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

Autonomous GenAIData 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 covering ChatGPT, Microsoft Copilot, Google Gemini, Claude, Perplexity, open-source models and enterprise AI pipelines
Deep-AI control covering major GenAI platforms, mobile layout
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
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
DLP
Blind to GenAI context & outputs
Detects known patterns
CASB / SSE
No data-level intelligence
Controls SaaS access
DLP
No runtime enforcement
Discovers data at rest
AI Security
Ignores data governance entirely
Secures models / apps
ADP for GenAI ✦
The only system solving the whole problem
The 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.
The ADP Closed-Loop Model: Classify → Prevent → Govern → Prove
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
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
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.
Quantifiable Impact — Average Realized Gains Across 100+ Deployments
90%
Classification Accuracy
Deep-AI driven, zero manual intervention — from day one
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
Average 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
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
💻
MCP Servers
Slack · GitHub · Google Drive
Next Steps
01
Enforcement Layer
GenAI Guardrails · Data Leak Prevention · Regulatory Compliance
02
Execution Layer
6 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