BigID

48%

COVERAGE

AI Risk Registry

Centralized inventory of all AI systems, models, agents, datasets, and vendors with risk classification, ownership, and lifecycle status tracking.

Model Cards / AI Cards

Auto-generate standardized documentation (model cards, system cards, AI factsheets) describing model purpose, training data, performance, limitations, and intended use.

Impact Assessment

Conduct and manage algorithmic impact assessments (AIAs), data protection impact assessments (DPIAs), and fundamental rights impact assessments as required by regulators.

AI Inventory & Classification

Auto-discover all AI systems across the org (SaaS, embedded, internal) and classify by risk level. Automated discovery vs manual registry documentation.

EU AI Act Mapping

Map AI systems to EU AI Act risk categories (unacceptable, high, limited, minimal). Track conformity obligations, timelines, and generate compliance documentation.

NIST AI RMF Mapping

Align AI governance practices with NIST AI Risk Management Framework functions (Govern, Map, Measure, Manage) and generate evidence of conformity.

Bias & Fairness Audit

Detect, measure, and mitigate algorithmic bias across protected characteristics. Support pre-deployment and ongoing fairness testing with statistical metrics.

Explainability & Transparency

Generate explanations for AI decisions in plain language for regulators, legal teams, and affected individuals. EU AI Act Article 13 requirement for high-risk systems.

Regulatory Intelligence

Automatically track evolving global AI regulations (EU AI Act, NIST, Colorado, Brazil, Korea, ISO 42001) and flag when new requirements affect your AI systems.

ISO 42001 Compliance

Specific support for the AI Management System standard — certification-ready documentation, control mapping, gap analysis, and evidence generation.

Policy Lifecycle Mgmt

Create, version, approve, enforce, and retire AI governance policies. Support workflow approvals, attestations, and exception management across the organization.

Audit Trail & Lineage

Maintain immutable records of all AI decisions, model changes, data lineage, and governance actions for regulatory audit, legal discovery, and internal review.

Incident Management

Detect, classify, escalate, and remediate AI-related incidents (bias events, safety failures, data breaches, compliance violations) with structured response workflows.

Data Lineage for AI

Trace data from source through training, fine-tuning, and inference. Know exactly which data trained which model. Critical for bias investigation and compliance.

Consent & Data Rights

Manage consent for AI training data usage, honor data subject deletion requests across model pipelines, track lawful basis for AI processing under GDPR/CCPA.

Third-party AI Risk

Assess and monitor AI risk from third-party vendors, SaaS tools with embedded AI, and open-source models. Track vendor compliance and contractual obligations.

Stakeholder Reporting

Generate governance dashboards, board-level reports, regulatory submissions, and compliance evidence packages for internal and external stakeholders.

Human Oversight Workflows

Enforce human-in-the-loop review gates, approval workflows, and override mechanisms for high-risk AI decisions as required by the EU AI Act and other frameworks.

Agentic AI Governance

Governance controls for autonomous AI agents: approval gates for agent actions, tool-use policies, agent onboarding risk assessment, and agent audit trails.

Vendor AI Risk Scoring

Score third-party vendors' AI practices with structured assessments and quantified risk scores for procurement decisions — not just tracking vendor names.