Build trust in AI through robust governance frameworks. Learn how organizations implement responsible AI with proper controls, risk management, and ethical guidelines.
Implement AI GovernanceProtect AI systems from attacks and misuse
Meet regulatory requirements globally
Explainable AI decisions and audit trails
Responsible and fair AI outcomes
AI Governance is a comprehensive framework of policies, procedures, and controls that guide how organizations develop, deploy, and manage artificial intelligence systems. It encompasses everything from ethical guidelines and risk management to regulatory compliance and security measures.
Effective AI governance ensures that AI systems operate transparently, make fair decisions, protect privacy, and remain aligned with organizational values and regulatory requirements. It's not just about technology—it's about building trust with stakeholders and society.
AI Guardrails are the technical and operational controls that enforce governance policies in real-time. They act as safety boundaries that prevent AI systems from generating harmful, biased, or non-compliant outputs.
Explore Our PlatformA comprehensive AI governance framework addresses these interconnected areas to ensure responsible AI deployment.
Identify, assess, and mitigate AI-related risks throughout the lifecycle. Implement controls for model reliability, data quality, and operational stability.
Align AI systems with evolving regulations like EU AI Act, NIST AI RMF, GDPR, and industry-specific requirements such as HIPAA and SOX.
Enable understanding of AI decision-making processes. Maintain comprehensive audit trails and provide explanations for AI-generated outputs.
Detect and prevent discriminatory outcomes. Ensure AI systems treat all users equitably across demographics and use cases.
Protect AI systems from adversarial attacks, data breaches, and prompt injection. Implement robust PII protection and data governance.
Maintain meaningful human control over AI decisions. Implement approval workflows and escalation processes for high-risk scenarios.
Organizations must navigate an evolving regulatory landscape. These frameworks provide guidance for responsible AI development and deployment, with Prime helping you achieve compliance across all of them.
Get Compliance AssessmentComprehensive guidance for managing AI risks across governance, mapping, measurement, and management.
World's first comprehensive AI regulation with risk-based categorization and strict requirements for high-risk systems.
International standard for AI management systems, providing a framework for responsible AI governance.
Extended SOC 2 criteria addressing AI-specific security, availability, and processing integrity requirements.
Without proper governance and guardrails, AI systems can create significant organizational and societal risks.
AI generates false or misleading information that can damage reputation and cause legal liability.
Sensitive PII and proprietary data exposed through AI interactions without proper controls.
AI systems perpetuate or amplify biases, leading to unfair treatment and regulatory action.
Prompt injection and adversarial attacks exploit AI vulnerabilities to manipulate outputs.
Implement these practices to build a robust AI governance program that scales with your organization.
Establish AI ethics committee with cross-functional leadership to set policy direction and resolve ethical dilemmas.
Create an AI registry that inventories all AI systems, their risk levels, and responsible owners.
Define clear policies for acceptable AI use cases, prohibited applications, and escalation procedures.
Implement role-based access with separation of duties between development, deployment, and monitoring.
Deploy real-time guardrails that enforce policies at the point of AI interaction, not after the fact.
Implement multi-model validation to catch hallucinations and verify accuracy before outputs reach users.
Enable comprehensive logging of all AI interactions for audit trails and incident investigation.
Configure human-in-the-loop workflows for high-risk decisions requiring expert review.
A phased approach to implementing comprehensive AI governance in your organization.
Catalog all AI systems in use. Identify stakeholders, data flows, and current risk posture. Evaluate regulatory requirements applicable to your industry.
Establish governance policies aligned with business objectives and regulations. Define acceptable use, risk thresholds, and escalation procedures.
Deploy technical controls to enforce policies. Configure Prime AI Guardrails with your specific requirements for policy enforcement, PII protection, and more.
Continuously monitor AI interactions, review analytics, and refine policies. Conduct regular audits and adapt to evolving regulations.
Let Prime help you implement comprehensive AI governance with enterprise-grade guardrails.