Source: SiliconANGLE
As AI agents transition from labs into production systems—handling real code, data, and decisions—the industry is finally confronting execution risk rather than capability abstractions. The article frames safeguards (likely sandboxing, monitoring, rollback mechanisms, and approval gates) as operational necessities rather than ethical niceties, reflecting a pragmatic shift where enterprises care less about AGI philosophy and more about preventing a single rogue deployment from corrupting databases or shipping broken code. This mirrors how software engineering absorbed security practices decades ago: not because everyone got cautious, but because the liability and downtime costs made it rational to build guardrails into the pipeline.