Fastly supports SCIM provisioning, but it is gated behind higher-tier enterprise plans. Stepwork automates Fastly provisioning with 98% accuracy — no API required.
SCIM is gated behind Enterprise Plan Complexity Vector: Permissions span services, configs, API tokens, and environments. Removing users without reassigning ownership or rotating tokens can break production—APIs don’t validate blast radius.
CDN and edge configuration changes are audit-relevant, yet evidence of approvals and access is commonly spread across logs and dashboards. This makes it harder to present a clean custody trail to auditors, which is why teams use Stepwork to automate Fastly flows with 98% accuracy without needing an API.
Fastly supports SAML sign-on. Stepwork authenticates through your existing identity provider — the same way your employees do.
Fastly supports SCIM provisioning, but it is gated behind higher-tier enterprise plans. Many teams don't need a full enterprise upgrade just for provisioning — Stepwork provides SCIM-like automation on any plan.
Stepwork automates Fastly provisioning through interface automation — the same way a human would, but with 98% accuracy and no API required. Record the flow once, and Stepwork runs it on demand or on a schedule.
Yes. Stepwork authenticates to Fastly through your existing identity provider (Okta, Microsoft Entra ID, 1Password, etc.) and completes MFA natively — including OTP, passkeys, and push notifications. No separate credentials or service accounts are needed.
The primary risk is role and environment provisioning across edge services is manual. Additional risks include privilege sprawl, delayed revocation, security and audit risk. Stepwork eliminates these risks by automating the entire provisioning workflow.
No. Stepwork completes MFA exactly like a human user — supporting OTP, passkeys, push notifications, and other methods. It signs in through your existing identity provider via SAML, mirroring your organization's security posture.
See how Stepwork provisions users in Fastly with 98% accuracy — in a 15-minute demo.
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