Rotation Safety
Are rotation steps ordered to avoid outages or auth loops?
PlannedVersion v0.1·Identity, Access & Secrets Hygiene
Identity & Secrets Remediation Benchmark
Measures AI models on remediating exposed secrets, over-privileged identities, stale credentials, and weak authentication configurations across cloud and SaaS.
Scope
What this benchmark measures
Secret leak triage and rotation guidance
IAM role right-sizing (least privilege)
Stale identity detection and removal
MFA / passwordless rollout planning
Secret-management platform recommendations
Evaluation
Evaluation dimensions
Each model response is judged on these dimensions by an LLM-as-Judge calibrated against expert annotations.
Least Privilege
Are IAM rewrites minimal yet sufficient for the workload?
Detection Quality
Does the model correctly classify real secrets vs. false positives?
Workflow Quality
Are the remediation steps ready for a JIT or break-glass operator?
Auditability
Does the fix produce an evidence trail compatible with SOC 2 / ISO?
Example
Sample benchmark case
An illustrative case to show how the model is presented with a problem and how its response is scored.
Finding
AWS access key AKIA... committed to public GitHub repo in `config/prod.env`.
Prompt summary
Generate the safe rotation sequence and remediation PR that prevents recurrence.
Ideal answer
Step 1: revoke key via IAM. Step 2: invalidate in CI secret store. Step 3: rotate consuming services. Step 4: replace with OIDC-federated short-lived credentials. Add pre-commit hook.
Scoring note
Models that recommend simply rotating the static key without moving to short-lived credentials are penalized.
Roadmap
Current version: v0.1
All Remediation Labs benchmarks evolve through three versions, increasing in difficulty and realism.
Current
v0.1Finding-only
Models are given the raw security finding and asked to recommend a remediation. No environment context provided.
v0.2Context-aware
Models receive the finding plus relevant system, code, and policy context. Evaluated on contextual reasoning quality.
v0.3Executable remediation
Models must produce a remediation that can be safely executed end-to-end — code patches, IaC changes, runbook steps — with verification.
Want the full Identity & Secrets report?
Get model leaderboards, scoring methodology, dataset details, and roadmap access — or discuss generating proprietary remediation datasets for your environment.
Or email us directly at info@remediationlabs.com