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.
Artificial intelligence (AI) company OpenAI on Wednesday announced the launch of ChatGPT Health, a dedicated space that allows users to have conversations with the chatbot about their health
Non-human employees are becoming the future of cybersecurity, and enterprises need to prepare accordingly. As organizations scale Artificial Intelligence (AI) and cloud automation, there is exponential growth in Non-Human Identities (NHIs), including bots, AI agents, service accounts and automation scripts. In fact, 51% of respondents in ConductorOne’s 2025 Future of Identity Security Report
Cybersecurity researchers have discovered two new malicious extensions on the Chrome Web Store that are designed to exfiltrate OpenAI ChatGPT and DeepSeek conversations alongside browsing data to servers under the attackers' control
Popular artificial intelligence (AI)-powered Microsoft Visual Studio Code (VS Code) forks such as Cursor, Windsurf, Google Antigravity, and Trae have been found to recommend extensions that are non-existent in the Open VSX registry, potentially opening the door to supply chain risks when bad actors publish malicious packages under those names
The year opened without a reset. The same pressure carried over, and in some places it tightened. Systems people assume are boring or stable are showing up in the wrong places. Attacks moved quietly, reused familiar paths, and kept working longer than anyone wants to admit