Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore | Amazon Web Services
Agents are becoming more autonomous and teams are running more of them, but trust and security have not kept pace. According to McKinsey, roughly 80% of organizations have already encountered risky behavior from AI agents. As a result, security and risk concerns are the leading barrier to scaling agentic AI (McKinsey’s State of AI Trust in 2026, and Trust in the age of AI agents 2026).
That makes trust the pacing factor for agent innovation and adoption. Earning it takes control across a wide surface, including identity, access, observability, evaluation, and traceability. We believe that investment in trust and security will accelerate agent adoption in enterprises. When guardrails are dependable, approving a new agent stops being a one-off negotiation and becomes something the platform handles at scale.
The challenge is that most guardrails today were designed for software that behaves predictably. Agents decide their own path as they go, so...
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