Hybrid Defender: Combining Rule-Based Signals and ML to Detect Jailbreak Prompts in LLMs
'Compact hybrid detector that combines regex rules and TF-IDF-powered ML to catch jailbreak prompts while preserving legitimate requests.'
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'Compact hybrid detector that combines regex rules and TF-IDF-powered ML to catch jailbreak prompts while preserving legitimate requests.'
Agentic AI promises richer customer experiences but brings testing, safety, and cost challenges; this article outlines practical strategies to de-risk deployments and scale responsibly.
'Learn seven practical observability practices for AI agents, from OpenTelemetry tracing to continuous evaluation and governance alignment, to run agents reliably in production.'
Discover how MLflow integrates with OpenAI Agents SDK to automatically log and trace multi-agent interactions and implement guardrails for safer AI responses.
OpenAI has open-sourced a multi-agent customer service demo showcasing how to build specialized AI agents using the Agents SDK, featuring safety guardrails and a transparent conversational interface.