Problem Statement
The industrial and manufacturing sector is one of the most targeted industries for cybercrime, alongside finance and government.
The average cost of a data breach in the energy sector is US$4.83 million, with additional losses arising from operational downtime, recovery efforts, and business disruption.
Public Cases
-1-
Ecopetrol
(Colombia, 2026)
(Colombia, 2026)
Cyberattack compromised over 3,300 accounts through data theft and extortion.
-2-
Zephyr Energy
(UK, 2026)
(UK, 2026)
Lost approximately £700,000 following a Business Email Compromise (BEC) attack.
-3-
PDVSA
(Venezuela, 2025)
(Venezuela, 2025)
Ransomware attack disrupted administrative systems and export terminal operations.
Oil cargo deliveries were temporarily halted, staff reverted to manual processes, and IT recovery continued for weeks.
Oil cargo deliveries were temporarily halted, staff reverted to manual processes, and IT recovery continued for weeks.
RISK OVERVIEW
Disruption of production and technological processes
Theft of intellectual property and sensitive business data
Critical infrastructure downtime and operational disruption
Financial losses through extortion and fraud
Physical consequences resulting from compromised industrial systems
Leakage of confidential and proprietary information
Our Solution
Technology Overview
A centralized platform creates "traps" as digital twins of real devices and services. These decoys attract cyberattacks, allowing organizations to analyze malicious activity while protecting their actual infrastructure.
Core Functions
A centralized platform creates "traps" as digital twins of real devices and services. These decoys attract cyberattacks, allowing organizations to analyze malicious activity while protecting their actual infrastructure.
Core Functions
- Verification and analysis of collected artifacts
- Interaction with attackers and collection of threat intelligence
- Monitoring of cyberattacks targeting digital twins
- Prevention of cyberattack propagation within IT infrastructure
- Generation of information security alerts
Deployment
Solutions for Industrial Sector
FV DECEPTION system for monitoring and blocking cyberattacks on any type of device in the IT infrastructure.
How it works
Purpose
- Detect connections to traps that simulate real enterprise services
- Promptly notify security officers about the fact of an attack in real time
- Interaction with the attacker in order to gather as much information about him as possible
Purpose
- Traps can imitate any IT infrastructure objects: WEB server, FTP server, E-mail server, Workplace, Firewall, OS, Router, Switch, IoT / IIoT equipment, etc.
- The elements (sensors) are deployed on each company network (VLAN) and connected to the management module
- Each element (sensor) deploys a set of traps corresponding to real devices, computers and services on the network
- An additional important feature of the system is the built-in vulnerability scanner. Each element (sensor) in the system can scan its network for vulnerabilities.
Sensors
Sensors are located in subnets (VLANs), they scan and deploy traps. The following information can be obtained for each sensor in the system:
Bait at users' workplaces
Traps that are installed in the subnet
Devices that were fixed at the time of the last scan
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