AI Models Assessed
Models Vulnerable to Extraction
OWASP ML Top 10 Coverage
Typical Assessment Timeline
From adversarial machine learning to supply chain attacks, we evaluate every component of your AI infrastructure against the latest threat vectors.
Assess susceptibility to model stealing attacks through API enumeration, side-channel analysis, and distillation techniques.
Evaluate data leakage risks, poisoning vulnerabilities, and privacy violations in your training datasets.
Test model robustness against evasion attacks, perturbation techniques, and adversarial examples.
Comprehensive review of ML Ops pipelines, including CI/CD for models, feature stores, and experiment tracking systems.
Assess security controls around model registries, versioning systems, and model deployment artifacts.
Test model endpoints for information disclosure, rate limiting bypass, and denial-of-service vulnerabilities.
AI systems introduce a new attack surface. We assess your resilience against these novel threats.
Attackers manipulate training data to corrupt model behavior or introduce backdoors.
Reconstruct sensitive training data by exploiting model predictions and confidence scores.
Craft adversarial inputs that cause misclassification while appearing normal to humans.
Built on emerging frameworks like MITRE ATLAS and OWASP ML Top 10, our methodology combines data science expertise with offensive security techniques.
Identify all ML models, training pipelines, data stores, and inference endpoints across your organization.
Map potential attack vectors using MITRE ATLAS framework, considering data, model, and infrastructure layers.
Simulate real-world attacks including model inversion, poisoning, and evasion techniques.
Provide model-specific defenses, adversarial training techniques, and architectural improvements.
TensorFlow, PyTorch, scikit-learn, and custom models
Data, models, pipelines, and infrastructure
Secure your entire ML development lifecycle
Assessments by ML engineers and security researchers
Differential privacy and federated learning assessments
GDPR, CCPA, and AI regulatory compliance
Our assessments map directly to industry-standard frameworks for machine learning security, ensuring comprehensive coverage.
Secure your AIbefore it's exploited
Get a specialized security assessment for your machine learning models, training pipelines, and AI infrastructure.
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