ai-safe2-secure-build-copilot

Auditing agentic AI systems for prompt injection and NHI risks involves applying the AI SAFE² framework across 128 controls and 5 pillars. This skill automates that process, generating before/after security analyses and governance artifacts mapped to ISO 42001, NIST AI RMF, and SOC 2.

Securing RAG-enabled workflows and multi-agent swarms requires applying policy-as-code enforcement and memory governance. This skill generates ready-to-deploy templates and runbooks that map controls directly to ISO 42001, NIST AI RMF, and SOC 2 frameworks.

Yes, you can generate SOC 2, ISO 42001, and NIST AI RMF governance artifacts. The skill produces immutable audit logs, SBOMs, traceable reasoning outputs, and board-ready reports to speed compliance and risk reduction for agentic AI systems.

Creating a governance plan for non-human identities and tool integrations uses the AI SAFE² framework. This skill applies 128 controls across 5 pillars to design, audit, and harden agentic workflows, delivering actionable implementation templates you can deploy immediately.

Yes, this AI safety skill provides ready-to-deploy templates and runbooks for secure design, deployment, and red-teaming of agentic workflows. It applies model-agnostic guardrails to review existing pipelines for gaps and compliance issues.

When applying automated governance to multi-agent swarms, consider that this skill delivers model-agnostic guardrails rather than runtime enforcement. It generates before/after security analyses, governance artifacts, and templates to support design and auditing, requiring integration into your deployment pipeline.