Tag: AI Safety Rails

In the defensive engineering of autonomous artificial intelligence systems, platform architects have historically focused almost exclusively on preventing negative outcomes. To mitigate the threats of prompt injections, unauthorized tool usage, data exfiltration, and malicious code synthesis, security teams wrap autonomous agents in layers of protective guardrails: input classifier models, deterministic regex scrubbers, semantic dialog policies, […]