Microsoft's new vulnerability-scanning system, codenamed MDASH, scored 88.45% on the CyberGym benchmark, surpassing ...

As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...

Keycard for Multi-Agent Apps Lets Developers Build Secure Autonomous Applications Where Access is Delegated Between Agents, on a Per-Task Basis, Without Standing Privileges ...

Instead of lone-wolf bots carrying out single tasks, such as using a browser to make a restaurant reservation or sending you a summary of your inbox, new tools can yoke together multiple agents, give ...

Work Optional , an AI automation and custom software development firm (formerly known as Radiant AI), today announced its ...

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical ...

Multi-agent orchestration makes workflow more inspectable, with clear handoffs and a QA backstop. Breaking the work into discrete steps makes the output easier to audit and fix. A timestamped handoff ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

The naming choice for Anthropic's latest update is yet another instance of the company humanizing its products.