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Aegis Puts Agent Actions Behind a Trusted Runtime

Aegis Puts Agent Actions Behind a Trusted Runtime

Aegis is a runtime governance system that treats agent outputs as action proposals, then evaluates and authorizes them through a trusted policy layer before tool execution. In a sandbox evaluation, it recorded zero governed mock-tool applications and zero governed risky side-effect completions, though the authors caution that this does not establish general agent safety.

Build Agents Where Data Lives

Build Agents Where Data Lives

AWS presents its portfolio of vector search capabilities embedded in existing databases and storage services, eliminating the need for a standalone vector database or data migration. The post compares six purpose-built services and provides a framework for selecting the right vector engine.

AWS Machine Learning BlogOfficial1h ago#vector-search#rag#databases
AI Data Centers Trigger BBU Cell Rush

AI Data Centers Trigger BBU Cell Rush

Rising AI server power density is turning cabinet-level Battery Backup Units from an optional component into a required part of data-center power architecture. Global BBU cell shipments reportedly reached about 276 million units in the first half of 2026, intensifying shortages and competition among Asian battery suppliers.

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