AI DEFENSE

CYTUR-SAVD™

Ship AI Vision Defender
AI Threat Response Solution for Ship AI Vision Systems

CYTUR-SAVD™ protects AI-based CCTV systems — the backbone of autonomous and smart vessels — against 'Adversarial Attacks' that introduce imperceptible manipulations to cause AI model malfunctions, by detecting and restoring threats in real time to ensure safe vessel operations.

Key Strengths

Core Capabilities

Real-Time Restoration &
Operational Continuity
Performs real-time restoration to prevent system shutdowns or safe-mode transitions during threat events, ensuring uninterrupted navigation. An optimized engine maintains AI decision speed without degradation.
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Regulatory Compliance &
Risk Mitigation
Fully addresses the EU AI Act, which mandates security validation for high-risk AI systems, and proves data integrity in the event of incidents to reduce legal and financial risks for enterprises.
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Proven &
Unmatched Technology
Obtained Approval in Principle (AiP) from the Italian classification society RINA, and completed adversarial attack detection and purification performance testing at RIMS — a first in Korea — validating technical feasibility.
Architecture

Solution Architecture

⚠️ Physical Attack
Adversarial Patch
Physical patterns or stickers that confuse
AI vision surveillance systems
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Ship CCTV
🖥️
NVR &
Distribution Server
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CYTUR-SAVD™
Adversarial Attack
Detection & Restoration
Purified
Video Output
⚠️ Evasion Attack
Adversarial Filter / Overlay
Injecting subtle noise into video feeds to cause
recognition errors in AI surveillance systems
Key Benefits

Expected Benefits of CYTUR-SAVD™

01
Safe Navigation
AI Threat Response &
Operational Continuity
Detects adversarial attacks targeting AI vision surveillance systems on autonomous and smart vessels in real time and restores them immediately. Real-time restoration prevents AI-based systems from switching to safe mode or shutting down under attack, fundamentally eliminating operational delays caused by security breaches.
02
Risk Mitigation
Insurance & Legal Risk Reduction
Through AI Asset Security Assurance
By proving AI model defense capabilities and ensuring data integrity, CYTUR-SAVD™ reduces legal and financial risks in the event of incidents. Its deployment serves as objective evidence of robust security measures for AI models, functioning as supporting documentation for security obligation compliance during incident investigations.
03
Regulatory Compliance
Full Compliance with
Global AI Security Regulations (EU AI Act)
The EU AI Act classifies ship AI systems as high-risk and mandates proof of defense capabilities against cyber threats such as adversarial attacks. CYTUR-SAVD™ is designed to meet the Act's core requirements for system robustness and cybersecurity, making it a key solution for global regulatory compliance alongside classification society certification (AiP).
Comparison

Competitive Advantages

CategoryCYTUR-SAVD™Conventional Ship AI Vision Systems
Core FunctionObject detection/classification + adversarial attack detection & purificationObject detection / classification
Threat ResponseAttacks inducing AI model malfunction (adversarial attacks)None
Data ProcessingDetects and purifies adversarial attacks on input video before deliveryPasses input video directly
Real-Time ImpactOptimized detection engine maintains AI decision speedHigh video processing speed
AI Model SafetyRobustness against adversarial attacks securedVulnerable to adversarial attacks
Vessel OperationsPrevents AI malfunction through attack detection & purification, maintaining operational stabilityFalse alarms / missed detections may cause collisions or unsafe approaches
Regulations & TrendsProactive response to global maritime/cybersecurity trends in AI reliability and safetyBasic level of current AI application
CYTUR-SAVD™
Core Function — Object detection/classification + adversarial attack detection & purification
Threat Response — Counters attacks inducing AI model malfunction
Data Processing — Detects & purifies adversarial attacks before delivery
Performance — Optimized engine maintains AI decision speed
AI Safety — Robustness against adversarial attacks secured
Operations — Prevents malfunction, maintains operational stability
Regulations — Proactive response to global AI security trends
Conventional Ship AI Vision Systems
Core Function — Object detection / classification
Threat Response — None
Data Processing — Passes input video directly
Performance — High video processing speed
AI Safety — Vulnerable to adversarial attacks
Operations — False alarms / missed detections risk collisions
Regulations — Basic level of current AI application
Use Cases

Use Case Scenarios

🏴‍☠️
Neutralizing Pirate Intrusion via Physical Patch Attacks
Scenario
A pirate vessel approaches with adversarial patches attached to its hull, causing AI CCTV to misidentify it as 'waves' or 'floating debris,' allowing undetected boarding.
Proactive Response
Detects adversarial patterns at the video input stage, reconstructs hidden object features to correctly identify the vessel, and sends real-time alerts.
Expected Outcome
Prevents security system neutralization against sophisticated concealment attacks and ensures early warning of pirate approaches, protecting crew and cargo.
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Preventing Maritime Collisions via Image Distortion Filter Injection
Scenario
A hacker infiltrates the video data transmission path and injects subtle distortion filters, causing the AI object recognition module to misjudge the position and distance of other vessels or port structures.
Proactive Response
Verifies pixel integrity in real time, back-traces and purifies injected filter values, and restores manipulated images to original quality for clean video re-delivery.
Expected Outcome
Prevents collision incidents caused by AI malfunction during precision operations such as port entry and narrow channel passages, maintaining navigational stability.
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Preventing Route Deviation & Grounding via Adversarial Overlay Noise
Scenario
Imperceptible noise overlaid on entire video data induces AI misclassification, causing autonomous navigation systems to follow wrong routes and risk grounding.
Proactive Response
Precisely analyzes and isolates noise values through the tampering pattern identification engine, supporting accurate maritime marker recognition based on robust, noise-free video.
Expected Outcome
Helps autonomous navigation systems maintain planned routes in any interference environment, fundamentally eliminating route deviation and grounding threats from false information.
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Evasion Attack Detection & Unmanned System Protection
Scenario
Sophisticated attackers manipulate specific pixels to evade AI detection, neutralizing the autonomous surveillance function of unmanned vessels and making systems fail to detect threats.
Proactive Response
Verifies video integrity in real time through an optimized detection engine without degrading AI decision speed, instantly detecting evasion attempts and delivering purified video.
Expected Outcome
Completes a 24/7 maritime security surveillance framework with zero blind spots, securing the security reliability of unmanned systems and maximizing operational stability.
Certifications

Certifications & Validations

RINA
AiP (Approval in Principle)
A first in the ship AI domain
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RIMS Performance Testing Completed
First adversarial attack detection & purification test in Korea

Secure the Security Reliability
of Your AI Vision Systems

To learn more about CYTUR-SAVD™, request a consultation today.