Skip to main content

Blog category

Security & Compliance

Articles in this topic
56
5 min

Continuous Compliance Automation on AWS (2026): Config Conformance Packs, SSM Auto-Remediation, and Audit Manager — Past Security Hub

Security Hub detects control failures. It is not the compliance pipeline, and treating it as one is why teams still scramble for evidence at audit time. The four jobs are distinct: AWS Config detects drift, conformance packs deploy rules org-wide as immutable bundles, SSM Automation remediates the safe class, and evidence accrues via conformance-pack exports plus Security Hub control status (Audit Manager only if you onboarded before it closed to new customers on 30 April 2026). This post has the tool-per-job matrix, a conformance pack with auto-remediation, and the auto-remediation gotcha to design around.

Nash Ogden
6 min

AWS Incident Response Runbooks (2026): What Changes Now That Security Incident Response Is Metered and GuardDuty Correlates Attack Sequences

Two 2025 shifts rewrite the IR playbook: GuardDuty Extended Threat Detection now emits a single critical attack-sequence finding instead of a pile of high findings, and AWS Security Incident Response moved to metered pricing (free first 10,000 findings/month, then $0.000676 each) on November 21, 2025. The lesson is to page humans on the top 1% of correlated criticals, isolate instead of terminate, and let auto-triage absorb the rest.

Nash Ogden
7 min

AWS KMS Encryption Architecture (2026): The Per-Tenant CMK Trap, the 10,000 req/s Shared Quota, and When AWS-Owned Keys Win

Most KMS guides stop at "enable encryption." The architecture decision that actually bites is the key boundary: split one CMK into 3,200 per-tenant keys and you pay ~$3,200/mo in key storage alone while still sharing a single 10,000 req/s symmetric quota. The post covers the decision matrix, the throttle math, and the encryption-context pattern that gives per-tenant isolation without per-tenant keys.

Nash Ogden
7 min

Amazon Bedrock Automated Reasoning Checks: Production Hallucination Prevention with Math-Validated Factuality

Bedrock Automated Reasoning checks ground LLM outputs against formal logic policies you encode and mathematically validate that the response is consistent with the policy. This guide covers when to use Automated Reasoning vs contextual grounding, how to author the policy in production, the integration with Bedrock Guardrails, and the regulated use cases (HR, insurance, eligibility, regulatory determinations) where the difference matters.

Nash Ogden