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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.

Memory-Safe Agent Tools

Memory-Safe Agent Tools

SkillEffect is a checked-lowering runtime that converts agent-generated tool programs into audited, memory-bounded implementations before execution. Its shared runtime supports six operator families and rejects adversarial proposals while improving completion under fixed memory caps.

Three Gates Blocking AI’s 2026 Takeoff

Three Gates Blocking AI’s 2026 Takeoff

The article examines three strategic questions that companies must answer before AI becomes a sustainable business: where they are positioned, whom they should work with, and how to generate recurring profits. It frames AI adoption as a business execution challenge beyond simply deploying models.

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