Navigate AI risks with confidence using standards-based governance that drives innovation and protects your brand, data, and stakeholders.
(Artificial Intelligence) AI has moved beyond experimentation and is now a crucial part of daily business operations. From automating decisions to analyzing vast datasets and leveraging generative models, AI is at the core of innovative business strategies. But with great power comes great responsibility. Using AI wisely and securely is no longer a choice; it’s a necessity for businesses to thrive.
Advancements in AI have quickly outpaced traditional governance models, leaving gaps that must be addressed. Dedicated oversight, risk management, and adherence to evolving regulatory standards are now essential. Governments and industry bodies are introducing new policies and frameworks, making it critical for organizations to act swiftly to future-proof their AI systems.
At Echelon, we’ve developed an AI Governance service that equips your organization with the tools and practices needed to manage AI responsibly and securely. We help you achieve the following objectives with confidence and clarity:
Identify and analyze risks including data poisoning, algorithmic bias, adversarial inputs, and model drift.
Go beyond basic compliance with ethical principles and responsible use policies that foster public trust.
Improve accountability through robust model documentation, explainability, and audit trails.
Address AI-specific vulnerabilities like model theft, prompt injection, and unauthorized retraining. By integrating AI governance into your cybersecurity and GRC programs.
AI governance isn’t just about minimizing risks, it’s about enabling innovation. With the right frameworks and guardrails in place, your teams can confidently experiment, deploy, and scale AI solutions while ensuring ethical, compliant, and secure outcomes.
Whether you’re developing proprietary AI tools or integrating third-party models, Echelon helps you build an approach that’s:
Processes for continuous model review and improvement
Clear documentation aligned with global standards
Protection for your data, algorithms, and AI-driven decisions
AI is revolutionizing industries and reshaping the business landscape. With Echelon Risk + Cyber as your trusted partner, you can confidently lead this transformation, securing not just your technology but also your organization’s future.
Our AI Governance process is structured yet flexible, tailored to your organization’s maturity level and risk appetite:
Identify AI use cases, stakeholders, and potential risks across your environment.
Map your current AI practices to ISO/IEC 42001, NIST AI RMF, and other relevant standards.
Evaluate AI-specific threats, such as data leakage, bias, explainability, and model drift, across your systems.
Develop a custom governance framework, including roles, policies, procedures, and escalation paths.
Roll out AI controls and train internal stakeholders to promote secure and ethical AI use.
Establish metrics, reporting, and continuous improvement cycles to keep your AI governance program effective.
We provide a comprehensive suite of AI Governance services designed to meet organizations at every stage of their AI adoption journey. Whether you're developing proprietary models, integrating third-party AI tools, or managing vendor risk, our services help you secure, scale, and govern AI responsibly.
We design customized governance frameworks that align with ISO/IEC 42001, NIST AI RMF, and other global standards. These frameworks define roles, responsibilities, policies, and control mechanisms for ethical and secure AI usage while integrating seamlessly into your existing GRC or cybersecurity programs.
Our team performs in-depth risk assessments tailored to AI environments. We evaluate risks, including model bias, data leakage, model inversion, adversarial input attacks, explainability gaps, and privacy implications. Each assessment includes a mitigation roadmap tied to business objectives and compliance needs.
We assess your organization’s readiness for current and emerging AI regulations (e.g., EU AI Act, ISO/IEC 42001). This includes benchmarking your practices against regulatory and ethical standards, identifying compliance gaps, and prioritizing remediation efforts based on business impact and likelihood of enforcement.
We help you formalize model governance across the entire lifecycle, from data selection and training to validation, deployment, and decommissioning. Our support includes documentation templates, audit trail mechanisms, and controls for versioning, explainability, and model retraining governance.
As AI capabilities are increasingly embedded in vendor tools, we assess and manage third-party AI risk exposure. Our approach includes reviewing vendor practices, interrogating AI-powered services, and incorporating AI-specific requirements into procurement, onboarding, and ongoing due diligence processes.
We help you define your organization’s ethical principles for AI usage, covering fairness, transparency, accountability, and human oversight. These principles are translated into actionable policies and controls, supporting responsible innovation and stakeholder trust.
We offer targeted workshops and training sessions for leadership, legal, data science, product, IT, and security teams. Training covers foundational AI governance, risk mitigation, regulatory trends, and how to operationalize ethical AI practices in daily workflows.
We ensure your AI governance doesn’t exist in a silo. Our consultants align AI risk management with your broader cybersecurity, privacy, and enterprise risk management (ERM) initiatives—providing unified visibility and streamlined reporting for boards and regulators.
Understand and mitigate AI risks before they escalate into a crisis
Demonstrate compliance with evolving AI regulations and standards
Build internal awareness and stakeholder alignment
Enhance trust among customers, regulators, and partners
Lay the foundation for responsible innovation and long-term AI success
AI Governance is just one piece of the puzzle. Explore how our full GRC offering brings together risk management, compliance, and cybersecurity to strengthen your organization’s overall resilience.
AI governance refers to the policies, procedures, and controls that ensure the ethical, transparent, and secure use of AI technologies. It helps organizations mitigate risks, avoid bias, and comply with emerging regulations.
Any organization deploying AI or machine learning—whether internally developed or third-party—should implement AI governance. This includes companies in healthcare, finance, manufacturing, retail, and technology sectors.
We align our AI Governance services with ISO/IEC 42001, NIST AI RMF, EU AI Act, and industry-specific guidelines.
Yes. We help integrate AI governance into existing cybersecurity, compliance, and enterprise risk management programs for holistic oversight.