Draft:Auditry
This draft reads like an advertisement. Wikipedia is an encyclopedia, not a platform for promotion or marketing. Drafts that are exclusively promotional may be deleted without notice.
Wikipedia articles must be written neutrally in a formal, impersonal, and dispassionate way. They should not read like a blog post, advertisement, or fan page. Rewrite the draft to remove:
Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. If you have a conflict of interest (e.g. you are the subject, an employee, or a relative) or are being paid to edit, you must disclose this to comply with Wikipedia's Terms of Use.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Auditry is a software platform for artificial intelligence risk management, compliance monitoring, and AI auditing. The platform is designed to help organizations evaluate AI systems, collect technical evidence, monitor compliance controls, and prepare audit documentation.
Auditry focuses on continuous AI governance and regulatory compliance, particularly for organizations deploying AI systems in regulated industries such as financial services, government, and healthcare. The platform is marketed for use by compliance teams, risk teams, machine learning teams, data teams, and engineering leaders.
Overview
[edit]Auditry provides tools for monitoring AI systems and assessing their risk and compliance status. The platform collects evidence from AI infrastructure and maps that evidence to compliance and certification frameworks. It is intended to support continuous oversight of AI models, rather than relying only on manual or periodic audits.
The platform is positioned around use cases such as AI system inventory, control management, risk management, audit preparation, and compliance reporting.
Products and services
[edit]Auditry offers a web-based platform for AI trust, risk, and compliance management. Its stated features include:
- AI systems inventory – maintaining visibility into AI systems used by an organization.
- Automatic evidence collection – collecting technical evidence from AI infrastructure.
- Control management – evaluating controls and identifying exceptions.
- Risk management – separating factual gaps from business or regulatory consequences.
- Framework mapping – mapping collected evidence to compliance and certification frameworks.
- Audit packages – generating documentation and evidence packages for auditors and regulators.
- Real-time compliance monitoring – providing ongoing visibility into risk exposure and compliance posture.
Use cases
[edit]Auditry is designed for organizations that operate AI systems in production environments. Its use cases include:
- AI governance
- AI risk management
- Regulatory compliance
- Internal audit preparation
- Technical evidence collection
- Model oversight
- Control monitoring
- Compliance reporting
The platform is aimed at teams responsible for AI systems whose outputs may affect customers, revenue, legal rights, or regulated business processes.
Target industries
[edit]Auditry is presented as a platform for regulated industries, including:
- Financial services
- Government
- Healthcare
Technology
[edit]Auditry operates as a web-based software platform. It integrates with AI infrastructure to collect technical evidence related to models, deployments, controls, risks, and system changes. This evidence is used to support compliance monitoring and audit preparation.
The platform emphasizes continuous monitoring, allowing organizations to assess AI risk and compliance posture as AI systems are trained, deployed, updated, and used.
See also
[edit]- Artificial intelligence governance
- AI safety
- Algorithmic accountability
- Risk management
- Regulatory compliance
- Internal audit
- EU Artificial Intelligence Act
- SOC 2
- General Data Protection Regulation
- provide significant coverage: discuss the subject in detail, excluding routine coverage like product launches, staff appointments, or financial reports and listings in databases or listicles;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.