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.
U.S. and Israeli cybersecurity agencies have published a new advisory attributing an Iranian cyber group to targeting the 2024 Summer Olympics and compromising a French commercial dynamic display provider to show messages denouncing Israel's participation in the sporting event
With so many SaaS applications, a range of configuration options, API capabilities, endless integrations, and app-to-app connections, the SaaS risk possibilities are endless. Critical organizational assets and data are at risk from malicious actors, data breaches, and insider threats, which pose many challenges for security teams
Microsoft is further delaying the release of its controversial Recall feature for Windows Copilot+ PCs, stating it's taking the time to improve the experience
A little over three dozen security vulnerabilities have been disclosed in various open-source artificial intelligence (AI) and machine learning (ML) models, some of which could lead to remote code execution and information theft
Cybersecurity news can sometimes feel like a never-ending horror movie, can't it? Just when you think the villains are locked up, a new threat emerges from the shadows