Robust, Fair, and Secure AI/ML Models
Predictive AI and machine learning models—such as computer vision, tabular, and vector-based systems—are the backbone of enterprise automation and analytics. But these models face unique risks throughout their lifecycle.
During build time, predictive AI/ML models can absorb bias from training data, inadvertently process sensitive or regulated information, or become susceptible to adversarial manipulation. At deployment and inference, these models are exposed to adversarial attacks, data leakage, and fairness concerns that can undermine trust, compliance, and business value.
Unchecked vulnerabilities can result in regulatory penalties, reputational harm, and operational disruptions. Styrk AI delivers comprehensive protection—ensuring your predictive AI/ML models are robust, fair, and secure at every stage.
Explore Our Solutions
- Armor
- Cypher
- Trust
- Measures model robustness and resilience to adversarial ML attacks
- Neutralizes adversarial threats and mitigates weaknesses in real time
- Ensures your models remain reliable and secure in production
- Removes PII and sensitive data from unstructured files during training or inference
- Prevents exposure of confidential information in your AI/ML pipelines
- Integrates seamlessly with your data workflows
- Measures and mitigates bias within trained AI/ML models—no retraining required
- Improves model fairness and compliance with regulatory standards
- Enhances trust and transparency in your AI outcomes