Multi-agent orchestration with human-in-the-loop oversight compresses full-scope pentest engagements from weeks to under 48 hours Strobes, a leader in Exposure Management, today announced the launch of its proprietary AI Harness, a multi-agent orchestration engine that powers end-to-end AI Penetration Testing across cloud, web, API, and enterprise environments. The platform delivers...
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The era of “all-you-can-eat” AI coding and agent subscriptions may well be ending. Beginning June 15, Anthropic will separate programmatic Claude usage from standard chat subscription limits, introducing a dedicated monthly credit system, billed at API-style rates, for tools including its Agent SDK, GitHub Actions, and third-party frameworks such as OpenClaw, the company wrote in a blog post.
The monthly credit for programmatic usage will depend on a user’s existing Claude subscription tier and generally mirror its monthly price, with Pro users receiving $20 in credits, Max 5x users $100, and Max 20x users $200.
In April, Anthropic had announced via a post on X that Claude subscriptions would “no longer cover usage on third-party tools like OpenClaw”, citing compute capacity restraints, and effectively forcing developers using external agent frameworks either to purchase additional usage bundles or switch to direct API access.
Before that change, programmatic workloads and interactive
Dive masks on — Subnautica 2 is making a splash on GeForce NOW day-and-date with launch, so members can plunge into the title’s brand-new alien ocean from almost any device. It leads 11 new games joining the cloud this week. A limited-time HITMAN World of Assassination reward event brings signature tools of the trade — […]
Enterprise environments are changing quickly as organizations adopt cloud platforms, automated infrastructure, and continuous delivery pipelines. Software updates are released more often, and systems are set up automatically using infrastructure-as-code automation tools. While this acceleration allows organizations to deliver software and services faster, it also creates new challenges for security teams responsible for protecting constantly changing systems.
Today’s enterprise security teams must defend environments that are dynamic, distributed, and difficult to fully observe. As organizations adopt new platforms and development practices, the attack surface grows. Security teams must detect and respond to threats across these environments while maintaining clear visibility into what is happening in real time.
Traditional security testing models were not designed for this pace of change. Organizations have long relied on penetration tests and red team engagements to simulate real att
The post OpenAI and Microsoft cap revenue-sharing at $38B as AI giant eyes independence appeared on BitcoinEthereumNews.com.
OpenAI and Microsoft have agreed to put a ceiling on their revenue-sharing arrangement at $38 billion, a move that effectively loosens one of the tightest corporate partnerships in the AI industry. The cap, first reported by The Information, keeps the existing revenue-sharing terms in place through 2030 but draws a hard line on how much Microsoft can ultimately extract from the relationship. What the deal actually changes Microsoft has poured more than $13 billion into OpenAI since its initial $1 billion investment in 2019. In return, it secured a revenue-sharing arrangement that gave Redmond a significant cut of OpenAI’s earnings, plus exclusive cloud infrastructure rights through Azure. The $38 billion cap means Microsoft’s take has an expiration point. Once cumulative revenue-sharing payments hit that number, the spigot turns off, regardless of how much money
OpenAI's move towards independence could reshape cloud dynamics, fostering competition and potentially altering AI market power structures.
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