Agentic AIAI Agents and Tool Use
An AI agent selects actions and invokes tools, services, or workflows to pursue a goal across multiple steps.
AI change assuranceAI Change Evidence Package
An AI change evidence package assembles the artifacts needed to understand, approve, reproduce, and later audit a model, data, prompt, configuration, or integration change.
AI engineering assuranceAI Configuration Reproducibility
AI configuration reproducibility means an authorized team can recreate the relevant model build or runtime behavior from recorded code, data references, parameters, dependencies, prompts, and infrastructure settings.
Agentic AI securityAI Connector and Plugin Security
AI connector and plugin security governs integrations that let models read data or act through external applications and services.
AI safety engineeringAI Guardrail Engineering
AI guardrail engineering implements enforceable limits around model inputs, outputs, tools, data, and operating conditions.
Generative AI application securityAI Output Validation
AI output validation treats generated text, code, commands, queries, and structured data as untrusted until the consuming system verifies it.