When Nandakishore Leburu was building LLM applications at LinkedIn, he learned that the models weren't the problem. The ...

Shadow AI 2.0 isn’t a hypothetical future, it’s a predictable consequence of fast hardware, easy distribution, and developer ...

Four vulnerabilities in CrewAI could be chained together via prompt injection for sandbox escape, remote code execution, and ...

Opus 4.7 utilizes an updated tokenizer that improves text processing efficiency, though it can increase the token count of ...

You gotta build a "digital twin" of the mess you're actually going to deploy into, especially with stuff like mcp (model context protocol) where ai agents are talking to data sources in real-time.

Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...

Vulnerability attacks rose 56% in 2025. Explore 46 statistics on CVE disclosure, exploitation patterns, and industry impact to guide your 2026 security strategy. The post 46 Vulnerability Statistics ...

A growing body of academic research warns that AI-assisted “vibe coding,” where language models assemble software from open-source components with minimal human oversight, is creating hidden costs for ...

Every few months, a new AI model lands at the top of a leaderboard. Graphs shoot upward. Press releases circulate. And t ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

The path traversal flaw, allowing access to arbitrary files, adds to a growing set of input validation issues in AI pipelines.