AI Security
Assessments
Comprehensive evaluation of your AI and machine learning systems to identify vulnerabilities, assess risks, and strengthen your AI security posture.
Secure Your AI Systems
AI and machine learning systems introduce unique security challenges that traditional assessments may miss. Our specialized AI security assessments identify vulnerabilities specific to ML models, training pipelines, and AI-powered applications.
From model extraction attacks to data poisoning risks, we evaluate your AI systems against the full spectrum of AI-specific threats and provide actionable guidance to strengthen your security posture.
Assessment Coverage
Comprehensive evaluation across all aspects of AI system security
Model Security Analysis
Comprehensive evaluation of ML models for extraction, evasion, and adversarial attack vulnerabilities.
Data Pipeline Review
Assessment of training and inference pipelines for data integrity, leakage, and poisoning risks.
Inference Attack Testing
Testing for model inversion, membership inference, and property inference vulnerabilities.
Supply Chain Assessment
Evaluate third-party models, pre-trained weights, and ML libraries for security risks.
Compliance Review
Alignment assessment against EU AI Act, NIST AI RMF, and industry-specific requirements.
Architecture Guidance
Security architecture recommendations for AI/ML system design and deployment.
Assessment Benefits
Discover how our AI security assessments can protect your AI investments
Model Security Review
Deep analysis of ML model architectures for vulnerabilities including extraction, evasion, and poisoning risks.
Data Pipeline Assessment
Evaluate training and inference data pipelines for security gaps, data leakage, and integrity issues.
Inference Attack Testing
Test AI systems against model inversion, membership inference, and other inference-time attacks.
Supply Chain Analysis
Assess third-party models, libraries, and data sources for security and integrity risks.
Compliance Alignment
Ensure AI systems meet emerging regulatory requirements and industry standards.
Actionable Recommendations
Receive prioritized remediation guidance with clear implementation steps.
Our Assessment Process
A systematic approach to evaluating and strengthening your AI security posture
Scope Definition
Define assessment boundaries, AI systems in scope, and specific security concerns.
Architecture Review
Analyze AI/ML system architecture, data flows, and integration points.
Threat Modeling
Identify potential attack vectors specific to your AI implementation.
Security Testing
Conduct technical assessments including model probing and data pipeline analysis.
Risk Analysis
Evaluate findings against business context and prioritize by impact.
Reporting & Guidance
Deliver detailed findings with actionable remediation recommendations.
Assessment Deliverables
Executive Summary
High-level overview of AI security posture with risk assessment for leadership.
Technical Findings
Detailed vulnerability documentation with evidence, impact analysis, and technical details.
Remediation Roadmap
Prioritized action plan with implementation guidance and effort estimates.
Compliance Mapping
Gap analysis against relevant AI regulations and frameworks with remediation steps.
Related Services
Ready to Assess Your AI Security?
Contact us for a comprehensive evaluation of your AI and machine learning systems.
Security is a Virtue.