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Building Multi-Account AI Agents with AgentCore Gateway and MCP
AWS explains how to build multi-account AI agents using Amazon Bedrock AgentCore Gateway and MCP: the platform account runs agents through AgentCore Runtime and performs LLM inference via Amazon Bedrock, while each line-of-business account packages its data and tools as MCP servers, with the Gateway serving as a single MCP endpoint for unified tool discovery and invocation. The solution also combines AgentCore Identity with Okta for OAuth 2.0 M2M authentication, and uses Policy in AgentCore (Cedar) to achieve fine-grained authorization.
AWS explains how to build multi-account AI agents using Amazon Bedrock AgentCore Gateway and MCP: the platform account runs agents through AgentCore Runtime and performs LLM inference via Amazon Bedrock, while each line-of-business account packages its data and tools as MCP servers, with the Gateway serving as a single MCP endpoint for unified tool discovery and invocation. The solution also combines AgentCore Identity with Okta for OAuth 2.0 M2M authentication, and uses Policy in AgentCore (Ced
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How to secure the actual behavior of Bedrock AgentCore agents
Cato AI Labs points out that Amazon Bedrock AgentCore's native access controls cannot prevent prompt injection; content exchanged between agents and models must be inspected at four stages: prompts, tool calls, tool responses, and outputs. AgentCore Policy uses Cedar rules to intercept tool calls that go through the Gateway, but tools that developers write directly into code do not pass through the Gateway and are therefore not inspected. Cato's Amazon Bedrock integration discovers all agents on AgentCore in a read-only manner and covers agents on AWS, Microsoft Foundry, Amazon Quick, and developer-built endpoints.
changed between agents and models must be inspected at four stages: prompts, tool calls, tool responses, and outputs. AgentCore Policy uses Cedar rules to intercept tool calls that go through the Gateway, but tools that developers write directly into code do not pass through the Gateway and are therefore not inspected. Cato's Amazon Bedrock integration discovers all agents on AgentCore in a read-only manner and covers agents on AWS, Microsoft Foundry, Amazon Quick, and developer-built endpoints.
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The Middle East War and Rising Interest Rates Threaten AI Infrastructure Financing
The Middle East war and rising interest rates are threatening the capital inflows that support AI infrastructure. AWS has acknowledged that drone attacks on its Bahrain and UAE facilities caused permanent data loss for some customers, and most remain offline. Saudi Arabia this month pledged $15 billion in domestic AI investment, Qatar has pulled back, while the UAE and Saudi Arabia are still pressing ahead; Jack Selby warned that Middle Eastern capital accounts for 25% of global AI investment. Meta's Muse is catching up to Instinct, which is reportedly seeking a $10 billion valuation.
The Middle East war and rising interest rates are threatening the capital inflows that support AI infrastructure. AWS has acknowledged that drone attacks on its Bahrain and UAE facilities caused permanent data loss for some customers, and most remain offline. Saudi Arabia this month pledged $15 billion in domestic AI investment, Qatar has pulled back, while the UAE and Saudi Arabia are still pressing ahead; Jack Selby warned that Middle Eastern capital accounts for 25% of global AI investment. M
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Zombie workloads drag down data center efficiency, and in the GPU era AI is spurring new cleanup methods
IDCA research shows that as much as 13% of US cloud usage comes from abandoned yet still-running zombie workloads, while FinOps vendors such as Broadcom and AWS estimate that overall cloud waste often reaches 25% to 30% or even higher. GPUs are more expensive than CPU cores, and idle GPUs turn inefficiencies that were once just a rounding error on the bill into real costs. Graziano Casto of Akamas says that in the LLM era, the cost of ignoring inefficiency has risen by an order of magnitude almost overnight. Kubernetes is evolving to support AI workloads, but the related work is still in its early stages.
IDCA research shows that as much as 13% of US cloud usage comes from abandoned yet still-running zombie workloads, while FinOps vendors such as Broadcom and AWS estimate that overall cloud waste often reaches 25% to 30% or even higher. GPUs are more expensive than CPU cores, and idle GPUs turn inefficiencies that were once just a rounding error on the bill into real costs. Graziano Casto of Akamas says that in the LLM era, the cost of ignoring inefficiency has risen by an order of magnitude almo
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