AWS

AWS NY Summit 2026: AI Infrastructure, Quantum & PQC Security

AWS NY Summit 2026: AI Infrastructure, Quantum & PQC Security

AWS used its 2026 New York Summit to outline a full-stack AI and security infrastructure strategy spanning Graviton5 for agentic workloads, a fault-tolerant quantum computing partnership with QuEra, and expanded post-quantum cryptography across core managed services. The announcements reflect a deliberate shift from discrete compute services toward integrated infrastructure designed to support enterprise AI at scale. For ITDMs and developers alike, the session signals that security and compute architecture decisions made today will determine readiness for both the AI-native era and the post-quantum transition.

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AWS Agent Core: Building the Agentic AI Governance Layer

AWS Agent Core: Building the Agentic AI Governance Layer

AWS advanced Agent Core at its New York Summit with a policy gateway, portable workload identity, and context graph snapshotting designed to make agentic AI governable at enterprise scale. ECI Research analyzes what the announcement means for IT decision-makers navigating agent deployment risk and for developers building on existing frameworks. The core argument: governance infrastructure is becoming the competitive differentiator in agentic AI, not model capability.

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AWS Agentic AI Platform: Bedrock Agent Core, Q, and More

AWS Agentic AI Platform: Bedrock Agent Core, Q, and More

AWS announced a sweeping set of agentic AI capabilities at its New York event, including the general availability of Bedrock Agent Core Harness, a new managed knowledge graph service called AWS Context, and a Release Agent inside AWS DevOps Agent. ECI Research examines what the announcements mean for enterprise IT buyers and developers navigating the prototype-to-production gap.

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AWS Agentic AI Platform Shifts from Generation to Delivery | ECI Research

AWS Agentic AI Platform Shifts from Generation to Delivery

AWS has unveiled a broad expansion of its AI platform, introducing continuous security remediation, autonomous background agents, and a unified data layer called AWS Context. The announcements signal a strategic shift from AI as a productivity tool to AI as a continuously operating enterprise system. ECI Research examines what the announcements mean for IT decision-makers and developers evaluating agentic AI investments.

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LocalStack App Inspector Transforms Local Cloud Debugging

LocalStack App Inspector Transforms Local Cloud Debugging

LocalStack has launched App Inspector, a capability that surfaces data flows, event paths, and resource dependencies inside a local AWS emulation container. The feature targets the growing quality assurance gap created by AI-generated code, enabling developers to catch misconfigurations before they reach production. For ITDMs, the economics of local validation over live-cloud debugging are straightforward and the compliance benefits are immediate.

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