AI Threat Modeling
Automated. Predictive. Actionable.

Generate living threat models that evolve with your systems. Identify misconfigurations, map attack paths, and quantify risk with agentic AI.

10x Faster Modeling
70% Manual Effort Saved
360° Coverage

What’s inside AI Threat Modeling

From design to runtime, continuous models keep pace with your architecture.

Automated Threat Enumeration

Derive STRIDE/LINDDUN threats from diagrams, code, configs, and infra metadata.

  • Model import: OpenAPI, Terraform, Cloud, K8s
  • Pattern and CWE mapping
  • Context-aware deduplication

Real-time Risk Scoring

Prioritize by exploitability and blast radius with continuous evidence updates.

  • Dynamic exposure analysis
  • Attack path simulation
  • Fix impact forecasting

Seamless Integration

Connect with code repos, CI/CD, CSPMs, SIEMs and ticketing tools.

  • Jira and ServiceNow workflows
  • PR annotations and guardrails
  • Webhook and API automation

Designed for modern architectures

Microservices, event-driven, and cloud-native systems require models that adapt with every deployment.

Cloud-native awareness

Understands identity, network, and data boundaries across AWS, Azure, and GCP.

Shift-left ready

Catch architectural risks during design and PR reviews—before they reach prod.

Audit-grade reports

Generate board-ready threat reports and attach evidence for faster approvals.

Agentic reasoning

Multiple agents collaborate to enumerate, verify, and prioritize findings.

Diagram synthesis

Auto-generate and update DFDs and trust boundaries from your sources.

Exploit alignment

Correlate threats with real exploit kits and active threat intel.

Policy guardrails

Enforce architecture baselines and prevent risky merges.

Ready to Transform Your Security?

Join industry leaders who trust CurlSek for their security automation needs. Schedule a personalized demo to see how our agentic AI can revolutionize your security posture.

Free security assessment
Custom integration plan
ROI calculation