About
Fairly AI, rebranded as Asenion, is a comprehensive AI Governance, Risk, and Compliance (GRC) management platform designed to help enterprises and SMBs manage the full lifecycle of AI risk and compliance. The platform delivers what it calls 'Fast AI with Assurance, Integrity, and Reliability,' empowering technology and policy experts to collaborate seamlessly on AI oversight. Key capabilities include AI governance policy creation, risk identification and mitigation, compliance management for major regulations (EU AI Act, Colorado AI Act, ISO/IEC 42001), HR bias audits, fair lending assessments, and LLM red teaming and jailbreaking evaluations. The platform can be deployed on private cloud environments and integrates with developer workflows through documented APIs and GitHub resources. Fairly AI has been recognized as a major player in the IDC MarketScape for Worldwide AI Governance Platforms (2023 and 2024) and appears in four Gartner AI TRiSM categories. Its customers include global Tier-1 banks, consulting firms, and regulated industry leaders who rely on it to standardize Model Risk Management, implement Responsible AI practices, and maintain compliance with evolving global AI standards. The platform is suitable for enterprise organizations as well as startups and SMBs seeking to implement trustworthy AI practices from the ground up.
Key Features
- AI Governance Framework: Establish policies and controls to ensure reliable, ethical, and secure AI systems across the organization.
- AI Risk Management: Identify, assess, mitigate, and monitor risks throughout the entire AI system lifecycle from development to deployment.
- Regulatory Compliance: Ensure AI systems adhere to major regulations and standards including EU AI Act, Colorado AI Act, ISO/IEC 42001, and fair lending requirements.
- LLM Red Teaming & Jailbreaking: Proactively test and evaluate large language models for vulnerabilities, adversarial behaviors, and security risks through expert-led red teaming sessions.
- Bias Auditing: Conduct specialized audits for HR bias and fair lending use cases to detect and remediate discriminatory outcomes in AI-driven decisions.
Use Cases
- A global bank standardizes its Model Risk Management practice using Fairly AI's governance and audit-readiness tools to satisfy regulatory examiners.
- An enterprise deploys Fairly AI on a private cloud to control generative AI usage while maintaining data sovereignty and security compliance.
- An HR technology company runs bias audits through Fairly AI to detect and remediate discriminatory patterns in AI-driven hiring and promotion decisions.
- A financial institution uses Fairly AI's fair lending audit capabilities to ensure its AI credit scoring models comply with anti-discrimination regulations.
- A technology team conducts LLM red teaming sessions via Fairly AI to identify jailbreaking vulnerabilities in deployed AI applications before production release.
Pros
- Recognized Industry Leader: Named a major player in the IDC MarketScape for AI Governance Platforms and featured in four Gartner AI TRiSM categories, providing credibility for compliance-sensitive industries.
- Rapid Private Cloud Deployment: Can be deployed on private cloud infrastructure in under 8 days, making it suitable for organizations with strict data residency and security requirements.
- Broad Regulatory Coverage: Supports compliance with multiple global AI regulations and standards in one platform, reducing the overhead of managing separate compliance tools.
Cons
- Enterprise-Focused Pricing: As a premium enterprise platform, pricing may be prohibitive for smaller organizations or individual teams without dedicated GRC budgets.
- Complexity for Smaller Teams: The breadth of governance, risk, and compliance features may present a steep learning curve for startups or organizations without dedicated AI policy expertise.
Frequently Asked Questions
What regulations does Fairly AI help organizations comply with?
Fairly AI supports compliance with the EU AI Act, Colorado AI Act, ISO/IEC 42001, fair lending regulations, and other applicable AI ethics and governance standards.
Can Fairly AI be deployed on a private cloud?
Yes, the platform supports private cloud deployment and has been deployed in regulated enterprise environments in under 8 days.
What is LLM red teaming and does Fairly AI offer it?
LLM red teaming involves adversarially testing large language models to uncover vulnerabilities, biases, and jailbreaking risks. Fairly AI offers expert-led red teaming sessions as part of its platform.
Who are Fairly AI's typical customers?
Typical customers include global Tier-1 banks, regional banks, consulting firms, and regulated enterprises that need to standardize Model Risk Management and implement responsible AI practices.
Is Fairly AI suitable for startups and SMBs?
Yes, Fairly AI offers tailored plans for startups and SMBs in addition to its enterprise offering, making AI governance accessible to organizations of various sizes.
