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.
Have I Been Pwned has added almost 71 million email addresses associated with stolen accounts in the Naz.API dataset to its data breach notification service. [...]
A new vulnerability dubbed 'LeftoverLocals' affecting graphics processing units from AMD, Apple, Qualcomm, and Imagination Technologies allows retrieving data from the local memory space. [...]
AI presents significant advantages for organizations, but it's also being exploited to amplify and intensify cyberattacks. Learn more from Outpost24 about how hackers are harnessing the power of AI. [...]
Microsoft says that tests of a controversial new Windows 11 feature that automatically opens the AI-powered Copilot assistant after Windows starts are limited to systems with 27-inch displays. [...]