Cloud Security Posture Management
AI-powered continuous monitoring and remediation of cloud security posture risks
Business impact
- Mean Time to Detect (MTTD) — AI automation reduces detection time by continuously monitoring cloud configurations
- Mean Time to Remediate (MTTR) — Automated alerts and fixes speed up remediation of cloud security issues
- Compliance Rate — Continuous posture management helps maintain adherence to regulatory standards
Data requirements
- Cloud infrastructure logs (Structured) — Used to detect misconfigurations and anomalous activities in cloud environments
- Identity and access management data (Structured) — Analyzed to identify unauthorized access and risky permissions
- Configuration files and IaC templates (Code) — Scanned to ensure secure infrastructure as code deployments
- Security alerts and threat intelligence feeds (Text) — Ingested to correlate threats and prioritize response actions
AI methods and techniques
- Predictive AI — Forecasts potential misconfigurations and vulnerabilities before exploitation
- Generative AI — Automates remediation code generation for infrastructure as code fixes
- Agentic AI — Enables autonomous monitoring and response to cloud security incidents
AI models and model families
GPT-4, Claude, Custom Security ML Models
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