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.
A secret Bing Chat 'Celebrity' mode allows users to instruct the AI to impersonate celebrities, answering questions and talking like the person it imitates. [...]
Brave Search has incorporated a new AI-powered tool named Summarizer, which gives a summarized answer to an inputted question before the rest of the search results. [...]
Microsoft announced today that it's integrating the new AI-powered Bing Chat into the Windows 11 search box with the latest Windows feature update. [...]
ChatGPT is down, according to OpenAI and users reports. Users are currently experiencing issues worldwide, with many unable to access the AI. [...]