Threat Detection & Response
Continuous monitoring, Security Hub AI inventory, agentless vulnerability scanning, OCSF data lakes, and automated remediation.
AWS-native threat detection is enough for most workloads — once it is configured correctly. These guides cover GuardDuty across CloudTrail, VPC, EKS, S3, RDS, Lambda, and EC2 Runtime; Security Hub Essentials on resource-based pricing — including the Jul 2026 AI inventory that catalogs managed Bedrock/AgentCore/SageMaker assets, self-hosted stacks via Inspector SBOM, and external model APIs via GuardDuty DNS; Amazon Inspector with agentless EC2, Lambda code scanning, and CI/CD repo scanning; Amazon Detective for graph-based forensics; and Security Lake with OCSF 1.1. Plus the automation that turns findings into remediation runbooks instead of dashboard noise.
Part of the AWS Security & Compliance hub.
Guides
After Security Hub Essentials consolidated Inspector and CSPM into per-resource pricing (example: 500 units ≈ $1,875/mo), most AWS-only estates should run native first. This guide scores when Wiz/Orca-class tools earn a line item—and when paying twice for the same CVE is the real failure mode.
How to deploy, tune, and operationalize Amazon GuardDuty for production threat detection — covering finding types, multi-account setup, automated response, and reducing false positives.
Inspector v2 continuously scans EC2, ECR container images, and Lambda functions without agents. Production guide to CI/CD integration, finding management, risk scoring, and multi-account deployment.
Security Lake: OCSF Parquet in your S3. July 2026 — ingestion+conversion pricing, Hub vs Lake vs SIEM, rollout checklist.
AWS Security Hub aggregates security findings from 200+ sources and, as of Jul 14 2026, includes AI inventory for org-wide AI assets. This guide covers setup, compliance standards, AI inventory, automated remediation, and a compliance dashboard without hiring a SOC team.
Manual security triage cannot keep up with cloud-scale threats. Here is how to wire GuardDuty Extended Threat Detection, Security Hub, EventBridge, and Lambda into a self-healing AWS security architecture.
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 <1% of correlated criticals, isolate instead of terminate, and let auto-triage absorb the rest. Here are the runbooks.
July 2026 placement guide for AWS Security Agent full-repository code review (announced May 12, 2026): trust-boundary and data-flow analysis beside Inspector, CI SAST, and a reproducible pilot checklist — still preview terms; confirm console pricing.
How to build a vulnerability management program that scales beyond CVE-counting. Inspector v2 deployment, CVSS + CISA KEV + reachability for risk-based prioritization, container and IaC scanning in CI/CD, and remediation SLAs that survive audits.
Macie + Detective: S3 DSPM and forensic graphs. July 2026 — scope costs, KMS decrypt, paired Security Hub pipeline.
Services
Engagements where we apply the patterns above to your specific environment, regulatory scope, and threat model.
24/7 managed SOC and MDR for AWS — GuardDuty, Security Hub (AI inventory), Security Lake. Threat hunting, automated containment, incident response from an AWS Select Tier Partner.
AWS security consulting from an AWS Select Tier Partner. 2-week assessment, 4–6 week remediation, zero disruption. IAM hardening, public exposure, compliance gaps, and continuous monitoring.
Related subtopics
Sibling subtopics that buyers usually evaluate alongside this one.
Bucket-level controls, secret rotation, KMS post-quantum, Amazon Macie for data classification, and clean-room collaboration without raw-data sharing.
Multi-account is where compliance scope is either won or quietly lost. Control Tower, landing-zone topology, automated conformance packs, and drift detection — the patterns that hold scope at 50+ accounts.
Know every AI asset across accounts, then harden inference: prompt injection, PII leakage, hallucinations, and regulated model deployment.
FAQ
Our consulting engagements apply this guidance to your specific environment, regulatory scope, and threat model.