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June 2026 Eon Product Update

This month, we shared new research on the AI data readiness gap, showed how Eon helps AdTech teams build AI-ready infrastructure at massive scale, expanded protection to Google Workspace, and added new ways to classify and govern protected cloud resources.

Gibbs Cullen
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Gibbs Cullen
Updated on: 
Jul 1, 2026
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 min read
June 2026 Eon Product Update

Quick Summary

  • Protect Google Workspace data with automated backup and granular restore for Gmail, Drive, Shared Drives, and Groups
  • See how Rise processes 200B+ events per day with sub-minute freshness and open Iceberg tables
  • Understand why AI is outpacing today’s cloud data infrastructure with Eon’s 2026 report
  • Assess protected resources by network exposure, including public, external, corporate-accessible, and private-only assets

Data Protection for Google Workspace

Eon now protects Google Workspace, extending our cloud data protection platform into SaaS. Teams can automatically back up and granularly restore critical collaboration data across Gmail, Google Drive, Shared Drives, and Groups, all from the same Eon platform they use to protect cloud infrastructure.

With Google Workspace support, admins can recover individual emails, files, folders, or shared content from clean recovery points, helping reduce the impact of accidental deletion, compromised accounts, ransomware, insider activity, or AI-driven changes made with valid permissions.

Key capabilities include automated backups, granular restore, efficient storage with global deduplication, and enterprise-grade protection built on Google Cloud with domain-wide delegation. Read announcement to learn more.

2026 Report: AI Is Outrunning the Cloud

Our 2026 report, based on a survey of 583 cloud professionals, explores the data infrastructure gaps slowing AI progress, increasing operational risk, and limiting recovery confidence.

A few key findings:

  • 98% of executives are confident in their recovery capabilities, yet 56% of organizations experienced three or more recovery failures in the past year.
  • 75% of organizations are running AI workloads directly on production data because backup data remains inaccessible for analysis.
  • 57% say data is the biggest barrier to AI progress, while only 11% point to AI models or tooling.

Download the free report to learn more.

Bringing AI-Ready Data Infrastructure to AdTech

As AI adoption accelerates, AdTech teams need data infrastructure that can support real-time analytics and AI at massive scale, without adding more pipeline complexity or cost.

Eon automatically transforms operational data into an open, Iceberg-based data lake as it lands, continuously optimizing storage, validating data quality, maintaining metadata, and organizing data for analytics and AI.

Rise is one example. Processing more than 200 billion events and over a petabyte of data every day, Rise uses Eon to power an open, AI-ready data foundation with sub-minute freshness, automated data quality validation, 10x lower compute costs, and immediate access through Apache Iceberg tables. Read the case study to learn more.

Network Exposure Classification

Eon now classifies protected cloud resources by network posture, giving teams a clearer view of asset reachability and exposure. For each resource, Eon identifies the broadest audience that can access it, including the public internet, specific external sources, the corporate network, or private-only access.

Teams can use this classification to assess risk, create backup policies based on network posture, and filter or investigate inventory by exposure level.

Learn more

Want to learn more about Eon? Request a demo or follow us on LinkedIn to stay up to date on the latest developments.

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Gibbs Cullen
Gibbs Cullen

Product Marketing Manager at Eon