Security teams managing AI deployments on Amazon Bedrock now have a single console to enforce policies, detect threats, and run automated remediation, following an expanded collaboration between SentinelOne and AWS announced at Black Hat in Las Vegas.
The integration brings together three SentinelOne products, Prompt Security, Singularity Cloud Security, and Singularity AI SIEM, into a unified governance layer across Amazon Bedrock and its AgentCore service. The work extends an initial integration from June 2026 that put runtime guardrails at the AgentCore gateway; today's announcement moves from guardrails into a full governance stack.
The four capabilities the layer delivers are: visibility into sanctioned and unsanctioned AI usage across the enterprise; real-time policy enforcement across AWS and multi-cloud environments; threat detection with root cause analysis for AI-related security risks; and automated remediation of misconfigurations and non-compliant AI code.
"Every security team wants real-time visibility into what its AI agents are doing," said Melissa K. Smith, SVP of Global Strategic Partnerships and Initiatives at SentinelOne. "This integration delivers that visibility inside the workflows customers already run on AWS. It closes the gap between how fast enterprises deploy AI and how fast they can govern it. Security teams get answers immediately, not assembled after the fact."
The driving problem is the speed differential between AI adoption and security response. As organisations add AI agents into production, the surface area of identities, permissions, and data access grows faster than manual oversight can cover.
SentinelOne's Prompt Security, Singularity Hyperautomation, and Singularity AI SIEM are already available on AWS Marketplace. The full unified AI governance layer is targeted for general availability at AWS re:Invent 2026.
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