MLSecOps on Your Cloud
MLSecOps on Your Cloud: Simplified Security for Small SaaS Teams
Worried About Cloud Security Complexity?
Managing AI/ML pipelines on AWS, Azure, or GCP can feel overwhelming—especially when you don’t have a dedicated security team. You need turnkey ML security that installs quickly, scales with your growth, and stays within budget.
Our Turnkey, Managed MLSecOps Solutions
We handle end-to-end machine learning security on your chosen cloud platform, so your developers can focus on building features—not wrestling with configurations.
ML Security Building Blocks
- Automated Model Monitoring Deploy our prebuilt integrations for data drift detection, prompt-injection alerts, and model integrity checks—up and running in days, not months.
- Secure CI/CD for Models Integrate Semgrep/Snyk rules and artifact signing into your pipelines with one-click scripts, ensuring every model version is validated and tamper-proof.
- Compliance & Reporting Enable automated compliance checks for GDPR, SOC 2, EU AI Act, and HIPAA. Generate audit-ready reports with a single command.
- Adaptive Alerting & Triage Leverage our custom dashboards to surface only high-priority risks, minimizing false positives and alert fatigue.
Platform-Agnostic, Cloud-Native Expertise
Whether you run on AWS, Azure, GCP, or all three, our MLSecOps framework adapts seamlessly:
AWS
- SageMaker Model Monitor for continuous drift and quality checks
- AWS Config & Security Hub for infrastructure compliance
- IAM policies tailored to AI workloads
Azure
- Azure Machine Learning workspace isolation and encrypted compute
- Azure Monitor & Sentinel for unified security telemetry
- Managed identities & Key Vault for secret management
GCP
- Vertex AI monitoring for feature drift and anomaly detection
- Cloud Security Command Center for centralized vulnerability scanning
- Cloud IAM & Secret Manager for robust access controls
Benefits for 10–50 Employee SaaS Teams
- Rapid Deployment: Go from zero to secure in under a week with our automated scripts.
- Cost Predictability: Fixed integration fees and low-overhead monthly retainers align with your team size and budget.
- Minimal In-House Effort: No need for dedicated security staff—our experts manage MLSecOps on your behalf.
- Scalable with Growth: As your product and team expand, our framework scales seamlessly across multiple projects and clouds.