AI monitoring, detection and prevention
Increases in cyber-attacks and frequent use of new hacking methods require a truly futuristic approach to threat mitigation. Artificial Intelligence has revolutionised the world of online security by analysing behaviour patterns of potential attacks in real-time. If a similar pattern is detected again, the AI will recognise it ahead of time and provide rapid protection. This ability to learn from distinct behaviour is invaluable in an environment where threats are constantly evolving and employing newly discovered tactics.
Analyse incoming and outgoing traffic to recognise specific behaviours associated with malicious activity
Learn from attempted cyber-attacks and identify them efficiently in the future
Don’t wait for an attack to happen. Ensure you identify threats early to mitigate damage or data loss
- Evolving Protection
Sophisticated AI learns from potential hacks, meaning that with each attempted attack, your security grows stronger
- Full Defence
AI protects your data assets from some of the most common methods employed by hackers
- Low Maintenance
With the AI monitoring and detecting suspicious activity autonomously, threats are stopped with no internal input required
AI Monitoring, Detection and Prevention
The increase of cyber-attacks and regular use of new hacking methods require a truly futuristic approach to threat mitigation. Artificial Intelligence has revolutionised the world of online security by analysing behaviour patterns of potential attacks in real-time. If a similar pattern is detected again, the AI will recognise it ahead of time and provide rapid protection.
Monitoring - Most cyber-attacks begin with a malicious request being sent to a server, disguised as normal traffic. If this request makes it through security without intervention, it can deceive the server into releasing or deleting information that should otherwise remain private. This could be anything from information on the business, sales figures or even customer bank details. However, by protecting your application with a high-quality WAF like Cloudfence, all HTTP traffic is analysed to distinguish between legitimate user traffic and suspicious requests with potentially malicious intent. This early warning system can ensure that all threats are dealt with before any damage is incurred.
Detection - Once a potential attack has been recognised and the distinct pattern has been learnt by the AI, a unique digital fingerprint is created and stored. This can then be used to identify similar threats in real-time, providing a truly adaptive form of security. This ability to learn from distinct behaviour is invaluable in an environment where threats are constantly evolving and employing newly discovered tactics.
Prevention - With the data collected from any previous attacks, the AI then uses sophisticated algorithms to recognise and predict any future attacks exhibiting previously noted characteristics. All online businesses in the public eye are targeted maliciously at some point, and by employing a WAF like Cloudfence, these attempted hacks can work in your favour. Learning from these attacks and remembering malicious behaviour patterns can make identifying future attacks much easier.
Cloud Web Application FireWall
DDoS Protection (HostGuard)
AI Monitoring, Detection & Prevention
Global Distribution. (CDN)
Safe DNS Management
Security Audits & PCI Compliance
Views & Insights
Magento 1 End Of Life:
How To Stay Secure & Compliant
The ultimate guide to securing your Magento Store beyond June 2020. Discover the risks and put in place a first-line defence to protect your customer data.
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