Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.
Search across headline titles and summaries.
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.
Microsoft announced today that users would also be able to communicate with Bing Chat, the AI-powered chat-based version of its Bing search engine, via voice commands. [...]
Honda's e-commerce platform for power equipment, marine, lawn & garden, was vulnerable to unauthorized access by anyone due to API flaws that allow password reset for any account. [...]
The Federal Bureau of Investigation (FBI) is warning of a rising trend of malicious actors creating deepfake nude content from social media images to perform sextortion attacks. [...]
The Federal Bureau of Investigation (FBI) is warning of a rising trend of malicious actors creating deepfake nude content from social media images to perform sextortion attacks. [...]