Realtime AI News
Radware Introduces Agent Trust Management for the AI Agent Economy
Radware has introduced Agent Trust Management, an offering aimed at helping businesses securely adopt the AI agent economy, as reported by vmblog.com. The launch frames trust — not just traffic protection — as the missing layer as autonomous agents move into production workflows.
Radware has introduced Agent Trust Management, a new offering aimed at helping businesses securely embrace what the company calls the AI agent economy. The announcement was reported by vmblog.com.
The product name points to the core tension of enterprise automation: once AI agents begin executing tasks and touching systems and data, organizations need a way to establish whether an agent is trustworthy and where its boundaries lie.
The launch lands in a window where agent adoption — from coding assistants to back-office process automation — is outpacing the governance and security tooling built around it.
For Radware, a cybersecurity vendor, framing the problem as trust management rather than plain traffic protection signals that agent risk is seen as coming from permissions, behavior and identity rather than only traditional attack surfaces.
For buyers, the promise is to fold agents into existing security operations instead of letting them become automation black boxes that sit outside monitoring.
As more vendors enter the category, the contest over standards for agent identity, authorization and audit is only beginning, and it is worth watching who proves the model in real enterprise deployments.
Why it matters
Agent security is moving from concept to procurement checklist. Radware's entry signals that enterprise agent governance is becoming a new battleground for cybersecurity vendors.
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