Research examines attack methods, defenses, and vulnerabilities, helping security teams understand risks and improve protection.
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Background for this topic.
Research is the systematic study of technologies, systems, attack methods, vulnerabilities, and defensive techniques to establish evidence and produce new findings. In information security, it includes work such as discovering flaws in software or protocols, analyzing malware and attacker behavior, testing cryptographic designs, and evaluating security controls. News under this tag may describe a proof of concept, a measurement study, or a proposed technique rather than a confirmed real-world attack.
For practitioners, research can change how risks are prioritized and mitigated. A demonstrated vulnerability may require vulnerability-management teams to verify affected assets, apply fixes, or add compensating controls; responsible disclosure gives developers time to assess and remediate before technical details enable exploitation. Research involving live systems, personal data, or offensive tooling also raises privacy, authorization, dual-use, and ethical concerns. Sound findings should state their assumptions, scope, limitations, and reproducibility, since laboratory results do not automatically show that an attack is practical in every environment.
Open Power AI Consortium Members Include Nvidia and MicrosoftTech giants and utility providers on Thursday formed an alliance to harness artificial intelligence for a more resilient power grid. More than two dozen organizations are participating in the Open Power AI Consortium led by the Electric Power Research Institute.
Over 10K Exploit Attempts Recorded in a Week From a Single Malicious IPHackers are exploiting a vulnerability in ChatGPT's infrastructure to redirect users to malicious websites, with security researchers recording more than 10,000 exploit attempts in a week from a single malicious IP address. The financial sector has borne the brunt of the attacks.
Researchers Examined 7 LLMs to Determine How they Dealt with Flawed CodeLarge language models trained on flawed data tend to replicate those mistakes, researchers found. "In bug-prone tasks, the likelihood of LLMs generating correct code is nearly the same as generating buggy code," found researchers from institutions including the Chinese Academy of Sciences.
Researchers Detail AI's Fabricated Facts in Healthcare, Discuss SolutionsHallucinations in artificial intelligence foundation models are pushing healthcare professionals and technologists to rethink how practitioners can safely use AI. Hallucinated lab result or an erroneous diagnostic recommendation could lead to harmful interventions or missed treatments.
Malicious Code Injected in reviewdog Just Hours Before tj-actions BackdooredJust days after researchers discovered an attack that subverted a widely used tool for software development platform GitHub, they discovered a second, prior attack, as part of what one expert said may be "a chain of supply chain attacks eventually leading to a specific high-value target."