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