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.

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
Enterprise Data — radial diagram showing 6 data sources orbiting a central hub
THE SECURITY ARCHITECTURE PROBLEM

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.

  • 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

  • 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

  • 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.

Enterprise Data attack surface radial diagram
  • $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

  • Human Operators

    Employees, Consultants, Contractors

  • AI Agents

    Autonomous GenAI & LLM Agents

  • Enterprise Apps

    3rd Party & Enterprise Systems

  • 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

  • LLM Chatbots

    MS Copilot · Gemini · ChatGPT · Claude

  • LLM APIs

    Mistral · Anthropic & all major providers

  • MCP Servers

    Slack · GitHub · Google Drive

Solution 2 — Email

  • Cloud Email

    M365 · Google Workspace

  • On-Prem Email

    Exchange · Domino

  • Other Email Services

    Icewarp · Skyconnect · Zoho · Zymra

Solution 3 — Cloud / SaaS

  • Cloud Storage

    AWS S3 · Google Drive · OneDrive · Dropbox · Box

  • SaaS Applications

    Salesforce · ServiceNow

  • 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.

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.

Structural Encapsulation

Domain Model

Entity Taxonomy

All cyber domain objects defined, typed, and versioned

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

See the World Model in Action →

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

  • Firewalls
  • Network Perimeter
  • Static Defense

Gen 2 · 2000s

Endpoint Security

  • Antivirus
  • Endpoint Detection
  • Device Protection

Gen 3 · 2010s

Data Security

  • DLP
  • Data Discovery
  • Data Classification

Gen 4 · 2020s

Cloud Security

  • CASB
  • Zero Trust
  • SaaS Security

Gen 5 · 2026

Autonomous Security

The next category is emerging:
Autonomous Data Protection

  • Agentic AI
  • Intelligent Orchestration
  • Continuous Enforcement
ADP
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.

  • 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

  • Email Platforms

    Intelligent and fully automated email data protection with multi-mode deployments for all Email services.

    • Microsoft 365
    • Gmail
    • Exchange

  • Cloud Platforms

    Continuous identification, classification and exfiltration prevention of sensitive data to any cloud apps.

    • AWS S3
    • Azure Blob
    • GCP Storage

  • SaaS Applications

    Real-time monitoring and enforcement across all SaaS data flows — from upload, share to export.

    • Salesforce
    • Workday
    • ServiceNow

  • Network Traffic

    Automatically monitor, detect and prevent against data leaks & exfiltrations across any network protocol.

    • FTP
    • HTTP/HTTPS
    • XMPP

  • 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.

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.

Challenge

Generative AI’s increasing access within enterprises creates significant risk of sensitive data leaks through authorized users inadvertently or intentionally sharing proprietary information with external AI systems

Solution

Automated data protection system monitors and analyzes user interactions with Deep-AI tools, using real-time recognition and domain aware policies to detect, prevent, and alert enterprises to potential data leakages before sensitive information leaves secure environments

Benefit

Enterprises can confidently embrace GEN-AI technologies while maintaining regulatory compliance, protecting intellectual property, preventing reputational damage, and reducing security team burden through automated detection and prevention that works transparently without disrupting legitimate user workflows

Challenge

Malicious insiders exploit their legitimate access to exfiltrate sensitive data via email channels, bypassing traditional security controls and causing significant financial, reputational, and compliance damage

Solution

Automated and advanced e-mail data protection systems employ Deep-AI, behavioral analytics, and information classification to detect suspicious patterns, unauthorized transfers, and policy violations in real-time before sensitive data leaves the enterprise

Benefit

Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded

Challenge

Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded

Solution

Enterprises gain continuous protection against insider threats with minimal false positives, maintain regulatory compliance, protect intellectual property, prevent data breaches, and reduce security team workload through accurate automated detection that stops data loss while allowing legitimate business email communications to continue unimpeded

Benefit

Enterprises achieve dramatically improved resilience against evolving cyber threats, significantly reduced attack surface, minimized data breach impact, faster incident response times, continuous regulatory compliance, and preserved business continuity without overwhelming security teams or disrupting legitimate business operations

Challenge

Enterprises struggle to identify and protect massive volumes of diverse sensitive data moving across networks, applications, and user devices, leaving critical information vulnerable to breaches and compliance violations. Simple manual Keyword and Lexical Matches are error prone resulting in high False Positives and are highly susceptible to Malicious Data Leak scenarios

Solution

Automated classification systems leverage DEEP-AI, and domain-aware pattern recognition to accurately identify, categorize, and tag sensitive structured and unstructured data-in-motion, in any format, in real-time without human intervention, enabling immediate policy enforcement before information reaches unauthorized destinations

Benefit

Enterprises achieve comprehensive visibility into data flows, maintain continuous regulatory compliance, reduce security team burden, prevent costly data breaches, enable granular access controls, and support informed business decisions through precise risk awareness without impacting legitimate data transfers or user productivity

Challenge

Enterprises face significant risks when employees accidentally or maliciously transfer large sensitive files through unauthorized channels, bypassing security controls and potentially causing data breaches, compliance violations, and intellectual property loss

Solution

Automated file transfer protection systems continuously monitor network traffic, file repositories, and communication channels to detect unusual file movements, classify sensitive data in real-time, and enforce granular policies that block unauthorized transfers while allowing legitimate business operations

Benefit

Enterprises gain comprehensive protection against data loss without burdening security teams, maintain regulatory compliance, preserve intellectual property, prevent costly breaches, reduce incident response time, and maintain business productivity by stopping only truly risky transfers while allowing approved workflows to continue unimpeded

Challenge

Modern enterprises struggle with fragmented security systems that generate overwhelming alerts without domain context, leading to detection gaps, delayed remediation of data security incidents, and increased risk of breaches despite significant security investments

Solution

Automated cyberSOC-powered platforms integrate Deep-AI-driven analytics, comprehensive visibility across environments, and orchestrated response capabilities to detect sensitive data violations in real-time, prioritize actual threats, and automatically implement remediation actions based on security policies

Benefit

Enterprises achieve dramatically faster threat detection and response times, reduced security team burnout, continuous compliance with evolving regulations, minimized data breach impacts, improved security ROI, and comprehensive protection across hybrid environments while maintaining business operations through intelligent, context-aware automated remediation workflows

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

  • 90%

    Reduction in Manual Policy Management

    Autonomous agents replace hundreds of static DLP rules with dynamic, context-aware enforcement that adapts in real time.

  • <1s

    Real-Time Exfiltration Prevention

    Threats blocked in under one second — before a single record leaves your enterprise boundary.

  • 5x

    Faster Regulatory Compliance

    Auto-generated audit trails, incident records, and DPA notifications for GDPR, HIPAA, PCI-DSS, DPDP etc.

  • 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

  • “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.