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Gordon AI Compliance (GRC)

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Gordon AI Compliance manages an organization's governance, risk, and compliance programme across two parallel tracks: compliance with external security and privacy frameworks, and governance of AI systems the organization develops or deploys internally. For external compliance, the platform maps an organization's current security controls against the requirements of SOC 2, ISO 27001, ISO 42001, EU AI Act, GDPR, HIPAA, PCI DSS, NIST CSF, and Cyber Essentials. Controls are assessed through a combination of automated technical verification drawing on live data from connected cloud, identity, and security systems, and structured self-assessment for controls that cannot be verified programmatically. Compliance status updates continuously as the environment changes, rather than reflecting a point-in-time assessment. Evidence is collected and organized automatically per framework, reducing manual preparation ahead of audits. For AI governance, the platform maintains an inventory of AI systems in use across the organization, including third-party AI tools and internally developed models. Each system is assessed against applicable regulatory requirements and ethical risk categories, including data provenance, bias risk, explainability, and access controls, producing a per-system compliance status and risk score that updates as the system or its regulatory obligations change. Risk findings from both tracks are consolidated into a single register with remediation priorities, owner assignments, and progress tracking. Reports are available in operational and executive formats, technical control-gap details for security and compliance teams, and plain-language risk summaries for legal, procurement, and board stakeholders. All outputs are formatted as audit-ready evidence packages exportable on demand. The platform integrates with Microsoft 365, Google Workspace, AWS, Azure, and GCP to automate evidence collection and connects to HR and ticketing systems via APIs for owner assignment and workflow routing.

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