Identify. Exploit. Secure.
Trust. Verify. Protect.
At Cyberintelsys Consulting Services, we help organizations secure their AI and Large Language Model (LLM) supply chains through comprehensive AI / LLM Supply Chain Security Assessments. Our experts evaluate risks across datasets, training pipelines, models, third-party dependencies and deployment environments to ensure AI systems remain trustworthy, resilient and tamper-resistant.
Brands We Helped Secure Through Their VDP Programs
AI / LLM Supply Chain Security Assessment is a structured evaluation that identifies and mitigates risks across the AI lifecycle, from data sourcing to deployment. It helps organizations verify dataset integrity, prevent poisoning and training manipulation, detect model tampering and secure third-party AI components and dependencies.
End-to-End AI Lifecycle Protection
We assess security controls across data ingestion, training, model storage, CI/CD pipelines and deployment environments.
Reduced Risk of AI Manipulation
Identify risks such as dataset poisoning, unauthorized fine-tuning and model replacement before they impact business operations.
Increased Trust & Reliability
Ensure AI outputs are based on trusted data, secure models and controlled processes.
Our AI / LLM Supply Chain Security Assessment covers
Data integrity and version control assessment
Training pipeline security and CI/CD controls
Third-party model and dependency risk analysis
Model tampering and replacement detection
Dataset poisoning and manipulation risks
Unauthorized fine-tuning and model drift risks
Model artifact storage and access control review
Secure deployment and inference review
At Cyberintelsys, we secure your AI and LLM supply chains through structured security assessments. Our comprehensive approach identifies risks across data, models and dependencies to ensure trustworthy, resilient AI systems.
We define AI assets, data sources, training workflows, deployment models and compliance objectives.
We analyze data ingestion, training pipelines, model management processes and third-party integrations.
We identify security, integrity and dependency risks across datasets, pipelines, models and infrastructure.
We assess existing security controls, access management and monitoring mechanisms.
We map realistic attack scenarios such as poisoning, tampering and unauthorized modification.
You receive a detailed report outlining risks, severity, impact and prioritized remediation actions.
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Our clients rely on us to secure their critical applications and protect their data. Hear what they have to say about our expertise, dedication, and the impact of our web application penetration testing services.
Thanks a bunch — this truly satisfies all of our current requirements. The team was amazing! It was a pleasure working with you, and I would love to collaborate again in the future for any upcoming requirements.
Great work! Thanks a lot for the speedy delivery and consistent support throughout the project. Your professionalism and dedication are truly appreciated.
Excellent work! The team’s responsiveness, attention to detail, and proactive approach made the entire project seamless. We truly value the effort and support provided throughout.
We sincerely appreciate the exceptional expertise, clear communication, responsiveness, and flexibility shown throughout this project. Your active involvement played a vital role in making it a success. We also extend our gratitude to your management team for their support.
Improved AI Trustworthiness
Ensure AI outputs are based on secure and fully verifiable inputs.
Protection Against Supply Chain Attacks
Reduce the risk of poisoning, tampering and dependency abuse.
Regulatory Compliance
Align with NIST AI RMF, ISO/IEC 42001, EU AI Act and industry expectations.
Cost Savings
Prevent costly AI failures, downtime and reputational damage.
Secure Third-Party AI Usage
Manage risks from open-source models, APIs and vendors.
Stronger Governance & Oversight
Establish accountability and visibility across the AI lifecycle.
Data-Centric Assessment
Focuses on dataset origin, integrity, governance and poisoning risks across AI pipelines.
Model-Centric Assessment
Evaluates model training, storage, fine-tuning stages and tampering protections across AI systems.
Pipeline & Deployment Assessment
Reviews core CI/CD pipelines, infrastructure security and inference environments thoroughly.
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Security Audit and VAPT
Cyberintelsys is an Indian cyber security solution provider helping companies from various industries to fight cybercrimes
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Mobile App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report.
Web App VAPT Sample Report
To the fullest extent permitted by law we accept no responsibility orliability to them in connection with this report. Any advice, opinion and expectation,
Our structured, step-by-step process ensures supply chain risks are identified, vulnerabilities are prioritized and your AI ecosystem remains protected against evolving threats. From assessment to validation, we ensure your AI models, data pipelines and dependencies are secure and trustworthy.
1. Initial consultation & AI asset discovery
Engage stakeholders to understand AI use cases, identify critical assets, data sources, models and third-party components across the supply chain.
2. Scope definition & supply chain mapping
Define assessment scope and map the complete AI supply chain, including vendors, datasets, models, infrastructure and deployment environments.
3. Architecture and data flow review
Review system architecture and data flows to identify trust boundaries, integration points and potential exposure across AI pipelines.
4. Supply chain risk assessment
Assess risks across data sourcing, model training, deployment and inference to identify vulnerabilities, dependencies and potential attack vectors.
5. Control effectiveness evaluation
Evaluate existing controls for data integrity, access management, monitoring and governance to determine their effectiveness against supply chain threats.
6.Threat modeling & attack simulation
Perform threat modeling and simulate realistic attack scenarios to validate defenses against poisoning, tampering, unauthorized changes and misuse.
7. Reporting & remediation guidance
Deliver detailed findings with prioritized risks and actionable remediation guidance to strengthen AI supply chain security and resilience.
8. Retesting & Improvement
Conduct retesting to validate fixes and continuously improve controls, ensuring ongoing protection against evolving AI supply chain threats.
Protect Your Business from Emerging Cyber Threats
Cyberintelsys helps you stay one step ahead of today’s advanced cyber risks. Our expert-led penetration testing and security assessments are designed to identify vulnerabilities before attackers do — helping you strengthen your security posture and meet compliance standards. Fill out the form, and we’ll get back to you with a tailored solution.
Frequently Asked Questions
Quick Answers to Your AI/LLM Supply Chain Security Concerns
Before production deployment, during major AI updates or when using third-party datasets or models.
This service focuses on lifecycle and supply chain risks. It can be combined with AI / LLM Penetration Testing for full coverage.
It strongly supports compliance with emerging AI regulations and governance standards.
Dataset poisoning, unauthorized model changes, dependency risks, CI/CD weaknesses and deployment misconfigurations.
A comprehensive AI / LLM Supply Chain Security Assessment Report with risk ratings, findings and prioritized remediation guidance.