LogicGate Risk Cloud

Determines which risk domains apply to each third party and scopes the assessment accordingly.

Surfaces, tracks, escalates and tiers third-party risks with action plans to drive mitigation.

Sends, collects and evaluates third-party security questionnaires and assessments with collaboration and evidence workflows.

Provides ongoing visibility into third-party risk events through dashboards, alerts, reminders and notifications.

Generates continuous outside-in cybersecurity ratings of third parties from externally observable data.

Measures the potential impact of a third party on the business or supply chain and produces a risk impact estimate.

Connects to enterprise data sources and security and IT tools to feed risk and control data.

Centralizes enterprise risks, controls, issues and the risk register across the organization.

Maps identified risks and controls simultaneously to multiple compliance frameworks (NIST CSF, ISO 27001, SOC 2, CIS), from a single assessment, eliminating per-framework re-mapping.

Tracks regulatory and standard updates (new NIST guidance, amended GDPR guidance, PCI DSS version updates), and maps changes to affected controls in the program.

Plans, executes and tracks internal audits with findings and remediation.

Automates GRC workflows for assessments, issues, approvals and remediation across teams.

Delivers decision-ready risk reporting and dashboards for stakeholders and the board.

Maintains the policy library, routes exceptions for approval, tracks exception expiry, and ties policy requirements to associated risks and controls.

Governs AI use and risk as a capability within the GRC platform, including AI inventory, risk assessment and reporting.

Manages IT and technology risk, including control assessment, monitoring and remediation.

Identifies and registers risks across the enterprise from signals, assessments and connected data.

Tracks regulatory obligations, controls and compliance posture across frameworks.

Triggers and tracks remediation actions and treatment plans for identified risks.

Quantifies risk in financial or comparable terms to support prioritization and reporting.

Models risk scenarios and analyzes potential impact to support planning decisions.

Provides comprehensive audit trails of platform actions and activities across the AI life cycle.

Classifies, assesses and mitigates AI-specific risks such as bias and robustness, with content libraries for regulations and frameworks including the EU AI Act, NIST AI RMF and ISO 42001.

Generates standardized documentation such as model cards and datasheets for auditors and regulators.

Documents trust, risk and security assessments, testing and validation results, and remediation evidence for AI systems.

Maintains a centralized, discoverable registry of all AI use cases, applications, agents and models with metadata, ownership and deployment status.

Automates AI use-case intake, risk and security assessment, sign-off, attestation and approval workflows.

Connects across the AI and data stack, including data governance, model observability, AI discovery and AI security tools.