Demoncore.ai detects adversarial threats, automates hardening, and continuously monitors ML systems so you can deploy AI with confidence.
From static analysis of model artifacts to real-time adversarial detection, Demoncore.ai provides a full-stack security layer tailored for modern ML workflows.
Automated scans of models, datasets, and inference pipelines to surface adversarial attacks, data poisoning, and privacy leaks.
Learn howOne-click mitigation recipes: adversarial training, input validation layers, and model sanitization delivered as reproducible pipelines.
See plansReal-time drift, anomaly and threat detection with alerting, audit logs, and compliance exports for SOC and compliance teams.
Read the docsQuick, non-intrusive integration with your CI/CD and model registry to identify risk vectors and automate remediation.
Static and dynamic analysis of model weights, training data, and serving endpoints to establish a security baseline.
Apply proven mitigations automatically or via suggested pipelines — including adversarial training and input sanitization middleware.
Continuous monitoring with alerts, audit trails, and compliance reporting to maintain safety over model lifecycles.
Built for teams who need secure, auditable AI in production.
Protect fraud detection and credit scoring models from adversarial manipulation and comply with regulatory audits.
Secure diagnostic models and patient data pipelines while preserving model performance and explainability.
Integrate protection into CI/CD to prevent supply-chain threats and maintain SLAs for AI-driven features.
Simple, transparent plans for teams of every size. Enterprise includes SLAs, on-prem connectors, and dedicated support.
Tell us about your deployment and we'll return a prioritized risk report within 72 hours.