Patronus AI lands $50M to build ‘digital worlds’ that stress-test AI agents
Agent testing startup Patronus AI, founded by former Meta AI researchers, is experienced nearly insatiable demand, its investor says.
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Insider Brief PRESS RELEASE — NeuralTrust, the platform to secure AI agents, announced a $20 million seed round, the largest cybersecurity seed financing raised by an EU company to date. The round will fund engineering, deepening the integration across NeuralTrust’s products, and expansion across the European market, as enterprises move autonomous AI systems into production. The round […]
Read full articleAgent testing startup Patronus AI, founded by former Meta AI researchers, is experienced nearly insatiable demand, its investor says.
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As enterprises deploy increasing numbers of AI agents across applications and organizations, the Linux Foundation on Wednesday announced plans to launch a new Agent Name Service framework designed to establish identity, ownership, and trust for these systems. The ANS framework, which is expected to allow systems and users to verify who an agent represents, what permissions it has, and whether its code and operational history remain authentic and unchanged, will be based on the existing Domain Name System (DNS), the Foundation said in a statement. Just like DNS translates human-readable website names into internet addresses, ANS aims to create a standardized naming and discovery layer for AI agents, with the ability for enterprises to publish agent identities through domains they already control, enabling other agents and systems to verify who an agent represents and discover information about its capabilities and ownership before interacting with it, it added. This, the Foundation furt
As enterprises deploy increasing numbers of AI agents across applications and organizations, the Linux Foundation on Wednesday announced plans to launch a new Agent Name Service framework designed to establish identity, ownership, and trust for these systems. The ANS framework, which is expected to allow systems and users to verify who an agent represents, what permissions it has, and whether its code and operational history remain authentic and unchanged, will be based on the existing Domain Name System (DNS), the Foundation said in a statement. Just like DNS translates human-readable website names into internet addresses, ANS aims to create a standardized naming and discovery layer for AI agents, with the ability for enterprises to publish agent identities through domains they already control, enabling other agents and systems to verify who an agent represents and discover information about its capabilities and ownership before interacting with it, it added. This, the Foundation furt