advancements; however, its penetration into the digital world has also ushered in sophisticated cyber threats. According to a Gartner survey conducted among 286 senior enterprise risk executives, AI-enhanced

In an era where cyber threats are becoming increasingly sophisticated, the integration of artificial intelligence (AI) and machine learning (ML) into cybersecurity frameworks is proving to be a game-changer. AI-driven solutions are transforming threat detection, compliance, and overall security,