Data Breaches
Due to data poisoning, tampering, or bias.
Rivial’s AI Governance Solution helps organizations build a secure, practical, and sustainable approach to governing AI use across the business. This solution is designed to assess the current state of the organization’s AI program, identify gaps against the NIST AI Risk Management Framework, and develop the policies, documentation, and ongoing processes needed to support responsible AI adoption.
AI is transforming highly regulated organizations, offering incredible potential to automate tasks, enhance decision-making, and drive growth. But with great power comes great responsibility. If AI risks aren’t managed effectively, they can lead to:
Due to data poisoning, tampering, or bias.
From model drift or lack of robust testing.
AI risks are not properly managed.
Policy Updates: Review and add AI-related content to existing policies, employee handbooks, and security protocols.
New AI Policy: Establish a dedicated AI risk management policy, including oversight teams, compliance processes, and data security measures.
Procurement & Change Management: Address AI in procurement, shadow IT risks, and assess third-party software updates introducing AI.
Issue Tracking: Update issue tracking systems to include AI- related risks and performance issues.
Risk Appetite: Adjust loss tolerance to accommodate AI- driven benefits and risks.
Data Types: Assess changes in data types and volumes due to AI integration.
Information Systems: Identify and track AI’s impact on existing systems and business processes.
Controls & Testing: Implement and regularly test AI-specific security controls, ensuring systems operate as intended without introducing new risks.
Continuous Testing: Ensure ongoing evaluation of AI systems for model drift, bias, and other risks.
Streamlined Compliance: Use integrated platforms to manage cybersecurity and AI compliance efforts together, ensuring continuous oversight.
Third-Party Monitoring: Enhance vendor security assessments with AI-specific safeguards and adversarial testing.
Data Security: Implement robust data access controls and secure storage practices for AI systems.
Model Governance: Ensure continuous AI model validation and governance in third-party solutions.
AI-Specific Playbooks: Develop tailored incident response plans for AI risks, including model drift and other AI-related failures.
Business Unit Involvement: Ensure business units play a key role in responding to AI-related incidents, alongside IT and Cyber teams.
Our solution integrates AI risk management directly into our current cyber risk model, ensuring consistency and reducing duplication. This allows you to manage AI risk with the same teams, processes, and tools you already use for cybersecurity.
Our solution ensures ongoing testing of controls and ensures that your AI initiatives align with industry regulations and standards, including NIST AI RMF. Our platform helps you build an AI strategy that not only meets regulatory requirements but helps you manage it going to build trust with members and customers.
"You guys are cutting edge. If everybody was doing this, my job would be so much easier. Nothing I've seen comes close to what Rivial is doing."
"Rivial's solutions mean we spent fewer hours in audit preparation, saving us around 60% of our time."
"The risk assessment was spot on perfect, thank you. Far more than anything our Board are used to seeing, but speaking their language."