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.
Working with frontier AI models, this new platform aims to help discovering, prioritizing, validating and remediating code vulnerabilities
A Rust crypto clipper hides behind fake GitHub stars and AI-narrated YouTube videos
Analysis of chatter on underground forums by Sophos finds that hackers fear AI could take work away from them
Nisos infiltrated a North Korean IT-worker fraud cell running on AI interviews and a US laptop farm
The rise of AI-assistants and applications in the enterprise has seen a 93% increase in employees attempting to upload sensitive data, bringing security challenges
Filigran survey at Infosecurity Europe 2026 reveals AI-powered attacks as the top concern, with false positives, alert fatigue and manual processes draining security teams
SANS Institute study finds few SOCs have built AI into defined workflows, despite widespread adoption
Athena is a new an industry coalition to fix the vulnerabilities frontier AI models find before attackers can exploit them
Access to two Anthropic large language models, Mythos 5 and Fable 5, has effectively been banned to any non-US nationals by the Trump administration
Government departments find hundreds of vulnerabilities after testing frontier models