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AI Security Assurance

Are controls operating as required? Validate trust, security, and compliance across your AI ecosystem.

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From AI Governance Frameworks to Operational Assurance

As organizations accelerate AI adoption, demonstrating trust in AI systems has become critical. Businesses need confidence that their AI technologies are secure, reliable, transparent, and operating in alignment with industry standards and regulatory requirements. 

Tevora’s AI Assurance services help organizations evaluate and validate the effectiveness of their AI controls, governance practices, and operational processes. Through independent assessments and standards-based evaluations, we help organizations understand where they meet expectations, where gaps exist, and what actions are needed to strengthen trust in their AI initiatives. 

Our experts assess AI programs against leading frameworks, regulations, and industry guidance to help organizations establish defensible AI practices. Whether preparing for regulatory requirements, validating existing AI controls, or building confidence with customers and stakeholders, Tevora provides the assurance needed to scale AI responsibly. 

AI Assurance serves as a critical validation layer within Tevora’s AI Security Program, aiding organizations to move from AI adoption to trusted AI operations. 

AI Assurance
Standards and Frameworks

ISO/IEC 42001-Artificial Intelligence Management System (AIMS)
ISO/IEC 42001 establishes requirements for creating, implementing, maintaining, and continually improving an AI management system. It provides a structured approach for organizations looking to demonstrate responsible AI governance.
NIST AI Risk Management Framework (AI RMF)
The NIST AI RMF provides a flexible, risk-based framework for identifying, assessing, and managing AI risks across the AI lifecycle. It helps organizations establish trustworthy AI practices focused on safety, security, transparency, privacy, and accountability.
HITRUST AI
HITRUST AI helps organizations build trust in their AI by validating governance, security, and risk management practices against an established assurance framework. The result is stronger compliance, reduced risk, and increased confidence from customers, partners, and regulators.
EU Artificial Intelligence Act (EU AI Act)
The EU AI Act introduces a risk-based regulatory approach for AI systems, establishing obligations based on the level of risk associated with specific AI applications.

Framework alignment is a critical step toward building trusted AI; providing the evidence, confidence, and transparency needed to scale AI responsibly.

Selecting the Right Framework for Your AI Program

The right approach and framework depend on your AI maturity, industry requirements, regulatory obligations, and business objectives. Our team can help your organization evaluate your current AI ecosystem, identify applicable standards, and develop an assurance strategy that aligns with their specific needs. 

Build Confidence Through Trusted AI Validation

AI Assurance helps organizations validate that their AI systems, governance practices, and security controls are designed and operating effectively. 

As part of Tevora’s AI Security Program, AI Assurance provides the independent validation needed to strengthen confidence, support compliance, and enable responsible AI adoption at scale. 

Together with AI readiness, risk management, governance, testing, and tooling, AI Assurance helps organizations build a secure AI ecosystem designed for the future. 

Key Aspects of AI Compliance

Compliance with Existing Laws and Regulations

AI systems must comply with existing legal frameworks, depending on the region and sector. These laws govern data usage, privacy protection, and discrimination prevention to ensure AI does not cause legal harm.

Compliance with New and Emerging Standards

As new standards are released to address raising security concerns with AI usage, those new standards may introduce new considerations and requirements. Demonstrating adherence to these AI-specific standards can bolster client confidence in your handling of AI tools and technologies.

Experts in AI Assurance

Build and Manage a Secure AI Ecosystem

Go Forward. We’ve Got Your Back

Adopting AI is more than deploying new technology, it requires a structured approach to understanding risk, establishing governance, validating security, and operating responsibly as AI systems evolve. Our Secure AI Ecosystem brings these capabilities together into a continuous lifecycle that helps organizations innovate with confidence while maintaining security, compliance, and resilience.

We work alongside your teams to assess your AI landscape, establish governance aligned to your business objectives, validate the security of AI systems and supporting infrastructure, and provide the operational tooling needed to manage AI at scale. Rather than treating AI security as a one-time exercise, our approach delivers continuous visibility and improvement throughout the AI lifecycle.

Together, these capabilities create a practical framework for building, securing, and operating AI. Helping your organization move faster while maintaining trust, security, and control.

Why Choose Tevora for your
AI Resiliency Program

Security-First AI Governance
Our approach to AI governance is through the foundation of cybersecurity, risk, privacy, and resilience. This ensures governance decisions are grounded in how AI systems operate.
Practitioner Led Delivery
From initial scoping through final reporting, our experienced practitioners stay engaged throughout the process; bringing consistent expertise, strategic insight, and real-world offensive security knowledge to every phase of your assessment.
Strategy to Operationalization
We guide organizational leaders to operationalize AI governance through processes, controls, metrics, monitoring, and accountability mechanisms that can be sustained long after the engagement ends.
Built for Maturity Growth
Providing an actionable roadmap to build and sustain your growth as regulations, technologies, and business use cases evolve.

Frequently Asked Questions About AI Compliance

What is AI Regulatory Compliance?
Why is AI Compliance Important?
What are some examples AI-specific Compliance Standards?
What are the Consequences of Not Implementing AI Compliance?
What are Some Best Practices for an Effective AI Compliance Program?

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