Alyne (by Mitratech)
Transforming complex GRC mandates into actionable, AI-driven risk insights.
The leading unified platform for transforming how enterprises manage risk, audit, and compliance.
AuditBoard is a top-tier, cloud-native GRC (Governance, Risk, and Compliance) platform that, by 2026, has evolved into a fully AI-integrated 'Connected Risk' ecosystem. Its technical architecture is designed to dissolve data silos between internal audit, SOX compliance, risk management, and ESG teams. The platform utilizes a centralized data core that ensures real-time visibility across the entire risk posture of an organization. In the 2026 market, AuditBoard distinguishes itself through 'AuditBoard AI,' which leverages large language models and machine learning to automate the tedious aspects of control testing, evidence collection, and risk mapping. This shift from manual documentation to automated oversight allows organizations to transition from point-in-time audits to continuous monitoring. The platform is built on a highly scalable, multi-tenant infrastructure that integrates deeply with enterprise ecosystems like ServiceNow, Jira, and AWS, ensuring that compliance data flows seamlessly from technical infrastructure to executive dashboards. Its positioning is geared toward mid-to-large enterprises requiring a robust, defensible audit trail and a unified view of operational risk in an increasingly complex regulatory environment.
Generative AI and ML models used to summarize evidence, suggest control improvements, and flag anomalies in risk data.
Transforming complex GRC mandates into actionable, AI-driven risk insights.
Real-time, site-specific legal and regulatory tracking for global compliance.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A centralized repository that maps one control to multiple global frameworks (SOC, ISO, NIST, GDPR).
A relational data model that links risks, controls, and issues across all business units in real-time.
Native integrations that pull evidence directly from cloud providers (AWS/Azure) and SaaS tools.
Advanced Monte Carlo simulations and risk modeling tools integrated directly into the GRC workflow.
Algorithm-based resource allocation to manage auditor hours and project timelines effectively.
Automated vendor assessment workflows with integrated security ratings and automated follow-ups.
Manual tracking of thousands of controls across spreadsheets leads to version control errors and high audit costs.
Registry Updated:2/7/2026
IT teams struggle to map technical controls to high-level business risks.
Sustainability data is often scattered across departments, making formal disclosure difficult.