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

Autonomous GenAI Data Protection

The First System to Autonomously Govern Data in the Age of AI.

“The Board Approved GenAI. Nobody Approved Sensitive Data Leaving With It.”
  • $10.2M Avg. U.S. Breach Cost IBM 2025
  • #1 Fastest-Growing Vector AI Exfiltration 2025
  • 4% Revenue at Risk GDPR / NIS2 / DORA
  • 90% Classification Accuracy From Day One
DEEP-AI Control

Covers All Major GenAI Platforms

  • ChatGPT / OpenAI API
  • Microsoft Copilot (M365)
  • Google Gemini
  • Claude (Anthropic)
  • Perplexity · Grok
  • Open-Source Models (Llama etc.)
  • Enterprise AI 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.

GenAI is Now the Fastest-Growing Data Exfiltration Channel in the Enterprise.

Unlike email, SaaS, or endpoints — GenAI collapses access, transformation, and exfiltration into a single action. Every prompt is a data transfer. Every output is a potential leak. Every model is a persistent risk.

  • $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 Fastest-Growing Vector AI Exfiltration 2025

The GC Advantage

The only platform satisfying both simultaneously:

CISO

Prevention & Control

General Counsel Counsel

Defensibility & Audit

What’s Changed: The GenAI Risk Inflection

Risk Traditional World GenAI World — Today
Data flows are invisible
AI-Native Engine
Data Exfiltration Prevention
Auto Data Classification

result

Legacy DLP is blind, reactive, and structurally incapable of governing GenAI. Every prompt and upload is a data transfer. Every output is a potential leak. Every model is a persistent risk.

Legacy Solution Gaps — Why Incumbent Tools Cannot Solve This

Solution Failure Mode Capability
DLPBlind to GenAI context & outputsDetects known patterns
CASB / SSENo data-level intelligenceControls SaaS access
DLPNo runtime enforcementDiscovers data at rest
AI SecurityIgnores data governance entirelySecures models / apps
ADP for GenAI ✦The only system solving the whole problemThe only system solving the whole problem
Our Solution & Quantifiable Proof

The ADP Closed-Loop Model

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

  • Step 1

    Classify

    Deep-AI Contextual Intelligence

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

    → Zero manual policy tuning — 90%+ autonomous accuracy from day one.

  • Step 2

    Prevent

    Real-Time Adaptive Control

    What it does: Blocks, redacts, tokenizes or rewrites prompts. Governs outputs before they are shared or stored.

    → Stops threats from employees, contractors, AI agents & automated pipelines simultaneously.

  • Step 3

    Comply

    Enforcement of Regulatory Compliance

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

    → Differentiates safe vs unsafe AI tools. Enforces Zero Trust data usage across all models.

  • Step 4

    Prove

    Continuous Compliance & Defensibility

    What it does: Full forensic audit trail of every GenAI interaction. Regulatory mapping & instant executive evidence.

    → C4i CyberSOC dashboards bridge CISO operations with General Counsel in one view.

  • 90% Classification Accuracy Deep-AI driven, zero manual intervention
  • 70% Fewer Insider & AI Leaks Human actors, contractors, and AI agents all covered
  • 50% Faster Compliance Prep Fully automated evidence generation — on demand
  • 30% CapEx / OpEx Savings Avg. realized across 100+ global enterprise deployments

Outcome

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

Autonomous GenAI Governance Architecture

An Autonomous GenAI Governance Architecture

Built for the AI Era.

Actors

  • Human Operators

    Administrators & Analysts

  • AI Agents

    Autonomous GenAI & LLM Agents

  • Enterprise Apps

    3rd Party & Enterprise Systems

Cloud Access Security Broker Regulatory Compliance Enforcement Auto Data Classification Agent Actor Administration Agent Auto Policy Synthesis Agent Reporting Agent Auto Real-Time Workflows Agent Auto Data Access Control Agent Gen-AI Guardrails Data Leak & Exfiltration Prevention

DEEP-AI
CONTROL
CORE

Data Protection Channels

  • LLM Chatbots

    MS Copilot · Gemini · ChatGPT · Claude

  • LLM APIs

    Mistral · Anthropic · OpenAI · Vertex

  • MCP Servers

    Slack · GitHub · Google Drive

Next Steps
  • 01

    Enforcement Layer

    GenAI Guardrails · Data Leak Prevention · Regulatory Compliance

  • 02

    Execution Layer

    8 Autonomous AI Agents

  • 03

    Orchestration Layer

    Deep AI Control Core

The GC Platform operates as an autonomous control-plane — classifying, governing & enforcing data protection across every GenAI interaction, agent, and pipeline.

GenAI is the breach vector. Autonomous governance is the solution.

Request Architecture Walkthrough →
Ready to Govern Your GenAI Risk?

Stop the Fastest-Growing Breach Vector. Start in 30 Days

Join the Global 2000 enterprises governing GenAI with GC’s autonomous platform — zero downtime, zero rip-and-replace, and proven results from day one across 10+ industry verticals and 5 continents.

  • 01

    30-Day Proof of Value

    Zero-touch deployment on live GenAI tenant

  • 02

    Competitive TCO Analysis

    Custom cost model vs. your current stack

  • 03

    Executive Risk Briefing

    Board-ready GenAI governance gap analysis

  • 04

    Phased GenAI Governance Deployment Plan

    Structured migration