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AI — Archive · Vol 337 Issue 1

15 articles that week

Security Boulevard, Thursday, April 2nd, 2026

How Treating AI Agents As Identities Can Reduce Enterprise AI Risk

Vol 337 · Issue 1 · 2026-04-02

AI agents are no longer experimental. They're running production workloads, calling APIs, querying databases, provisioning infrastructure, and making decisions across cloud environments. Ironically these agents often end up with more access than the developers who built them. They operate with real credentials, real permissions, and real consequences when something goes wrong.

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How Treating AI Agents As Identities Can Reduce Enterprise AI Risk

Security Boulevard, Wednesday, April 1st, 2026

Five AWS AI Controls Every Security Team Should Have

Vol 337 · Issue 1 · 2026-04-01

Most teams govern AI workloads at the application layer. They configure guardrails for their Bedrock agents, scope IAM roles per workload, and build policies around approved models. That discipline matters, but it breaks down the moment a developer spins up a new account or invokes a model directly without touching the application stack.

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Five AWS AI Controls Every Security Team Should Have

Cloud Native Now, Tuesday, March 31st, 2026

The Sandbox Solution: Closing The AI Testing Gap

Vol 337 · Issue 1 · 2026-03-31

Testing AI agents against real cloud infrastructure is expensive, slow and often unreliable. In this interview from KubeCon Europe, Mike Vizard speaks with Waldemar Hummer, CEO of LocalStack, about how high-fidelity sandboxes are helping development teams close the gap between writing AI-driven applications and validating that they actually work as intended.

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The Sandbox Solution: Closing The AI Testing Gap