AI agent blueprints for Security.
Evidence-first security workflows that stop at a reviewed recommendation before containment or access changes. Each pattern defines the evidence it reads, the artifacts it produces, the authority it may exercise, and the human who makes the consequential decision.
Security operations, application security, and identity teams
security owner
private · read/propose · human-gated
Nine jobs with a crisp acceptance test.
These are implementation patterns, not generic “AI for Security” pages. Open one to see its exact trigger, topology, grants, approval boundary, failure modes, and KPI.
Vulnerability triage
Combine scanner evidence, asset context, exploitability signals, and compensating controls into a reviewed priority decision.
critical finding triage time
Secrets exposure response
Build an exposure timeline, affected-resource list, and rotation plan without copying secret values into artifacts.
time to approved rotation plan
Access review evidence
Normalize account and entitlement exports, flag anomalous access, and produce a reviewer-ready certification packet.
access review completion time
Phishing investigation packet
Analyze sanitized message, sender, link, and user-report evidence into a bounded disposition and response checklist.
phishing disposition time
Cloud configuration drift review
Compare an approved baseline with an exported configuration snapshot and prepare a least-change remediation plan.
unreviewed high-risk drift
Security questionnaire evidence
Map questionnaire prompts to approved policy and control evidence, flag gaps, and draft answers for security review.
questionnaire turnaround time
Third-party security review
Synthesize vendor evidence, data access, architecture, and open risks into an approval-ready security assessment.
vendor security review cycle time
Security incident timeline construction
Order normalized event evidence, label confidence, and prepare a reviewable incident chronology without altering source logs.
timeline revision count
Security remediation verification
Compare a finding's acceptance criteria with new evidence and propose closure, reopen, or further testing.
reopened remediations
The workflow is autonomous. The authority is not.
- 01
Attach evidence
Put only this case’s approved inputs in a scoped workspace.
- 02
Run specialists
Each bounded node produces an artifact the next node can challenge.
- 03
Stop at proposal
External writes stay outside the agent’s default authority.
- 04
Record the decision
Keep the human approval as a decision record beside the signed evidence from the agent run.
Pick one expensive, inspectable job.
Start with real evidence, a named decision owner, and a measurable result. Expand the agent only after the receipt and acceptance test prove the workflow holds.