Separation of duties is the control every IT audit probes and the one fragmented tooling proves worst. The question is always concrete: show that the person who wrote this change didn't approve and deploy it alone, and show the certification artifacts — sign-offs, attestations, release records — that governed it. IT GRC platforms promise this and mostly deliver the framework half: control matrices, access certifications, policy attestations. The delivery half — SoD proven per change, certification artifacts tied to real releases — lives in the SDLC, where classic GRC suites don't reach. This roundup ranks the options honestly across both halves.
LoopIQ records the separation as work ships: role and permission management defines who can develop, approve, and deploy (the could-act layer), while approval policies enforce and record who did what per change request — identity, role, timestamp, artifact. Release certifications produce the governed sign-off artifacts audits sample, and the Release Compliance Dossier assembles the whole chain per release. Fit: regulated software teams whose SoD findings keep coming from the delivery side.
Deep control and risk management, policy workflows, and native adjacency to ServiceNow ITSM change records. The gap: engineering reality often lives outside ServiceNow, and the SoD join between Now-side approvals and pipeline-side deploys still needs building. Strongest where the whole enterprise genuinely works in the platform.
Archer remains a standard for enterprise risk and control frameworks with strong assessment machinery. It's a system of record for the program; per-change delivery evidence is out of scope by design.
Hyperproof organizes controls and evidence across frameworks with good reuse and audit workflow. SoD posture checks via connectors, yes; the sampled change-level proof, no — pair it with a generator.
Both continuously verify access configurations and policy acknowledgment — genuine value for the could-act layer. The did-act layer (this change, this approver, this deployer) isn't in their data model; it arrives, if at all, as uploaded screenshots.
For access certification, entitlement management, and SoD rule analysis (toxic combinations), identity-governance platforms go deepest. They answer who could act with authority — and stop there. No release context, no change-level proof.
Audits sample both layers, so mature stacks pair them: identity governance or a GRC monitor maintaining the could-act evidence, LoopIQ generating the did-act evidence and certification artifacts where releases happen. The join — access snapshot attached to the change record at approval time — is what turns two dashboards into one defensible answer. Teams consolidating from Jira-based flows import history rather than starting cold.
Script one scenario and hold every vendor to it: "Random production change from last quarter — prove the developer, approver, and deployer differ, show each one's authority, and produce the release's certification artifact." Framework suites will show you a control matrix; monitors will show posture checks; identity tools will show entitlements. Only a delivery-native record answers the actual question. Time the answer, multiply by your annual sample count, and the ranking writes itself.
SoD evidence is decided per change, and certification evidence per release — layers that classic IT GRC software describes but doesn't generate. Keep a framework or posture layer for the could-act half, and put a workflow-native generator under the did-act half. The audit finding you're preventing lives in the join.
Who could act — access and role data showing permission boundaries — and who did act: per-change records proving the developer, approver, and deployer differed on each specific change. Audits sample both, and most tooling covers only the first.
Archer, ServiceNow GRC, and similar platforms model frameworks, risks, and access certifications. Per-change proof lives in the SDLC — the change record, its approval, its deployment — which their data models were never designed to hold.
SailPoint and Saviynt go deepest on entitlements, access certification, and toxic-combination analysis — the could-act layer with authority. They stop at release context: no change-level proof of who actually approved and deployed.
Role and permission management defines who can develop, approve, and deploy; approval policies record who did, per artifact, with identity, role, and timestamp; and release certifications produce the governed sign-off artifacts audits sample.