Domain Model
Entity Taxonomy
All cyber domain objects defined, typed, and versioned
World Premiere·
RSA 2026·
World's First
AutonomousData Protectionfor The AI Era.
A platform that continuously observes, understands, and protects sensitive data in real time — without human interaction.
Powered by a breakthrough Deep-AI based 5th Generation Cybersecurity engine.
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Eliminates blind spots
100% autonomous coverage across every actor, every channel, every threat vector.
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Kills analyst fatigue
90% reduction in manual policy overhead & false positives. Your team operates at strategic altitude.
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Stops exfiltration
For all actors — AI agents, users, malware, machines, apps — across all channels, in real time.
- 90% Policy management eliminated
- <1s Exfiltration stopped
- Zero Manual policies required
- 100% Attack surface covered
Rule-Based Security Has Failed. Manual Response Cannot Keep Up. Fragmentation Creates the Breach.
These are not criticisms — they are architectural realities. Rule-based data protection fails at scale. Manual response cannot keep up with autonomous threats. Fragmented tools create the blind spots attackers weaponize.
83% of enterprises experienced multiple breaches last year — while running mature security programs. The tools didn’t fail because they were misconfigured. They failed because the model is broken. It cannot be patched. It must be replaced.
- $10.2M Average enterprise breach cost in 2024
- 287 Average days to identify and contain
- 83% Of enterprises suffered multiple breaches
- 60% Of sensitive data now lives outside perimeter
THE SECURITY ARCHITECTURE PROBLEM
The threat landscape crossed a threshold.
The threat landscape crossed a threshold.
Static tools can’t catch up.
AI agents, autonomous malware, malicious insiders, and machine-speed exfiltration are operating in your environment now. Every second your protection relies on human review, you are losing ground.
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PROBLEM 01
Scale broke the rule-based model.
Millions of sensitive data events per day. Rule-based DLP requires a human to write and maintain a rule for every pattern. At enterprise scale, that’s not a policy problem — it’s an impossibility.
→ Eliminate with: Autonomous policy synthesis
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PROBLEM 02
AI threats broke the human-in-the-loop model.
LLM agents and machine-generated exfiltration operate faster than any alert queue. Your SIEM receives the notification 47 minutes after the data left. The human review model is broken at machine speed.
→ Eliminate with: Sub-second autonomous enforcement
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PROBLEM 03
Fragmentation broke unified enforcement.
The average enterprise runs 7–12 security tools with overlapping coverage. Each sees a fragment. None share a unified data model. Attackers route through the seams. Your stack adds up to exposure, not protection.
→ Eliminate with: Unified autonomous coverage fabric
Rule-Based Security Has Failed.Manual ResponseCannot Keep Up.Fragmentation Createsthe Breach.
These are not criticisms — they are architectural realities. Rule-based data
protection fails at scale. Manual response cannot keep up with autonomous threats.
Fragmented tools create the blind spots attackers weaponize.
83% of enterprises experienced multiple breaches last year — while running mature
security programs. The tools didn’t fail because they were misconfigured.
They failed because the model is broken. It cannot be patched. It must be replaced.
- $10.2M Average enterprise breach cost in 2024
- 287 Average days to identify and contain
- 83% Of enterprises suffered multiple breaches
- 60% Of sensitive data now lives outside perimeter
Solution Architecture
Introducing the World’s FirstAutonomous Data Protection Platform
A single autonomous platform delivering zero-trust data protection solutions across Gen-AI, Email, Cloud Storage, SaaS Applications, and Collaboration Platforms — powered by 5th Generation Cybersecurity.
- Solution 1 — Gen-AI & LLM Protection
- Solution 2 — Email Data Protection
- Solution 3 — Cloud / SaaS Protection
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Human Operators
Employees, Consultants, Contractors
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AI Agents
Autonomous GenAI & LLM Agents
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Enterprise Apps
3rd Party & Enterprise Systems
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Unknown Actors
Malware, Ransomware, Spyware, Apps, Machines
⚡ Active Threat Vector
ADC
DAC
AAA
APS
RRA
ARW
DLEP
Compliance
Deep
AI
Solution 1 — Gen-AI & LLM
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LLM Chatbots
MS Copilot · Gemini · ChatGPT · Claude
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LLM APIs
Mistral · Anthropic & all major providers
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MCP Servers
Slack · GitHub · Google Drive
Solution 2 — Email
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Cloud Email
M365 · Google Workspace
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On-Prem Email
Exchange · Domino
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Other Email Services
Icewarp · Skyconnect · Zoho · Zymra
Solution 3 — Cloud / SaaS
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Cloud Storage
AWS S3 · Google Drive · OneDrive · Dropbox · Box
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SaaS Applications
Salesforce · ServiceNow
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Collaboration Platforms
SharePoint · Slack · Microsoft Teams
Zero-Trust Enforcement Layer — Legend
DLEP
Data Leak & Exfiltration Prevention — Enforces protection against both accidental data leaks and malicious exfiltration attacks across every channel, AI interaction, and cloud service.
