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.
The malware downloader known as BATLOADER has been observed abusing Google Ads to deliver secondary payloads like Vidar Stealer and Ursnif
Between March 3 and March 9, at least 2,000 people a day downloaded the malicious "Quick access to ChatGPT" Chrome extension from the Google Play app store.
Researchers warn that polymorphic malware created with ChatGPT and other LLMs will force a reinvention of security automation.
Privacy-focused search engine DuckDuckGo has launched the first beta version of DuckAssist, an AI-assisted feature that writes accurate summaries to answer users' search queries. [...]
More than 4% of employees have put sensitive corporate data into the large language model, raising concerns that its popularity may result in massive leaks of proprietary information.
Twitter users are experiencing issues worldwide when trying to log in or log out and when attempting to share their tweets, click links, embed tweets, and see images. [...]
Deep fakes are expected to become a more prominent attack vector. Here's how to identify them