Amazon AWS recapbed September 2026 updates across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands for AI builders. AgentCore’s runtime added lower cold-start latency and improved memory management for serverless agents, with pay-as-you-go pricing that charges for actual usage rather than peak memory. These changes expand model availability, speed up and measure agent operations, and add new ways to sync and connect enterprise knowledge sources so agents can use fresher business data with fewer custom ingestion steps.
Postman built Agent Mode to let its AI agent operate across API testing, documentation, discovery, and implementation within the Postman product, and it documented the architecture lessons from integrating it into a mature interface-driven platform. In its testing, tool-selection errors rose once the visible toolset exceeded about 40 tools, while the system narrowed 170+ candidate tools down to roughly 15 relevant ones. The result is a production-style agent design that scopes tools per task, uses schema-based read access, and treats context as the main bottleneck while running model inference on Amazon Bedrock with controls like zero data retention settings and prompt caching.
SailPoint’s Navigate event described a shift in enterprise identity security as AI agents proliferate and teams move from discovering agents to remediating access in real time. A cited AWS metric said Bedrock AgentCore task activity grew 15 times in the first six months of the year, alongside new agents being created every 4.5 seconds. The focus moves to machine-speed governance such as just-in-time authorization, identity binding to named human owners, and enforcement outside the agents themselves, plus faster proof-of-concept validation and continuous runtime monitoring.
AWS, Upstage, and Ollama agreed on a shared decision-model API called System One, while OpenAI did not sign on. AWS released Strands Decider 2B on October 1. As a result, the System One request/response schema is becoming the fastest-to-clone contract, making decision-model integration more portable across hosted and self-hosted servers by changing the base URL, even though some vendors still use different endpoint paths and pricing.
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