Opportunities for agentic AI. AI agents go beyond basic in-context learning by enabling LLMs to iteratively plan, reason, and ...

Frontier AI models corrupt 25% of document content in multi-step workflows — rewriting rather than deleting, which makes the ...

Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

New research from a trio of Microsoft researchers reveals that LLMs ‘introduce substantial errors when editing work documents ...

The exploit code was almost too neat. When Google’s Threat Intelligence Group flagged a previously unknown software ...

Though large language models remain popular, IT decision-makers are increasingly trying out smaller, open models that may be a better fit for enterprise AI needs.

Companies exploring automated workflows would be well advised to keep their AI agents on a short leash. Microsoft researchers ...

Google's threat team caught the first live AI-built zero-day exploit, escalating the attacker-defender AI arms race.

Cyber adversaries have long used AI, but now attackers are using large language models to develop exploits and orchestrate ...

In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to ...

Google said it disrupted a planned mass exploitation campaign involving a Python zero-day exploit likely developed with AI.

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while boosting reasoning accuracy.