Deeploy transforms AI audits from manual compliance burdens into automated processes with comprehensive logging, real-time monitoring, and audit-ready documentation.
AI audits systematically evaluate AI models to verify they operate safely, fairly, and within regulatory boundaries. Unlike traditional software audits that focus primarily on code quality and security vulnerabilities, AI audits examine model behavior, training data integrity, decision-making logic, and ongoing performance against established standards. As regulations like the EU AI Act impose strict requirements on high-risk systems, organizations must demonstrate compliance through comprehensive audit evidence.
AI audits need different infrastructure than traditional software. Models retrain continuously, predictions change, and evidence scatters across systems. Manual documentation can’t keep up. Organizations need automated systems that capture everything, stay current, and scale.
Deeploy turns manual audit work into automated processes. Organizations get continuous compliance without slowing down development.
About AI Audits
AI audits examine aspects that traditional software audits miss: training data quality, model decision-making logic, fairness metrics, prediction accuracy over time, and alignment with intended purposes. AI systems need continuous monitoring because model behavior changes as data evolves. The EU AI Act requires audit trails, conformity assessments, and ongoing documentation beyond traditional software compliance.
AI governance needs continuous monitoring, not periodic audits. Formal reviews may happen quarterly or annually, but systems need ongoing surveillance. Deeploy enables continuous auditing through real-time monitoring, automated alerts, immediate visibility into controls, and documentation that updates as systems evolve.
They should log every model prediction with inputs and outputs, user interactions and feedback, configuration changes, training activities, performance metrics, security events, human interventions, and system errors. Deeploy captures all of these automatically.
Deeploy automates evidence collection and documentation. It maintains audit trails of all system activities, generates technical documentation that stays current as models evolve, tracks control completion, and organizes compliance evidence in regulatory-ready formats. Organizations produce complete records in hours instead of spending weeks reconstructing decisions from scattered sources.
Yes. Internal teams use Deeploy for continuous monitoring and risk management. External auditors access audit trails, control completion status, and technical documentation maintained in Deeploy. Information gets structured in regulatory-ready formats, cutting audit preparation time significantly.
High-risk systems need conformity assessments, technical documentation, continuous monitoring, complete audit trails, risk management systems, and human oversight capabilities. Deeploy provides an EU AI Act control framework that automatically applies the Act’s requirement to live models. Additionally, it provides risk classification assessments, tailored documentation templates, event logging for Article 12 compliance, and continuous performance monitoring per Article 15.