Compliance
Regulatory Compliance Enforcement — Autonomously enforces a variety of industry compliance frameworks including PCI-DSS, GDPR, HIPAA, CCPA, GLBA, SOX, DPDP and more.
How Autonomous Data Protection Works
Three steps that replace an entire security team’s manual labor.
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Step 1
It observes everything
Every data access, movement, and transmission — across email, cloud, SaaS, GenAI, and collaboration tools — is continuously observed. Not sampled. Not logged after the fact. Observed in real time.
Business outcome: Detects risky data usage patterns before exfiltration
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Step 2
It understands behavior
The platform builds and continuously updates a living model of how data flows in your organization — who accesses what, when, from where, and why. It knows normal. It immediately identifies deviation.
Business outcome: Zero disruption to legitimate workflows, zero false negatives on threats
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Step 3
It acts autonomously
The platform autonomously detects and neutralizes critical security attacks with zero human involvement. Human-in-the-loop reinforcement available based on the nature of the incident. Autonomous enforcement, machine-speed containment, zero human latency.
Business outcome: Eliminates the 287-day mean time to contain — permanently
Now — here’s the architecture that makes all of this possible:
The Autonomous Data Protection System · How It Actually Works Under the Hood
The Autonomous Data Protection System powered by A Comprehensive Deep-AI World Model
A proprietary 5th Generation Cybersecurity engine that continuously tracks data usage across every channel, user, and AI agent — detecting and preventing exfiltrations automatically. This is your unfair advantage.
- Stops threats before exfiltration — not after
- Zero manual policy maintenance required
- Board-level defensibility built in
Structural Encapsulation
Relationships
Semantic Graph
Typed relationships capturing data lineage and trust chains
Threat Map
Attack Surface Index
Continuously updated model of exposure and blast radius
Policy Fabric
Control Ontology
Machine-readable rules derived from posture and context
Data
Classification
Agent
Risk Analyzer
Agent
Policy Synthesis
Agent
Exfiltration
Detection
Agent
Compliance
Agent
Workflows
Agent
Zero-Trust
Agent
Data Governance
Agent
World Model
5th Gen
Cyber
Security
Autonomous
Behavioral Encapsulation
Agent Cognition
Intent Modeling
Agents reason over context to infer user and entity intent
Feedback Loop
Reinforced Learning
Model continuously refines from observed outcomes and signals
Autonomous Controls
Controlled Autonomy
Guardrailed agents act within defined blast radius constraints
Agent Coordination
Orchestrated Action
Agents collaborate across domains without human orchestration
The question isn’t whether your data will be targeted.
It’s whether your protection will be fast enough.
Trusted by the Global 2000
Across All Major Industry Verticals
- Banking
- Financial Services
- Government
- Healthcare
- Hi-Tech
- Insurance
- Manufacturing
- Oil & Gas
- Pharma
- Retail
- Critical Infrastructure
- Defense
Security Architecture Evolution
Five Generations of Enterprise Security
Every era of cybersecurity has been defined by a single architectural breakthrough. GC Cybersecurity is defining the fifth.
Gen 1 · 1990s
Network Security
Gen 2 · 2000s
Endpoint Security
Gen 3 · 2010s
Data Security
Gen 4 · 2020s
Cloud Security
Gen 5 · 2026
Autonomous Security
The next category is emerging:
Autonomous Data Protection
Platform Coverage
Protect Data Everywhere It Moves
ADP provides continuous autonomous coverage across the complete enterprise attack surface — from cloud infrastructure to AI application pipelines.
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Gen-AI Applications
Comprehensive & automated data protection against data leaks and exfiltrations by Users, Agents, Apps, LLM gateways, MCP gateways etc. Covers all Gen-AI apps.
- ChatGPT
- Copilot
- Claude
- Gemini
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Email Platforms
Intelligent and fully automated email data protection with multi-mode deployments for all Email services.
- Microsoft 365
- Gmail
- Exchange
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Cloud Platforms
Continuous identification, classification and exfiltration prevention of sensitive data to any cloud apps.
- AWS S3
- Azure Blob
- GCP Storage
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SaaS Applications
Real-time monitoring and enforcement across all SaaS data flows — from upload, share to export.
