Key Challenges
Multi-cloud Complexity
System needed to simultaneously scan and interpret AWS and Azure environments, pulling configurations, IAM, billing, and network data
Data Normalization
Normalize metadata across clouds into unified schemas and dashboards
Real-time Alerts
Identify risks, misconfigurations, and cost spikes instantly
AI Suggestions
Build an intelligent layer that doesn't just detect issues — but explains why and how to fix them
Enterprise Scalability
Support for onboarding dozens of enterprise accounts with complete security
Platform Performance & Savings
Cost Savings Per Customer
Security Issue Distribution
Security Posture Score Over Time
- Security Score
Our Solution
1Multi-Cloud Scanning Framework
- Used AWS SDK (Boto3) and Azure SDK to pull metadata on compute, storage, IAM, networking, billing, and audit logs
- Extract, normalize, and load into central warehouse (Amazon Redshift, Azure Synapse)
- Support for custom schedule or event-based scans
2Real-Time Risk & Cost Analysis
- Compare resource configs with best practices
- Detect S3 bucket misconfigs, overprovisioned VMs, unused IPs, open ports, expired certs, stale roles
- Calculate potential monthly savings from rightsizing and scheduling
3AI-Powered Recommendation Engine
- Generate human-readable suggestions with justifications using GPT-4
- Classify severity of issues (critical, high, medium, low)
- Suggest remediation scripts or IaC changes (e.g., Terraform patches)
4Security & Compliance Scanning
- Evaluated against CIS Benchmarks, HIPAA, SOC 2, and custom rules
- IAM role audits, MFA gaps, expired keys, over-permissioned policies
- Created PDF & dashboard-style reports for CISO teams
Example AI Insight:
"Your EC2 instance i-032fd9f3a3 in us-east-1 is underutilized (5% CPU over last 30 days). Recommended Action: Migrate to t3.micro or schedule stop during off-peak hours. Estimated Monthly Savings: $73.25."
AI & Cloud Architecture
Visual representation of our AI-powered security platform and multi-cloud architecture
Cloud Security Architecture
Multi-cloud scanning framework with real-time risk detection and compliance monitoring
AI Recommendation Engine
GPT-4 powered intelligent suggestions with context-aware remediation strategies
Multi-Cloud Strategy
Unified governance across AWS and Azure with automated cost optimization
Results Achieved
Scan Coverage
100+ AWS/Azure accounts analyzed per week
Average Monthly Savings
$18,200 per customer
Security Posture Score
+38% avg. improvement after 30 days
AI Suggestion Accuracy
91% approval by DevOps teams
Compliance Audit Time
Reduced by 70% with pre-built reports
Platform Features
Risk Detection Engine
Flags misconfigs, open ports, stale IAM users
AI Suggestion Generator
Personalized, context-aware suggestions
Cost Optimization
Recommendations on instance types, right-sizing
Compliance Reports
One-click PDF generation for audits
Alerts & Automation
Slack/Email alerts + ServiceNow, Jira integrations
With this platform, we now deliver deep insights and real savings to our customers — backed by AI that turns raw alerts into meaningful actions. Their team helped us launch faster and smarter.