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.
Many departments and groups see the benefits of using generative AI tools, which will complicate the security teams' job of protecting the enterprise from data leaks and compliance and privacy violations.
Security professionals in Dark Reading's latest survey are well aware of the risks posed by generative AI in their organization, but questions remain on what strategies to employ.
Cisco says Isovalent will help expand the capabilities of Security Cloud, an AI-driven, cloud-delivered, integrated security platform.
The help desk is under siege from AI-based and other attacks. Next-gen tactics call for in-depth cyber-defense strategies.
OpenAI has mitigated a data exfiltration bug in ChatGPT that could potentially leak conversation details to an external URL. [...]
Cybercriminals are increasingly using AI tools to launch successful attacks, but defenders are battling back.
AI has tremendous potential to improve efficiency and outcomes in the public and private sectors. A holistic approach to AI and security is critical to achieving the potential of AI while minimizing the risks.
Alleged crims used AI to pose as friends, family, romantic partners – and sold dodgy NFTs A transnational police operation has resulted in the arrest of 3,500 alleged cybercriminals and the seizure of $300 million in cash and digital assets.…
Large language models (LLMs) like Bard and ChatGPT can help produce simpler, more readable security documentation in a fraction of the time it takes to do it manually.
Hype won't solve operational security problems. Here are 10 important points to consider when evaluating API security solutions.
PLUS: Beijing wants ten-minute reporting of infosec incidents; Infosys CFO bails; TikTok's Indonesia comeback approved, for now Think tank Australian Strategic Policy Institute (ASPI) last week published details of a campaign that spreads English language pro-China and anti-US narratives on YouTube.…