Strike Graph, a provider of AI-native compliance management platforms, has announced the expanding adoption of its Enterprise Workspaces capability, designed to centralize compliance governance for organizations operating across multiple subsidiaries, divisions, or locations.
The Enterprise Workspaces feature aims to address challenges faced by multi-entity organizations in managing fragmented compliance. As businesses expand through new subsidiaries, market entries, product launches, or acquisitions, compliance exposure tends to increase. Traditional GRC platforms have often not been structured to handle complex, multi-entity environments, leading organizations to rely on manual spreadsheets, duplicate efforts, and strain compliance teams.
A Strike Graph report, the 2025 State of AI in Compliance Report, indicates that 75.8% of respondents anticipate an increase in the number or complexity of compliance frameworks they manage. However, only 4.4% expressed high confidence in their current processes to keep pace with this scaling.
Justin Beals, Founder and CEO of Strike Graph, noted that “As organizations grow internationally and across business units, compliance complexity increases exponentially. Enterprise Workspaces was built to address that challenge head-on—empowering teams to centralize, customize, and continuously monitor compliance without manual spreadsheets or redundant work.”Enterprise Workspaces is designed to provide centralized governance for distributed organizations. It establishes clear relationships between primary and subsidiary organizations, enabling top-down control with entity-level flexibility. This allows organizations to define risks, controls, and evidence requirements at the primary level and deploy them to subsidiaries. Subsidiaries can then inherit these standards while also maintaining their own controls for specific local regulations or business requirements without affecting other entities.
The platform integrates Strike Graph’s patent-pending Verify AI to continuously monitor controls and validate evidence across all entities, aiming to identify gaps and reduce human error without requiring proportional growth in audit teams. It also offers a unified view for tracking and monitoring compliance progress across the organization and individual entities in real time.
Beals emphasized the architectural distinction of Strike Graph’s solution, stating, “Some platforms offer account separation and call it a day. That’s not governance—that’s just isolation. At Strike Graph, we give organizations real control: the ability to publish standards from the top, customize at the entity level, and validate compliance everywhere with AI. This is how modern enterprise compliance should work.”Unlike many GRC platforms built on rigid architectures where framework requirements, controls, and evidence are bundled, Strike Graph’s AI-native, graph-based data model treats these elements as interconnected yet independent. This architecture facilitates the publish-and-sync functionality, allows a single control to satisfy requirements across multiple frameworks and entities, and enables Verify AI to validate evidence across the entire enterprise structure.
Strike Graph’s Enterprise Workspaces has been applied in complex, multi-entity compliance programs within highly regulated sectors, including manufacturing and defense supply chains. Customers have utilized the platform to manage large-scale assessments, such as CMMC, which can involve hundreds of evidence artifacts per location, while maintaining central oversight.
Key enterprise use cases for the new capability include managing multi-location operations, supporting multi-product organizations in obtaining separate compliance certifications, enabling holding companies and subsidiaries to implement corporate-wide security policies, and facilitating shared services models where business units can access controls and evidence from centralized HR or IT groups.
Founded in 2020 by Justin Beals, Seattle-based Strike Graph provides an AI-native compliance management platform. The company states its platform leverages a graph-based architecture, Verify AI, an intelligent recommendation engine called Security Assistant, and dynamic mapping across over 30 compliance frameworks. Strike Graph operates its own AI models to maintain data security and privacy. The company reports having assisted hundreds of organizations in reducing compliance timelines by over 86% and achieving 100% clean audit reports.
