AI TOOL PROFILE

RecordPoint: Data Lifecycle and AI Governance Platform

RecordPoint helps GRC, IT, and privacy teams in highly regulated organizations manage data risk and compliance. It is designed to help teams automate retention policies and govern AI datasets.
  • Data and Analytics
  • Data Management
  • Enterprise companies
  • Mid-market companies
  • GRC teams
  • Information Governance teams
  • Privacy and Security teams
  • Highly regulated organizations

Pricing

Pricing is customized based on business needs. The model provides unlimited seats and records with no per-user fees.

At a glance

Best for
Enterprise companies, Mid-market companies, GRC teams, Information Governance teams, Privacy and Security teams
Key use cases
Regulatory Compliance Automation, Managing Data Subject Requests, Reducing Data Footprint, AI System Oversight
Integrations
Microsoft 365, Salesforce, Workday, Zendesk, SAP
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How AI is used

RecordPoint is a platform designed for the discovery and governance of both structured and unstructured data. It provides tools for classifying information and enforcing retention schedules across a range of business systems, which may help organizations maintain an audit-ready state for regulatory compliance.

The software is intended for companies in highly regulated sectors, such as financial services, the public sector, and critical infrastructure. It supports teams responsible for governance, risk, compliance (GRC), and data privacy.

Practically, the platform helps with the identification of sensitive information, the management of data subject access requests (DSARs), and the defensible disposal of redundant or obsolete data. It also includes features to oversee AI models and datasets to help detect unsanctioned AI use.

Buyers should confirm if the specific connectors for their systems are available and whether the AI governance tools align with their internal oversight requirements.

Key Features

  • Data Discovery and Classification

    Locates data across environments and uses AI-powered classification and metadata enrichment to categorize information.

  • Automated Retention and Disposal

    Applies retention policies automatically and supports policy-driven, audit-ready disposal of data.

  • AI Governance

    Provides visibility into AI system usage, helps govern models and datasets, and detects unsanctioned AI use.

  • Compliance Support

    Designed to help meet requirements for GDPR, CCPA, PCI DSS, ISO 27001, PIPEDA, and NIST frameworks.

  • DSAR and FOIA Management

    Supports the process of handling data subject access requests and Freedom of Information Act requests.

  • Risk Detection Reporting

    Uses signals to identify sensitive data and policy violations to generate risk reports.

Use Cases

  • Regulatory Compliance Automation

    Applying automated classification and retention rules to help meet global data privacy laws.

  • Managing Data Subject Requests

    Using content search to locate and respond to DSAR and FOIA requests.

  • Reducing Data Footprint

    Identifying and defensibly disposing of redundant, obsolete, and trivial (ROT) information.

  • AI System Oversight

    Discovering AI systems and governing the datasets used to train models.

Integrations

  • Microsoft 365
  • Salesforce
  • Workday
  • Zendesk
  • SAP
  • OneDrive
  • Egnyte
  • Network file shares

FAQ

Is RecordPoint a cloud-based platform?

Yes, it is a cloud-delivered SaaS platform, with some elements that can be deployed at the edge based on customer requirements.

Does RecordPoint use per-user pricing?

No, the licensing model is not based on a per-user model and provides unrestricted users and unlimited data under management.

Can RecordPoint manage physical records?

Yes, a physical records module is included in every subscription plan to manage physical and digital records together.

What types of data can RecordPoint govern?

The platform is designed to govern both structured and unstructured data across a range of business systems.

Source category: Data & Analytics

Source subcategory: Data Management

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