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.
Prosecutors say front companies, falsified paperwork, and overseas drop points used to dodge US export rules Four people have been charged in the US with plotting to funnel restricted Nvidia AI chips into China, allegedly relying on shell firms, fake invoices, and covert routing to slip cutting-edge GPUs past American export controls.…
A multi-layered security framework protecting large-model applications from adversarial threats, data leakage, API abuse, and content risks Partner Content At MWC Shanghai 2025, ZTE has officially launched its ZXCSec MAF product, a dedicated application-layer security protection device specifically designed for large model services.…
Researchers tried to get ChatGPT to do evil, but it didn't do a good job LLMs are getting better at writing malware - but they're still not ready for prime time.…
Using AI to attack AI Malefactors are actively attacking internet-facing Ray clusters and abusing the open source AI framework to spread a self-replicating botnet that mines for cryptocurrency, steals data, and launches distributed denial of service (DDoS) attacks.…