Cygon delivers Proximity Exposure and Risk Management, closing a critical blind spot in modern security: proximity risk.
We continuously monitor the facility environment using existing infrastructure to detect, identify, locate, and help you respond to wireless attacks and malicious, concealed, or unmanaged devices, even when they are not connected to the network. Instant deployment at scale.
No hardware required.
Company's Solutions
Cygon provides an AI powered platform for Proximity Exposure and Risk Management.
It addresses proximity threats that operate inside or near a facility, where traditional security solutions lose visibility and control.
Cheap, accessible tools and AI driven techniques have collapsed the attack barrier, making anyone a proximity based attacker.
The platform makes proximity risk visible and manageable by continuously monitoring the environment through existing infrastructure.
It enables threat detection, analysis, and response for wireless attacks and malicious, concealed, or unmanaged devices, even when they are not connected to the network.
Cygon also surfaces security posture vulnerabilities and misconfigurations.
Deployment is software only, non intrusive, and scalable, with no hardware required.
Key capabilities include:
- Proximity Attack Surface Management (PASM)
- Proximity Continuous Exposure Risk Management (PCTEM)
- Exposure and risk management
- Threat detection and analysis
- Asset and policy control
- Real time location and tracking
- Continuous visibility across sites
- Reduced business continuity exposure
Prominent Case Study
Everyday physical presence creates endless attack opportunities around people, devices, networks, and critical systems.
When attackers operate inside or near a facility, traditional security controls provide little to no visibility into proximity based threats.
As a result, organizations remain exposed to cyber attacks, privacy breaches, and operational disruption.
This attack surface remains unmanaged because it operates outside standard security tooling, while alternative approaches rely on expensive, intrusive hardware or manual labor that is not continuous or scalable.
This exposure creates significant cyber, privacy, legal, and reputational risk, where a single incident can lead to major financial impact and long term loss of trust.
The case study demonstrates common proximity attack scenarios, including:
- An employee connecting to an evil twin network (MITM) and submitting credentials through a fake portal
- Shadow IoT devices broadcasting SSIDs and creating hidden exposure points
- An unauthorized IoT device deployed inside a facility and remotely controlled by an attacker
- Wireless deauthentication attacks disrupting corporate WiFi availability
- A hidden camera recording individuals in sensitive private areas
These scenarios are relevant across multiple industries, including hospitality, transportation, enterprise and financial headquarters, healthcare and public sector organizations, and government environments.

