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 confirmed that Windows Recall is rolling out to everyone with Windows 11 KB5055627 on Copilot+ PCs. [...]
Microsoft announced an increase in bug bounty payouts to $30,000 for AI vulnerabilities found in Dynamics 365 and Power Platform services and products. [...]
ASUS has released security updates to address CVE-2024-54085, a maximum severity flaw that could allow attackers to hijack and potentially brick servers. [...]