AI-Driven DevSecOps Compliance & AWS FinOps
Unite cloud security and economic efficiency. Our security agents perform 24/7 automated auditing against SOC2/ISO 27001 standards, minimize IAM privileges, while FinOps agents optimize EC2 spot fleets, rightsizing AWS resources to optimize cloud spend.
Production-tested execution flow designed for multi-region reliability and security.
Scans IAM roles, S3 bucket policies, and security groups using Prowler.
Generates automated audit logs for continuous ISO/SOC2 certification.
Converts over-permissioned wild-card JSON policies into strict resource scoped rules.
Identifies underutilized instances and orchestrates EC2 spot fleet transitions.
Automates security evidence gathering and generates continuous audit trail reports for compliance teams.
Analyzes CloudTrail log usage to prune unused permissions and generate tight JSON IAM policies.
Scans AWS Cost Explorer metrics to identify idle databases, unattached EBS volumes, and oversized EC2 nodes.
Automates spot fleet transitions with graceful termination handling for fault-tolerant workloads.
import boto3
def audit_cloud_spending():
client = boto3.client('ce')
# Fetch monthly AWS cost breakdown
cost = client.get_cost_and_usage(
TimePeriod={'Start': '2024-08-01', 'End': '2024-08-31'},
Granularity='MONTHLY',
Metrics=['UnblendedCost']
)
print("✓ Cost metrics collected. Triggering instance rightsizing analyzer.")
return cost['ResultsByTime']Agents analyze CPU/RAM telemetry from AWS Cost Explorer and CloudWatch, automatically identifying underutilized instances and transitioning eligible workloads to Spot Fleets or Graviton instances.
No. Security agents generate automated GitHub pull requests with recommended IAM policy updates, allowing your security team to review and approve changes cleanly.
Book an architecture review session with our senior AI engineers to assess your infrastructure and custom requirements.
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