aiqbench analysis
Descope's Agentic Identity Hub 3.0 addresses the "shadow AI" risk by enforcing identity and policy controls over employee-deployed agents, including those running on third-party models via Model Context Protocol gateways. This release shifts focus from securing only internal-developed tools to managing the broader ecosystem of unmanaged AI agents that access corporate data without proper oversight. The solution aims to prevent credential sprawl and unauthorized data exposure by requiring explicit approval and owner assignment for every agent before deployment.
Descope’s Agentic Identity Hub 3.0 takes aim at shadow AI agents inside companies
Customer and agentic identity platform company Descope Inc. today unveiled Agentic Identity Hub 3.0, the latest version of its platform for securing artificial intelligence agents. This time the focus is on the agents employees build or adopt inside their own organizations. The release goes after what Descope describes as a shadow AI problem. Staff are adopting […] The post Descope’s Agentic Identity Hub 3.0 takes aim at shadow AI agents inside companies appeared first on SiliconANGLE.
Descope’s Agentic Identity Hub 3.0 takes aim at shadow AI agents inside companies Customer and agentic identity platform company Descope Inc. today unveiled Agentic Identity Hub 3.0, the latest version of its platform for securing artificial intelligence agents. This time the focus is on the agents employees build or adopt inside their own organizations. The release goes after what Descope describes as a shadow AI problem. Staff are adopting and building agents…
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