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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Background for this topic.
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.
Artificial intelligence (AI) company Anthropic revealed that its latest large language model (LLM), Claude Opus 4.6, has found more than 500 previously unknown high-severity security flaws in open-source libraries, including Ghostscript, OpenSC, and CGIF
This week didn’t produce one big headline. It produced many small signals — the kind that quietly shape what attacks will look like next
Today’s “AI everywhere” reality is woven into everyday workflows across the enterprise, embedded in SaaS platforms, browsers, copilots, extensions, and a rapidly expanding universe of shadow tools that appear faster than security teams can track. Yet most organizations still rely on legacy controls that operate far away from where AI interactions actually occur. The result is a widening
Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) systems
Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line Interface (CLI), that could be exploited to execute code and exfiltrate sensitive data
Mozilla on Monday announced a new controls section in its Firefox desktop browser settings that allows users to completely turn off generative artificial intelligence (GenAI) features
A security audit of 2,857 skills on ClawHub has found 341 malicious skills across multiple campaigns, according to new findings from Koi Security, exposing users to new supply chain risks
Every week brings new discoveries, attacks, and defenses that shape the state of cybersecurity. Some threats are stopped quickly, while others go unseen until they cause real damage