Trusted & Secure AI / ML Systems Assurance

Cyber Vet Solutions provides independent assurance services for AI-enabled and machine learning (ML) systems to ensure they are secure, trustworthy, and mission-appropriate. Our approach evaluates AI systems across the full lifecycle—from data ingestion and model training to deployment and operational use—ensuring they perform reliably and remain resilient against adversarial threats and unintended behaviors.

We assess AI/ML systems through a cybersecurity and mission-focused lens, identifying risks such as data poisoning, adversarial manipulation, model drift, and failure modes that can impact mission outcomes. By aligning AI assurance activities with operational requirements and decision-making needs, we enable organizations to deploy AI capabilities with confidence while maintaining transparency, control, and accountability.

How We Support Trusted AI Systems

Cyber Vet Solutions partners with organizations to validate and secure AI/ML systems in both development and operational environments. We evaluate data pipelines, model training processes, and deployment architectures to ensure integrity, robustness, and resilience across the AI lifecycle.

Our approach integrates cybersecurity, systems engineering, and risk management to assess how AI systems behave under normal and adversarial conditions. We identify where weaknesses in data, models, or system integration could lead to incorrect outputs, degraded performance, or mission-impacting decisions.

Through structured validation and continuous monitoring strategies, we help organizations ensure that AI systems remain reliable, explainable, and aligned with mission objectives—even as data, environments, and threat conditions evolve.

Core Capabilities

Cyber Vet Solutions supports organizations through the following trusted AI/ML systems assurance capabilities:

Independent security assessments for AI-enabled and data-driven systems
Evaluation of data pipelines, model training integrity, and deployment environments
Detection of data poisoning, adversarial manipulation, and model drift risks
AI failure-mode analysis impacting cybersecurity and mission decision support
Validation of model performance, robustness, and reliability under operational conditions
Pre-deployment testing and validation to ensure mission readiness
Continuous monitoring strategies for AI systems in production environments
Development of governance frameworks, including human-in-the-loop control mechanisms
Integration of cybersecurity controls into AI-enabled system architectures

Tools, Frameworks, & Engineering Approaches

Cyber Vet Solutions aligns its AI/ML assurance services with emerging government and industry standards and best practices, including:

NIST AI Risk Management Framework (AI RMF)
NIST SP 800-53 and SP 800-171 (applied to AI-enabled systems)
DoD Trusted AI and AI assurance guidance
MITRE ATLAS (Adversarial Threat Landscape for AI Systems)
Secure AI/ML lifecycle methodologies
Model validation, testing, and evaluation techniques
Data governance and integrity assurance practices

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