BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.  Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape.

BigID has raised over $280 million in funding since its founding in 2016 and is recognized for its data intelligence innovation as a 2019 World Economic Forum Technology Pioneer, named to the 2020 Forbes Cloud 100, a Business Insider 2020 AI Startup to Watch, #1 Fastest Growing Security Company on the 2021 Inc 5000, #27 on the 2021 Deloitte 500, and an RSA Innovation Sandbox winner.

Data Fabric

Full Data Coverage: Automatically connect to all data types including structured and unstructured data and start scanning to populate the data catalog and get a single view of your metadata.

Deep Learning and NLP: Automatically classify more types of data in more places: regular expression is just the start. Get next-gen classification with BigID that leverages not just pattern based discovery, but ML classification based on NLP and NER, AI insight based on deep learning, and patented file analysis classification.

Enriched with Semantics: Apply AI and ML automated profiling and tagging to add context to data. Layer technical, business and operational metadata to see data attributes and relationships for added context and data-driven insights.

Active Metadata Hub: Integrate with critical business applications and solutions like Salesforce, Snowflake, and ServiceNow to enhance the data ecosystem.

Data Retention App

Reduce data risk: Operationalize data retention with automation to apply the same policies across different types of data to ensure complete coverage and identify duplicate data to apply consistent policies

Apply consistent retention: Set policies to determine which data to maintain or discard and apply to all data – structured and unstructured, on-prem and in the cloud, across all data types, stores, and sources

Execute retention policies at scale: Import existing policies or create custom data retention rules to act on data aging. Tag data to keep, set up workflows to manage how long to keep it, and mark over-retained data for deletion.

Comply with regulations: Identify sensitive, critical, personal and regulated data to comply with relevant data retention policies, regardless of the industry or geography.

Automate Holistic Privacy Management

Proactively manage privacy requests, preferences, and cookie consent: Implement a branded self-service privacy portal – with customizable features to manage data rights requests and privacy preferences including request type, deletion workflows, regulation timelines, and remediation, all in one place.

Automate data rights fulfillment from access to deletion: Dynamically manage Data Subject Access Request (DSAR) at scale by discovering, classifying, and connecting data to specific user profiles to automate data subject access requests, validate data deletion, and generate DSAR pdf reports.

Build a Record of Processing Activities for Data Mapping: Identify and document data inventory to visually map data across the organization to assess how data is processed, transferred, and shared to reduce privacy risk.

Quickly assess risk with Privacy Impact Assessments: Estimate the risk within the data inventory using PIA industry-standard templates that comply with privacy regulations.

Manage data rights requests

Take control of data rights requests

Manage DSARs at scale by discovering, classifying, and connecting personal data to specific individuals. Automatically fulfill data rights requests easily and accurately – from right to access to data deletion – with comprehensive workflows driven by deep data discovery.

Streamline deletion workflows

Enable data deletion requests workflows for indexed PI by location – and ensure ongoing, automated validation of individual deletion requests. Continuously validate individual data deletion, and identify and flag inadvertent data collection and processing to minimize compliance violations and business risk.

Sustain compliance with reporting

Generate customizable external and internal reports for all DSARs processed by integrating relevant records and per-application details of an individual. Correlate any sensitive data accurately back to an individual, and take action on it.

Metadata Exchange & Enrichment

Enrich metadata management: Extend current metadata management by enhancing solutions including Alation, Collibra, EDC, Purview, and more with technical, business, and operational metadata.

Automate metadata management: Connect logical with physical elements to discover and document connections at scale with automation that replaces manual processes.

Reduce data risk: Govern data with privacy-awareness to protect valuable data assets and maintain a responsible data governance program.

Enhance integrated solutions: Make solutions in your ecosystem work better with intelligent automation and deeper insight.

Dimitri Sirota, CEO

Dimitri Sirota is the CEO and co-founder of BigID, a data management platform, and a privacy and identity expert. He is an established serial entrepreneur, investor, mentor and strategist, and previously founded two enterprise software companies focused on security (eTunnels) and API management (Layer 7 Technologies), which was sold to CA Technologies in 2013.

“Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.”