Who should use the Moderate visual content workflow?
Teams or solo builders working on security & privacy tasks who want a repeatable process instead of one-off tool experiments.
Execution Map
7-step pipeline — follow each step in order
1Setup · Step 1 of 7
Open task pageDetect code vulnerabilities
Prepare inputs and settings through Detect code vulnerabilities before running moderate visual content.
Why this matters
Detect code vulnerabilities sets up the foundation for moderate visual content; clean inputs here reduce downstream rework.
What you get
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
2Input · Step 2 of 7
Open task pageDetect security threats
Use Detect security threats to build supporting assets that improve moderate visual content quality.
Why this matters
Detect security threats strengthens moderate visual content by feeding better supporting material into the pipeline.
What you get
Supporting assets from detect security threats are prepared and connected to the main workflow.
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3Input · Step 3 of 7
Open task pageDetect deepfakes
Use Detect deepfakes to build supporting assets that improve moderate visual content quality.
Why this matters
Detect deepfakes strengthens moderate visual content by feeding better supporting material into the pipeline.
What you get
Supporting assets from detect deepfakes are prepared and connected to the main workflow.
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4Core · Step 4 of 7
Open task pageModerate visual content
Execute moderate visual content with Moderate visual content to produce the primary final deliverable.
Why this matters
This is the core step where moderate visual content actually happens, so it determines baseline quality for everything after it.
What you get
A first-pass final deliverable is generated and ready for refinement in the next steps.
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5Refine · Step 5 of 7
Open task pagePerform facial recognition
Refine and validate moderate visual content output using Perform facial recognition before final delivery.
Why this matters
Perform facial recognition adds quality control so issues are caught before the workflow is finalized.
What you get
The final deliverable is improved, validated, and prepared for final delivery.
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6Refine · Step 6 of 7
Open task pageDetect liveness
Refine and validate moderate visual content output using Detect liveness before final delivery.
Why this matters
Detect liveness adds quality control so issues are caught before the workflow is finalized.
What you get
The final deliverable is improved, validated, and prepared for final delivery.
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7Deliver · Step 7 of 7
Open task pageVerify user identity
Package and ship the output through Verify user identity so moderate visual content reaches end users.
Why this matters
Verify user identity is what turns intermediate output into a usable, publishable result for real users.
What you get
A finalized final deliverable is ready for publishing, handoff, or integration.
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