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.
Microsoft has disclosed details of a novel side-channel attack targeting remote language models that could enable a passive adversary with capabilities to observe network traffic to glean details about model conversation topics despite encryption protections under certain circumstances
Cybersecurity researchers have flagged a malicious Visual Studio Code (VS Code) extension with basic ransomware capabilities that appears to be created with the help of artificial intelligence – in other words, vibe-coded
Cybercrime has stopped being a problem of just the internet — it’s becoming a problem of the real world. Online scams now fund organized crime, hackers rent violence like a service, and even trusted apps or social platforms are turning into attack vectors
SonicWall has formally implicated state-sponsored threat actors as behind the September security breach that led to the unauthorized exposure of firewall configuration backup files
Google on Wednesday said it discovered an unknown threat actor using an experimental Visual Basic Script (VB Script) malware dubbed PROMPTFLUX that interacts with its Gemini artificial intelligence (AI) model API to write its own source code for improved obfuscation and evasion
Cybersecurity researchers have disclosed a new set of vulnerabilities impacting OpenAI's ChatGPT artificial intelligence (AI) chatbot that could be exploited by an attacker to steal personal information from users' memories and chat histories without their knowledge
Google's artificial intelligence (AI)-powered cybersecurity agent called Big Sleep has been credited by Apple for discovering as many as five different security flaws in the WebKit component used in its Safari web browser that, if successfully exploited, could result in a browser crash or memory corruption
Microsoft has disclosed details of a novel backdoor dubbed SesameOp that uses OpenAI Assistants Application Programming Interface (API) for command-and-control (C2) communications