CISOs are vocal about the risks. Seventy-three percent say they are very or critically concerned about AI agent behavior. Yet ...

Tech companies are aggressively marketing AI agents as autonomous digital workers that can plan tasks, execute goals and ...

In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

With the right mix of orchestration and runtime enforcement, organizations can add these controls without rebuilding their ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.

2025 was supposed to be the year of the AI agent. Companies invested heavily in autonomous systems that could handle tasks ...

We shouldn’t ask how much knowledge an agent can retain, but rather if it has had the opportunity to develop expertise by ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

Autonomous agents and multiagent systems represent a cornerstone of modern computational intelligence, combining individual self-directed decision‐making with coordinated, distributed actions.