What if we’re not on Kubernetes?

You can still apply the model: use OPA/Conftest for IaC (Terraform/CloudFormation), cloud-native detections (GuardDuty/SCC/Defender), host-based sensors (OSQuery/Elastic Agent), and sign artifacts with cosign. The primitives are the same.

Will this slow down our deploys?

Not if you design it right. Policy checks run in seconds and admission controls are cheap. Our clients maintain deploy frequencies of 20–100/day with guardrails and runtime detections in place.

You need a place to search and alert. Datadog, Elastic, Splunk, or Chronicle all work. Start with what your team knows. The key is clean routing, PII hygiene, and rule lifecycle management.

How do we keep false positives under control?

Test rules against real data, canary them, and set an explicit false positive SLO (<5%). Add ownership: every rule has an on-call team and a rollback plan.

How do auditors trust automated proofs?

Because they’re cryptographically verifiable and repeatable. Cosign signatures, SLSA provenance, and immutable decision logs provide stronger evidence than screenshots. We map them to your control framework (SOC 2, ISO 27001, HIPAA).

Security-compliance · Oct 20, 2025 · 10 minute read

The Night the SOC Missed It: Real‑Time Detections, Guardrails, and Audit‑Ready Proofs Without Slowing Delivery

Q: How do auditors trust automated proofs?

Because they’re cryptographically verifiable and repeatable. Cosign signatures, SLSA provenance, and immutable decision logs provide stronger evidence than screenshots. We map them to your control framework (SOC 2, ISO 27001, HIPAA).

Build detections that fire in minutes, encode policies as code, and produce automated evidence—while keeping PII out of your telemetry and shipping on schedule.

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The Night the SOC Missed It: Real‑Time Detections, Guardrails, and Audit‑Ready Proofs Without Slowing Delivery

Key takeaways

Implementation checklist