Lexplosion
Enterprise-grade GRC and Regulatory Intelligence powered by automated legal engineering.
The enterprise standard for data-driven Governance, Risk, and Compliance (GRC) automation.
Galvanize HighBond (now part of Diligent) is a sophisticated SaaS platform designed to aggregate and automate enterprise-wide Governance, Risk, and Compliance (GRC) activities. Architecturally, it is built on a modular framework that consolidates risk assessments, audit workflows, and compliance tracking into a single source of truth. Its core differentiator is the integration of ACL Robotics—a powerful data automation engine that allows organizations to perform continuous monitoring of high-volume transactions, moving beyond sample-based auditing. By 2026, HighBond has solidified its position in the market as an AI-augmented platform, utilizing machine learning to predict risk trends and identify control failures in real-time. The platform addresses the fragmentation often found in legacy GRC systems by providing a unified data model that connects strategic objectives to operational risks and regulatory requirements. It is particularly valued by heavily regulated industries such as finance, healthcare, and energy, where the cost of non-compliance is high and data complexity is extreme. The technical stack supports high-scale data ingestion and features a robust RESTful API (HighBond API) for seamless connectivity with ERP systems like SAP and Oracle.
A proprietary scripting engine that automates data extraction, transformation, and loading (ETL) for continuous auditing.
Enterprise-grade GRC and Regulatory Intelligence powered by automated legal engineering.
Modernize GRC with an agile, graph-based platform for holistic risk management.
Unified Enterprise Legal, GRC, and HR Compliance through AI-driven operational intelligence.
Verified feedback from the global deployment network.
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Visual mapping of strategic objectives to enterprise risks with real-time KPI/KRI monitoring.
Automated cross-walking of regulatory requirements (ISO, GDPR, SOC2) to internal controls.
Flexible deployment of data processing nodes that can sit behind a firewall to access sensitive data.
Dynamic data visualization layer that pulls data directly from audit results and risk metrics.
Workflow automation that triggers investigative tasks based on data-driven exceptions identified by robots.
Uses historical audit data to predict potential future control weaknesses or anomalies.
Manual reconciliation of large datasets is prone to error and time-consuming.
Registry Updated:2/7/2026
Managing hundreds of Sarbanes-Oxley controls across multiple departments.
Lack of visibility into the security posture of hundreds of vendors.