As AI agents take on real work, new rules for autonomy are emerging that favor reliability, clarity and human control.

A more advanced solution involves adding guardrails by actively monitoring logs in real time and aborting an agent’s ongoing ...

We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various ...

The integration connects Confluent's Streaming Agents with Workato Enterprise MCP (Model Context Protocol). This enables organizations to automatically detect patterns in massive event streams and ...

Airis Agent is the intelligence layer of the Airis Suite, providing autonomous workflow orchestration with confidence gating, deep research, repository indexing, and self-review capabilities for ...

ThoughtSpot's agent suite aims to provide a coherent analytics foundation as enterprises grapple with AI experimentation - but the semantic layer argument matters more than the agent count There is no ...

Abstract: In recent years, black-box distributed optimization (DBO) has been widely studied to solve complex optimization problems in multi-agent systems, such as hyperparameter optimization of ...

AEGIS is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It provides systematically generated failure scenarios with verifiable ground-truth labels across ...

Abstract: The objects reentering the Earth’s atmosphere with hypersonic speed will encounter unique challenges due to the plasma sheath, which significantly alters radar signal propagation ...

With overall global identity fraud rate stabilizing, high-quality attacks increased by 180% over 2024-2025 A newer risk is the emergence of AI fraud agents, autonomous, self-learning systems capable ...