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Latest coverage for Artificial Intelligence

Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.

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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence (AI) model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber attack life cycle, enabling information operations, and even conducting model extraction attacks

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight

The North Korea-linked threat actor known as UNC1069 has been observed targeting the cryptocurrency sector to steal sensitive data from Windows and macOS systems with the ultimate goal of facilitating financial theft

January 5, 2026, Seattle, USA — ZAST.AI announced the completion of a $6 million Pre-A funding round. This investment came from the well-known investment firm Hillhouse Capital, bringing ZAST.AI's total funding close to $10 million. This marks a recognition from leading capital markets of a new solution: ending the era of high false positive rates in security tools and making every alert

Cyber threats are no longer coming from just malware or exploits. They’re showing up inside the tools, platforms, and ecosystems organizations use every day. As companies connect AI, cloud apps, developer tools, and communication systems, attackers are following those same paths