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Akademijos g. 4
Vilnius, Lietuva, LT-08412

+370 64012261

info@cybora.tech

CYBORA: Next-Gen ICT Crisis Management & Resilience Simulation

CYBORA: Next-Gen ICT Crisis Management & Resilience Simulation

“We simulate your workday. We find the gaps. You fix them. You stay compliant.”

CYBORA introduces a revolutionary Online Simulation & Resilience Platform designed for ICT Crisis Management, Business Continuity Planning (BCP), and Disaster Recovery (DR). This is not just a theoretical exercise; it is a high-fidelity, AI-driven stress test for your organization’s digital heart, now fully aligned with the EU Cyber Resilience Act (CRA).

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The Ultimate Resilience Ecosystem

Our platform bridges the gap between static policy documents and real-world crisis response. By analyzing your actual documents, policies, and technical configurations, CYBORA creates a “Digital Twin” of your crisis readiness to find operational and legal vulnerabilities before they are exploited.

Platform at a Glance

  • 80+ Dynamic Scenarios: From Core Router failures to sophisticated AML AI model degradations.

  • 190+ Interactive Playbooks: Step-by-step guided responses for technical and management teams.

  • Real-Time Metrics: Every action is measured against your actual RTO (Recovery Time Objective), RPO (Recovery Point Objective), and MTTM (Mean Time To Mitigate).

  • AI-Powered Analysis: Our AI analyzes decision-making, policy compliance, and technical efficiency in real-time.

  • Legal Alignment: Validates operational compliance with mandatory EU CRA reporting and security mandates.

Comprehensive Simulation Scenarios

CYBORA covers the entire spectrum of modern digital threats, categorized into specialized playbooks:

🛡️ Infrastructure & Network Resilience

  • Core Router Failure: Fault isolation and emergency hardware failover.

  • Virtual Host Crash: Rapid VM recovery and hypervisor troubleshooting.

  • Data Center Power Outage: UPS/Generator verification and backup site activation.

  • DNS & Cloud Outages: Internal resolution failures and AWS/Azure Region-wide disasters.

🔒 Cybersecurity & Threat Response

  • Malware & Endpoint Containment: Real-time isolation and EDR orchestration.

  • Phishing & Credential Harvesting: Immediate response to email fraud and identity theft.

  • Zero-Day Vulnerabilities: Emergency patch deployment and mandatory rollback procedures.

  • Insider Threats: Monitoring unauthorized admin privilege misuse and log integrity.

💰 Fintech & AML Specialized Compliance

  • AML Rules Engine Compromise: Rollback of unauthorized changes to detection thresholds.

  • Log Corruption & Retention: Recovering audit trails for mandatory regulatory compliance.

  • AML AI/ML Model Degraded: Addressing model drift and identifying adversarial laundering tactics.

EU Cyber Resilience Act (CRA) Compliance

CYBORA is specifically engineered to validate your operational compliance with the CRA’s core mandates. We ensure your organization is legally and technically prepared for the new EU regulations.

  • Vulnerability Lifecycle Management: Test your ability to identify and remediate vulnerabilities throughout the product lifecycle.

  • Mandatory Incident Reporting: Simulate the CRA-mandated 24-hour early warning and 72-hour incident notification windows.

  • Supply Chain & Third-Party Risk: Playbooks focusing on third-party software failures and vendor-driven breaches.

  • Continuous Compliance Auditing: AI-generated documentation ready for digital product certification and regulatory audits.

🛡️ High-Impact Playbooks (CRA & Operational Resilience)

ScenarioCRA Focus AreaMTTM TargetActionable Intelligence
Zero-Day ExploitVulnerability Handling< 1 HourRapid patch validation and phased deployment.
Unauthorized AML ChangeIntegrity of Config< 15 MinImmediate rollback and forensic audit generation.
Cloud Region FailoverProduct Availability< 30 MinSecondary region activation via Infrastructure as Code (IaC).
Credential PhishingAccess Control< 20 MinPrivilege revocation and mandatory security resets.
AML AI Model DriftSecurity Functionality< 45 MinDetection of adversarial inputs designed to bypass AML.

The CYBORA Methodology: From Theory to Law

With the Cyber Resilience Act, security is no longer “best practice”—it is a legal requirement. Our loop ensures you stay ahead of both hackers and regulators:

  1. Imitate: We build a digital twin of your ICT infrastructure and ingest your BCP/DR policies.

  2. Challenge: We launch complex attacks, including crisis calls, fraudulent emails, and technical outages.

  3. Analyze: AI detects where RTO/RPO targets were missed and if your response meets Legal Documentation Standards.

  4. Remediate: You receive a prioritized list of technical fixes and policy updates to achieve “Compliance by Design.”

Don’t wait for a real crisis or a regulatory fine to find out your BCP fails. With CYBORA, you succeed in a safe environment today, so you can lead the market tomorrow.

how it worksEverything you need to know about

Artificial Intelligence (AI) is a field of computer science dedicated to creating systems capable of performing tasks that typically require human intelligence. This includes things like reasoning, learning from past experiences, understanding language, and recognizing patterns.

Think of it this way: while traditional software follows a strict “if this, then that” script, AI is designed to process data and make decisions or predictions more dynamically.

The best way to visualize this is through a “nesting” concept. Machine Learning (ML) is a subset of AI.

  • AI is the broad vision of machines acting intelligently.

  • Machine Learning is the specific method used to achieve that vision by training algorithms on large datasets.

Instead of being manually programmed with specific rules, an ML model “learns” by identifying patterns in data. For example, if you show an ML model thousands of photos of cats, it eventually learns to identify a cat on its own without you telling it to look for “pointed ears” or “whiskers.”
AI relation to Generative Models subset diagram

This is the “million-dollar question,” and the reality is nuanced. AI is transforming the job market rather than simply erasing it.

  • Automation: AI is excellent at handling repetitive, data-heavy, or predictable tasks (like data entry or basic customer service).

  • Augmentation: In most fields, AI acts as a “co-pilot.” It helps doctors diagnose diseases faster or assists coders in writing basic script blocks, allowing humans to focus on high-level strategy and creativity.

  • New Roles: Just as the internet created jobs like “Social Media Manager,” AI is creating new roles like AI Ethicists, Prompt Engineers, and Data Labelers.

While some displacement is occurring, the historical trend with new technology is that it shifts the type of work humans do rather than eliminating work entirely.

AI is generally categorized in two ways: by capability and by functionality.

Categorization by Capability

  1. Narrow AI (Weak AI): Designed for a specific task (e.g., Siri, facial recognition, or Netflix recommendations). This is the only type of AI that currently exists.
  2. General AI (Strong AI): A theoretical AI that can perform any intellectual task a human can. We aren’t there yet.
  3. Super AI: A hypothetical level of AI that surpasses human intelligence across all fields.

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