World’s Pioneering Autonomous Platform Solution Sheet — 01 of 02

Autonomous Email Data Protection

Complete, Provable Control Over Sensitive Data Movement in Email.

“Does your organization have autonomous control over sensitive data in email — or is legacy DLP still leaving you exposed?”
  • $10.2M Avg. U.S. Breach Cost IBM 2025
  • #1 Email: Top Breach Vector Verizon DBIR
  • 90% Classification Accuracy From Day One
DEEP-AI Control

Covers All Major Email Services

  • Microsoft 365 — E1 / E3 / E5 / E7
  • Google Workspace
  • Domino / IceWarp
  • MS-Exchange (On-Prem & Hybrid)
  • Skyconnect / Zoho / Zymra
  • SMTP Relay & Custom Pipelines
Enterprise Email:

The #1 Breach Vector Your Board Has Not Contained.

Enterprise email (Microsoft 365, Google Workspace) — the primary vector for sensitive data exfiltration by insiders, attackers, and automated systems alike. Legacy DLP covers fewer than 2 of 9 critical exfiltration vectors. The gap is not a feature gap — it is an architectural failure.

  • $10.2M Avg. U.S. Breach Cost IBM 2025
  • $4.4M Global Avg. Breach Cost IBM 2025
  • 4% Global Revenue at Risk GDPR / NIS2 / DORA
  • #1 Email: Top Breach Vector Verizon DBIR

The GC Advantage

The only platform satisfying both simultaneously:

CISO

Prevention & Control

General Counsel

Defensibility & Audit

What’s at Stake

Business Continuity Risk

  • Intellectual Property & Trade Secrets

    AI-driven theft & inadvertent leaks in regulated verticals

  • Healthcare & Financial Records

    High-sensitivity PII & PHI crossing email perimeters undetected

  • Privileged Legal Communications

    Breach of attorney-client privilege via email exfiltration

Regulatory Liability

  • Cloud EM/GDPR / HIPAA / PCI-DSS / CCPA / DORA / DPDPAIL

    M365 · Google W/multi-jurisdictional fines up to 4% global revenue/space

  • Cross-border Data Transfer Violations

    Automated workflows moving regulated data across jurisdictions

  • SOX Executive Liability

    Inadequate internal controls; $99M+ fines + prison for executives

Legacy Solution Gaps — Why Incumbent Tools Cannot Solve This
  • 01

    Email DLP

    Static policies, false positives, manual tuning — zero real exfiltration control

  • 02

    Secure Email Gateways

    Inbound threat focus only — zero authority over outbound data movement

  • 03

    Compliance / GRC

    Post-event documentation — no real-time data protection capabilities

Result

Uncontrolled insider risk, IP leakage, regulatory exposure & cross-border violations — all undetected until after the damage is done.

Our Solution & Quantifiable Proof

The Autonomous Closed-Loop Model

A continuous, Deep-AI driven governance loop — replacing manual intervention with autonomous classification, prevention, compliance, and defensibility across every email interaction.

The Autonomous Closed-Loop Model: 4-Step Architecture
  • Step 1

    Classify

    Deep-AI Contextual Intelligence

    Differentiator: 90%+ autonomous accuracy — zero human intervention or manual rule-tuning required.

    + Impact: Automatically classifies all confidential data — structured or unstructured.

  • Step 2

    Prevent

    Deep-AI Contextual Intelligence

    Differentiator: Neutralizes threats from any actor — employees, contractors, malware, AI agents etc.

    + Impact: 70%+ reduction in insider-driven and GenAI-related data leaks.

  • Step 3

    Comply

    Enforcement of Regulatory Compliance

    Differentiator: Native enforcement for GDPR, HIPAA, PCI-DSS, CCPA, DORA, and DPDP — zero tuning.

    + Impact: Shields organization from regulatory fines reaching 4% of global annual revenue.

  • Step 4

    Audit

    Executive-Ready Forensic Reports

    Differentiator: C/I CyberSOC dashboards bridge the gap between CISO operations and General Counsel.

    + Impact: 50% faster compliance and audit preparation via fully automated evidence generation.

