AWS Cost Savings & IAM Policy Risk Checker
Model AWS FinOps compute and storage reductions (Savings Plans, Spot, Graviton, gp3, S3 tiering) alongside air-gapped zero-trust IAM policy linting for wildcard admin privilege escalation.
Infrastructure Parameters & Commitments
AWS FinOps EngineApplicable to batch Whisper speech pipelines, stateless workers, and CI/CD.
Replaces x86 with c7g/m7g nodes: 20% lower cost + 19% higher compute density.
EBS & S3 Storage Optimization
Includes unattached EBS volumes, unused ALBs, and idle NAT Gateways identified via AWS Cost Explorer.
Monthly FinOps Savings Allocation
Enterprise Cloud Automation: Bridging FinOps Economics & Zero-Trust IAM
Scaling enterprise AI workloads—from dual-channel fine-tuned Whisper telephony clusters on AWS EKS to multi-agent swarms using Amazon Bedrock and LangGraph—creates twin challenges: runaway compute spend and excessive IAM privilege creep.
By combining automated Compute Savings Plans, Spot instance fault-tolerance for batch speech workers, Graviton ARM64 compute, and zero-trust IAM linting, organizations safeguard margins while preventing autonomous agent privilege escalation.
3-Year Compute Commitments
Compute Savings Plans automatically absorb changes across instance families (e.g. g5 to g6 GPUs, or c6g to c7g Graviton) while providing up to 52% cost reductions.
Wildcard Admin Mitigation
Eliminate Action: "*" and iam:PassRole vectors to guarantee that autonomous AI agents cannot mutate security groups or elevate IAM roles.
Zero-Egress Audio Sanitization
Enforce bucket policies requiring aws:SecureTransport: true and restrict S3 object retrieval to private VPC endpoints and dedicated KMS customer managed keys (CMKs).