BigPanda supports SCIM provisioning. Stepwork automates BigPanda provisioning with 98% accuracy — no API required.
SCIM and SAML role mappings require careful configuration Complexity Vector: Incident tools have granular role models and attribute-based role mapping, and normal automation breaks when mappings drift
It’s frustrating when incident response access has to stay perfectly aligned, because role drift and stale accounts create operational and audit risk. …which is why teams use Stepwork to automate BigPanda flows with 98% accuracy without needing an API.
BigPanda supports SAML sign-on. Stepwork authenticates through your existing identity provider — the same way your employees do.
Stepwork automates BigPanda 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 BigPanda 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 without reliable lifecycle automation, responder access and roles drift across incident tooling over time. (bigpanda documentation). Additional risks include orphaned accounts;, role mapping inconsistencies;, slow access reviews. Stepwork eliminates these risks by automating the entire provisioning workflow.
See how Stepwork provisions users in BigPanda with 98% accuracy — in a 15-minute demo.
Book a DemoNo. 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.