Get Real-TimeCybersecurity for
Financial Services
Telecoms
IoT Manufacturers
Healthcare
Cloud Platforms
IoT Providers
Transportation
Energy Sector
Medium Businesses
Trap threat vectors and update your threat intelligence instantly
Find out moreOur team projects
Press & News
Nothreat Partners with Pafos FC to Strengthen Cybersecurity in Sports
Nothreat and Pafos FC, a Cypriot football club, announce a strategic collaboration to enhance cybersecurity within the sports sector.
IoT Cybersecurity
Banish vulnerabilities around your IoT devices . Our approach, backed by scientists in a paper published on Springer, uses advanced AI to trap threat vectors. This threat intelligence updates our database instantly, protecting you in real time, even from zero-day attacks.
100%
Every connected and managed device is vulnerable to attack
+87%
Official figures show malware attack numbers rising 87% each year
53%
Nothreat detects 53% more attacks than other sources combined
Make your service more robust with heightened cyber-safe features that guard against attacks.
Web Cybersecurity
Cyber attacks are rising. In the UK alone, 69% of large businesses, and 59% of small, were hit in 2023. Nothreat creates bespoke measures to step up your web cybersecurity in real time, updating common web application firewalls via connectors.
Find out moreSmall, Medium and Large Enterprises
Secure your core web services, devices, and mobile applications to prevent attacks before they happen. This will save you on costly fixes and potential reputational issues and inspire trust.
Banking, Fintech, Insurance
Financial service operations benefit from our bespoke cyber protection for web services and apps. Eliminate the risk of man-in-the-middle attacks that could impact customers, cause regulatory issues and cripple your reputation.
Telecoms
Mobile network operators prevent data leaks by blocking suspicious sources, bad actors, and malware. There’s an opportunity to sell our service to your customers who, by the nature of the product, can be exposed every time they use a mobile device.
AI-Powered Cybersecurity Products Guard Your Business and Reputation
CyberEcho
Our US & EU patent-pending technology automatically clones devices, web services, APIs, and websites – trapping inbound threat vectors and revealing new methods. CyberEcho is tailored for your business, and its learnings apply instantly to our suite of resources . There are no false flags since the genuine public cannot access the clones.
Firewall Integration & Intelligent DNS
It works with your existing firewall, with evolving feeds of malicious attack sources, strange URL patterns, unusual client geography patterns, etc. Intelligent DNS protects your outbound connections.
AIoT Defend
Install this lightweight application on your devices, creating an additional defense layer according to the best ZTNA practices.
Cybersecurity Event System (CES)
AI and learnings from CyberEcho and other sources drive our extensive and constantly evolving knowledge base. The system is extremely powerful, recognizing, correlating, and preventing attacks on client systems.
Security Operational Center (SOC)
The SOC, backed by the CES knowledge base, scans and monitors the targeted threat landscape around the clock, acting with zero delays. We provide this as a service or help you build it on-premise.
Our patent-pending AI-driven system exposes cyber attack attempts and uses this data to power cybersecurity products in real time. Our mission is to accelerate the push towards universal online protection for everyone.
We’ve established security centers globally that work together in a decentralized way. This offers transparent and accountable operations, helping us deliver advanced tech to protect users from harm online.
The Magic Behind Our AI Tech
Humans learn new skills and improve on existing ones. However, most machine learning lacks this ability, suffering from catastrophic forgetting when learning new data wipes out old knowledge.
Because threat vectors evolve constantly, our machine learning must do the same without forgetting its previous knowledge. We’ve achieved this via functional regularization and adaptive neural network architecture.
Our algorithm addresses three core challenges:
Bias-variance dilemma
Securing the correct balance of neurons to avoid bias or overfitting.
Plasticity stability
Learning new information while preserving existing knowledge.
Noise nonstationarity
Adapting to new, potentially noisy data by creating or removing neurons based on future HTTP request examples.