Quantifiable Impact — Average Realized Gains Across 100+ Deployments
  • 90% Classification Accuracy AI-driven, zero manual tuning
  • 70% Fewer Insider & AI Leaks Human and non-human actors covered
  • 50% Faster Compliance Prep Automated evidence generation
  • 30% CapEx / OpEx Savings Avg. realized across 100+ deployments

Outcome

Continuous, autonomous enforcement with real-time regulatory defensibility — shifting enterprises from reactive monitoring to proactive risk governance.

Competitive Capability Matrix & Use Case Coverage

Where Legacy DLP Fails

Why Legacy DLP Cannot Catch Up

  • Architectural Lock-In

    Modular, additive systems can detect — but never govern. Intelligence cannot emerge. Just adding AI will not fix the problem, it will only worsen it.

  • Not Built to Handle New Threats & Gen AI

    Designed for human actors with static rules, they cannot deal with the explosion of new actors (malware, AI agents, bots) and amplification of data movement.

  • Loss of Visibility & Control

    Can at best provide visibility & controls for only 20% of data (structured) and not 80% of data (unstructured).

Next Steps
  • 01

    30-Day Proof of Value

    Zero-touch deployment on live tenant

  • 02

    Competitive TCO Analysis

    Custom cost model vs. your current stack

  • 03

    Executive Risk Briefing

    Board-ready gap analysis & compliance report

  • 04

    Phased Displacement Plan

    Structured migration, zero downtime

Next Steps
Full Coverage Partial Coverage No Coverage

Capability Matrix — GC vs. Email DLP Tools

Capability Email DLP GC Platform
Data Leak Prevention✓✓
AI-Native Engine×✓
Data Exfiltration Prevention×✓
Auto Data Classification×✓
Auto Data Access Control×✓
Auto Policy Generation×✓
Actor & AI Agent Administration×✓
Regulatory Compliance Enforcement—✓
CyberSOC Forensic Trails—✓
SaaS & On-Prem Deployments—✓

Use Case Coverage — 9 Critical Exfiltration Vectors

Accounting for 70%+ of real-world email breaches

Capability Type Email DLP GC Platform
Mis-Attached EmailsAccidental×✓
Mis-Typed / Wrong RecipientAccidental×✓
Mis-Directed EmailsAccidental—✓
Malware Password-Protected TxMalware—✓
Bot Volume-Volume TransmissionsMalware×✓
Cloud Draft ExfiltrationMalicious×✓
Exfiltration by EncryptionMalicious×✓
Exfiltration by Mis-ClassificationMalicious×✓
GenAI Poison Email ExfiltrationGenAI×✓

GC achieves complete coverage across all 9 critical use case categories

The only solution with full coverage across every accidental leak or malicious exfiltration email vector — trusted by the Global 2000 across 10+ industry verticals and 5 continents.

Autonomous Architecture

An Autonomous Data Protection Architecture

Built for the AI Era & Unbounded Complexity

Actors

  • Human Operators

    Employees, Consultants, Contractors

  • AI Agents

    Autonomous GenAI & LLM Agents

  • Enterprise Apps

    3rd Party & Enterprise Systems

Data Leak & Exfiltration Prevention Regulatory Compliance Enforcement Auto Data Classification Agent Actor Administration Agent Reporting Agent Auto Multi-Tier Workflows Agent Auto Data Access Control Agent Auto Policy Synthesis Agent

DEEP-AI
CONTROL
CORE

Email Channels

  • Cloud Email

    M365 · Google Workspace Exchange Online

  • On-Prem Email

    MS Exchange · Domino IceWarp Lotus Domino

  • Other Services

    Skyconnect · Zoho Mail Zymra Custom SMTP

The GC Platform operates as an autonomous control-plane — classifying, governing, enforcing data protection & providing compliance across every email vector without rip-and-replace.

Email is the breach vector. Autonomous control is the solution.

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Autonomous Data Protection

Stop the #1 Breach Vector. Start in 30 Days

Join the Global 2000 enterprises that have deployed GC’s autonomous email data protection — with zero downtime, zero rip-and-replace, and proven results from day one.

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