AI Security
Follow AI security risks, prompt injection, data privacy, model abuse, malware, enterprise controls, red teaming, and safe AI deployment.
DuckDuckGo adds no‑AI extensions as traffic surges
DuckDuckGo released Chrome and Firefox extensions that keep its search engine free of AI features, responding to a sharp rise in user traffic.
Secure AI workflows
AI security coverage focuses on prompt injection, data leakage, tool permissions, model abuse, browser agents, and unsafe automation patterns.
Track attacks and defenses
The field changes quickly as attackers use AI and defenders build new controls, evaluations, and monitoring systems.
Make deployment safer
Practical guidance emphasizes least privilege, logging, human review, data boundaries, evaluation, and incident response.
Latest AI Security
Conversational Queries Unlock Time‑Series Market Insight with Amazon Quick
Amazon Quick now talks to KDB‑X MCP servers, letting analysts ask plain‑language questions of massive time‑series data. The move reshapes how traders and engineers extract market signals.
Sutton warns pure generative AI lacks scientific self‑evaluation
Turing Award laureate Richard Sutton says generative AI cannot assess its own results, limiting real scientific discovery. He points to evaluation loops as the missing piece.
Deploy Local AI Agents on RTX PCs & DGX Spark
A step‑by‑step guide to running open‑source AI agents like OpenClaw and Hermes locally on RTX‑powered PCs and NVIDIA DGX Spark systems.
Synthetic Deception Shows LLMs Can Learn to Be Consistently Wrong
A new arXiv study reveals how large language models can be trained to output false answers while keeping correct internal representations, raising urgent policy questions.
How English Teachers Can Tackle AI in the Classroom Today
A step‑by‑step guide for English teachers to understand, manage, and integrate AI tools after the recent Education Week shakeup.
NVIDIA AI Cloud Grows Globally to Power Expanding AI Compute
NVIDIA’s AI Cloud ecosystem is scaling worldwide, adding capacity to meet surging token demand from enterprises and AI labs. The rollout promises faster, cheaper access to compute for agentic AI workloads.
Zero‑Shot Topic Tagging Gets a Knowledge‑Graph Boost
A new arXiv study shows that adding knowledge‑graph data improves zero‑shot multi‑label classification, hinting at broader uses for unlabeled corpora.
NVIDIA unveils Cosmos 3, an open physical AI model
NVIDIA released Cosmos 3 on June 1, 2026, a foundation model that blends vision, world generation and action prediction, aiming to lower infrastructure costs for physical AI projects.
Guides & Playbooks
Analysis & Comparisons
AI Security FAQ
What is AI security?
AI security covers the risks and defenses involved in using AI systems, including prompt injection, data leakage, model abuse, unsafe tools, and malicious content generation.
What is prompt injection?
Prompt injection is an attack where hidden or malicious instructions try to override an AI system’s intended behavior.
How can companies reduce AI security risk?
Companies can reduce risk with scoped permissions, data controls, logging, red teaming, human review, and clear policies for AI tool use.