AI Supply Chain Security Assessment

A comprehensive inventory and risk scoring of all external models, datasets, and libraries in your AI pipeline. We identify unvetted dependencies, known vulnerabilities (CVE tracking), and license compliance issues, providing a clear roadmap for remediation or replacement.

Verifiable documentation tracing the origin, transformations, and custody of all training and fine-tuning data. This audit prevents poisoned or biased data ingestion and is critical for compliance with frameworks like NIST AI RMF and the EU AI Act's data governance requirements.

Implementation of security gates, automated scanning for model artifacts, and integrity checks within your MLOps deployment pipeline. This prevents compromised models from reaching production and integrates security into the AI development lifecycle (AI-SDLC).

Detailed assessment of the security practices of your AI technology vendors and data providers. This report evaluates their adherence to security best practices, helping you manage third-party risk and inform procurement decisions.

A tailored response plan for AI-specific security incidents, such as a detected model backdoor or data poisoning attack. This ensures your security team can contain, eradicate, and recover from supply chain compromises with minimal business impact.

A clear mapping of your AI supply chain security controls against major regulatory and industry standards, including NIST AI RMF, ISO/IEC 42001, and the EU AI Act. We provide prioritized recommendations to close compliance gaps efficiently.

Secure algorithmic trading models, fraud detection AI, and credit risk systems against supply chain backdoors and data poisoning that could trigger catastrophic financial loss or regulatory action. Our assessments cover third-party model marketplaces and proprietary training data sources.

Protect clinical decision support AI, diagnostic imaging models, and drug discovery pipelines from compromised pre-trained weights or poisoned biomedical datasets. We ensure patient safety and HIPAA/GDPR compliance across the entire AI development lifecycle.

Harden geospatial intelligence AI, autonomous systems, and secure communication models against nation-state attacks targeting the AI supply chain. Our air-gapped assessment methodologies identify risks in model repositories and deployment pipelines for sovereign AI infrastructure.

Audit the AI supply chain for autonomous vehicle perception systems and industrial quality control robots. We identify vulnerabilities in third-party computer vision models and training data that could lead to safety-critical physical failures.

Secure enterprise AI copilots, RAG systems, and multi-agent workflows against poisoned open-source dependencies and compromised deployment pipelines. Our assessments prevent data leakage and ensure the integrity of customer-facing AI features.

Protect grid optimization AI and predictive maintenance models from supply chain attacks that could disrupt utility operations. We assess dependencies in time-series forecasting models and IoT sensor data pipelines essential for reliability.