Latest coverage for Artificial Intelligence
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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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.
US Government Denies Blocking Sales of AI Chips to Middle East
Nvidia and AMD do face expanded export rules for their A100 and H100 artificial intelligence (AI) chips in the Middle East, but it's not yet clear why.
Will the AI Arms Race Lead to the Pollution of the Internet?
Content creators want to protect their intellectual property from AI by poisoning data. Could this destroy the machine learning ecosystem?
Sourcegraph website breached using leaked admin access token
AI-powered coding platform Sourcegraph revealed that its website was breached this week using a site-admin access token accidentally leaked online on July 14th. [...]
How to Prevent ChatGPT From Stealing Your Content & Traffic
ChatGPT and similar large language models (LLMs) have added further complexity to the ever-growing online threat landscape. Cybercriminals no longer need advanced coding skills to execute fraud and other damaging attacks against online businesses and customers, thanks to bots-as-a-service, residential proxies, CAPTCHA farms, and other easily accessible tools. Now, the latest technology damaging
OpenAI Promises Enterprise-Grade Security with ChatGPT for Business
OpenAI has launched ChatGPT Enterprise highlighting high-profile customers including Klarna, PwC and The Estee Lauder Companies
NCSC Issues Cyber Warning Over AI Chatbots
The UK cyber agency highlights the lack of understanding of LLMs among industry and academia
6 Ways AI Can Revolutionize Digital Forensics
Artificial intelligence tools can automate the analysis of logs, video, and other important but tedious aspects of investigations.
Cyberattacks Targeting E-commerce Applications
Cyber attacks on e-commerce applications are a common trend in 2023 as e-commerce businesses become more omnichannel, they build and deploy increasingly more API interfaces, with threat actors constantly exploring more ways to exploit vulnerabilities. This is why regular testing and ongoing monitoring are necessary to fully protect web applications, identifying weaknesses so they can be
Taiwanese infosec researchers challenge Microsoft's China espionage finding
PLUS: India calls for global action on AI and crypto; Vietnam seeks cybersecurity independence; China bans AI prescribing drugs Asia In Brief Taiwan-based infosec consultancy Team T5 has disputed Microsoft's alleged timeline of just when a Beijing-linked attack group named Flax Typhoon commenced its campaigns.…