- Salesforce
- Workday
- ServiceNow
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Network Traffic
Automatically monitor, detect and prevent against data leaks & exfiltrations across any network protocol.
- FTP
- HTTP/HTTPS
- XMPP
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Collaboration Systems
Autonomous governance of sensitive information across modern collaboration and productivity platforms.
- M365
- Slack
- Teams
Agentic AI Architecture
A coordinated system of specialized AI agents. One autonomous enforcer. Zero human latency.
Six purpose-built AI agents work in concert — orchestrated by the ADPP Intelligence Layer. Rather than six independent tools, they form a single unified capability across three functions.
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Function 01
Understanding
Continuously classifies every piece of sensitive data and scores the real-time risk profile of every user, agent, and application across your enterprise. No static rules. No human-defined categories.
- Data Classification Agent
- Risk Analysis Agent
Outcome: Detects risky data usage patterns before exfiltration
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Function 02
Decisioning
Generates, verifies, and deploys security policies autonomously — and applies GRC-based data access control logic for real-time decisions. No policy meetings required.
- Policy Synthesis Agent
- Data Access Governance Agent
Outcome: 90% reduction in manual policy management overhead and false positives
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Function 03
Enforcement
Executes autonomous response — from user notification and session suspension to incident ticket creation and regulatory reporting — with zero human latency in the loop.
- Workflow Automation Agent
- Exfiltration Detection Agent
Outcome: Mean time to contain drops from 287 days to <1 second
Autonomous Data Protection
Sample Use Cases
Six purpose-built AI agents work in concert — orchestrated by the ADPP Intelligence Layer. Rather than six independent tools, they form a single unified capability across three functions.
Every enterprise that buys security tools still gets breached.
The architecture is the problem. We are the architectural fix.
CISO Business Impact
From Alert Fatigue to Strategic Control
GC Cybersecurity transforms your security posture from reactive investigation to autonomous, continuous protection — freeing your team to operate at strategic altitude.
- 287→<1s Mean time to contain — before vs. after Fortune 100 Financial Services
- 62% More exfiltration attempts detected vs. prior DLP stack Global Healthcare Network
- 4→1 Vendors consolidated · 40% total cost reduction Fortune 500 Technology Company
“The ADP platform did in 798ms what our team took three hours to investigate. And it prevented the breach entirely.”
— CISO, Global Financial Institution
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90%
Reduction in Manual Policy Management
Autonomous agents replace hundreds of static DLP rules with dynamic, context-aware enforcement that adapts in real time.
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<1s
Real-Time Exfiltration Prevention
Threats blocked in under one second — before a single record leaves your enterprise boundary.
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5x
Faster Regulatory Compliance
Auto-generated audit trails, incident records, and DPA notifications for GDPR, HIPAA, PCI-DSS, DPDP etc.
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100%
Autonomous Continuous Coverage
No shift changes. No manual reviews. No gaps. Protection operates 24/7/365 across every data vector simultaneously.
Operational Proof
What CISOs Say After Deploying It
- 73% Data Exposure Surface Reduced Fortune 100 Financial Services
- 90% Policy Maintenance Cut Global Healthcare Network
- 4→1 Vendors Consolidated Fortune 500 Technology Company
- <1s Mean Time to Containment Global 2000 Energy Sector
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“For the first time, I can tell my board we are protected at machine speed — not human speed. This changes the conversation entirely.”
— CISO · Fortune 50 Conglomerate
↑ 73% reduction in exposure surface -
“We replaced 4 legacy data protection vendors with one platform. The analyst fatigue reduction alone justified the investment in week one.”
— VP Security Architecture · Fortune 500 Tech
↑ 90% policy maintenance eliminated -
“The World Model architecture is the first thing I’ve seen in 15 years that actually changes the data security game at a structural level.”
— Head of Enterprise Security · Global 2000 Financial Services
↑ Deployed across 180 countries
The Platform
Stop maintaining data protection logic manually. We built a system that does it for you.
The autonomous threat era is not coming — it is here. AI agents, autonomous malware, malicious insiders, and machine-speed exfiltration attacks are operating right now in your environment. The question is whether your protection is operating at the same speed.
- Deploy in days — no infrastructure changes required
- Zero policies to write on day one
- Board-ready compliance reporting from deployment
World Premiere · RSA Conference 2026 · Booth #6282, North Hall · March 23–March 27
No commitment required · 30-minute executive briefing · Zero-touch deployment PoC available
DEPLOY IN WEEKS. NO INFRASTRUCTURE CHANGES REQUIRED.Autonomous coverage from day one · Zero-touch PoC available · Board-ready reporting built in
Ready to See Autonomous Data Protection?
30-minute briefing with our security architects. No slides — live platform demonstration.