The increasing use of autonomous agents in application development introduces significant challenges for identity and access management. These agents, capable of provisioning cloud resources and deploying services at machine speed, can encounter security friction that slows down CI/CD pipelines. To address this "agentic-era" IAM challenge, Google Cloud is introducing IAM Helper. IAM Helper provides intelligent, agent-facing building blocks that automate complex IAM workflows for autonomous code assistants and deployment pipelines. It acts as an agent-native orchestration layer for Google Cloud IAM, integrating with existing engines like Policy Intelligence and Privileged Access Manager. This integration allows autonomous code to directly call IAM skills, reducing administrative overhead and improving security. IAM Helper empowers agents to dynamically manage access, shifting the burden of policy evaluation and complex orchestration to the Google Cloud backend. Packaged using the Agent Skills standard, these end-to-end workflows and guardrails work with common agents like Gemini and Claude. IAM Helper skills incorporate built-in guardrails, separating read-only discovery from policy changes, with automated diagnostics and simulations. Policy changes require human confirmation via customizable risk tiers. For example, an agent encountering a permission error can automatically troubleshoot, request a temporary grant, and resolve the issue. Autonomous pipelines can self-heal by generating least-privilege policies, verifying them against logs, and routing changes for approval. IAM Helper also assists in authoring compliant policies, generating and validating IAM v1 and v2 rules while blocking risky configurations. It enables rapid troubleshooting of 403 errors by identifying missing permissions, and allows simulations of policy changes to assess blast radius before rollout. Moreover, it facilitates just-in-time privileged access instead of standing privileges, ensuring audited and time-bound access. These agent skills are powered by foundational Google Cloud IAM MCP tools, which provide atomic, read-only functions to query IAM endpoints efficiently. Using these tools avoids the need for custom API wrappers, maximizing token efficiency and allowing agents to securely execute multi-step operations. Teams can access the IAM Helper Agent Skills Catalog and official documentation to begin implementing these capabilities.