BigID

Patented AI classification that classifies, categorizes, and contextualizes data with 1,000s of pre-trained, AI-supervised classifiers spanning 100+ languages

Discover and prepare data for AI training, cleanse sensitive information, ensure compliance, and monitor data across vector databases

Assess AI program risk, manage security posture, detect vulnerabilities and unusual access, and enforce responsible, compliant AI use

Track and control employee AI data sharing, label data for AI, apply guardrails, intercept risky prompts, and enforce user and role-based access controls

Assess AI risk posture (AISPM), detect model and agent vulnerabilities, control access, and flag sensitive data use within AI systems

Detect when AI agents access sensitive data, enforce permissions, monitor behavior, and flag unusual agentic activity before it leads to exposure

Find unsanctioned models and copilots, detect unauthorized data use, assess vendor AI risk, and flag sensitive data exposure across MCPs

Track and restrict access to genAI data by user, model, or agent to maintain security and accountability

Gain full visibility and control into who accesses what data and monitor activity

Role-based access control scoped by person, team, or domain

Leverage BigID's Agent for Stewardship to automate data curation, validation, and enrichment at scale

Categorize and label structured and unstructured data by business, domain, or semantic meaning to streamline governance

Automatically classify files, emails, chats, and code at scale using advanced machine learning and AI classification models

Label data by sensitivity, taxonomy, or business context across buckets, folders, tables, and vector databases

Apply flexible, automated labeling for sensitivity, taxonomy, or business context to streamline management and compliance

Label data by type, sensitivity, and AI readiness with automated, identity-aware tagging for policy enforcement and governance accuracy

Discover and secure data across 100s of sources including cloud, SaaS, on-prem, and development environments

Build the first catalog purpose-built for unstructured genAI data with semantic search and curation for RAG and model training

Index, discover, and curate unstructured AI training data with semantic search and context-aware insights

Detect, prevent, and remediate data leaks without agency, no latency, full SaaS

Extract, infer, and enrich metadata automatically using AI to improve accuracy, lineage, and ownership context

Identify and delete redundant, obsolete, or trivial data to reduce risk and storage cost across all environments

Enrich metadata with AI-driven inference for ownership, domain, and lineage to deliver a complete governance view

Mask or redact sensitive data before use in RAG or model training, and validate compliance with AI and privacy regulations

Protect sensitive data in motion and at rest through dynamic masking and redaction

Deploy without heavy agents with local deployment option when needed without backhaul or cloud copying

Monitor data activity, enforce least privilege, and prevent breaches

Simplify cookie consent and tracking compliance across websites and mobile apps

Deliver comprehensive privacy management spanning cookies, universal consent, data mapping, assessments, vendor management, data flow, RoPA, privacy preferences, DSR, and more

Automate DSAR, deletion, and portability workflows with full audit trails and compliance assurance

Give users control over how their data and AI interactions are used and processed

Centralize and enforce consent preferences for data and AI use across all channels

Remediate at scale with labeling, masking, redaction, retention, and deletion plus integrated compliance and privacy controls

Automate and orchestrate remediation flows with masking, redaction, labeling, permissions, and retention enforcement

Discover, assess, and take action on data and AI risk across every cloud, SaaS, and on-prem environment at enterprise scale

Track, assess, and prioritize regulatory and control risks across data and AI environments

Evaluate privacy and AI risks with continuous monitoring and actionable insights

Monitor, assess, and govern vendor data and AI sharing to reduce third-party risk

Integrated password vault for secure credential management

Certified for FIPS, PCI, HIPAA, ISO compliance standards

Visualize how personal and sensitive data flows across systems, regions, and AI pipelines