Enhancing Cybersecurity with AI and ML at P J Networks
Introduction into AI & Cybersecurity
Surely, the firewall monitoring at P J Networks sounds great to keep things secure but with AI and ML it will even be better.
As modern cybersecurity is constantly changing, P J Networks announces AI and ML for firewall monitoring. This can also help you understand why companies look to rent both firewalls, servers and routers from us since it is easy for people not working in IT orientated industry or startup world, where high technology plays a crucial role. In this blog, I will explain how P J Networks uses AI to predict cyber threats more accurately and how it also prevents hackers from abusing your server.
Table of Contents
- Introduction into AI & Cybersecurity
- How Machine Learning Propagates in Firewall Monitoring
- Benefits of AI and Machine Learning in Firewall Monitoring
- Case Studies
- Conclusion
Introduction into AI & Cybersecurity
At a basic level, artificial intelligence is the simulation of human imagination in machines that are designed to think like humans and recreate their functions. In cybersecurity, AI can respond much faster than traditional Jr SOC Analysts; consequently, the response times of detecting and analyzing threats are significantly reduced which offer cyber defense.
AI: a general field in which machines are enabled to perform tasks that require human intelligence. Machine learning, under the umbrella of AI, includes training algorithms for improving decision-making based on data. Machine learning techniques specifically of value in firewall monitoring include algorithms that gather knowledge from the historical patterns and network traffic details to detect and forewarn against probable hacks.
How Machine Learning Propagates in Firewall Monitoring
One of the key elements is machine learning, which improves firewall monitoring. Predefined rules of a traditional firewall. This tactic does work to a certain extent; however, it is not as rapidly evolving to meet new threats. On the other hand, machine learning offers a much more reactive layer of protection.
One thing that is of primary concern among software security engineers is whether hackers would be able to bypass these new machine learning techniques, well… not anytime soon.
- Anomaly Detection — Machine learning models are trained to identify the normal network behavior. The system can also be programmed to alert when deviations occur.
- Pattern Recognition: Models in this class can determine repetitive patterns within massive data sets that human analysts would never be able to analyze manually without contextual experience.
- Predictive Analysis: Machine learning can predict the future behaviour of malware using outgoing data analysis and then flag any suspicious actions that it may take before proceeding to do damage.
In our constant dedication to provide the most advanced technology, we even have implemented (or are in line of implementing) several other AI-based monitoring tools & practices that could completely change the ceiling for email marketing.
Benefits of AI and Machine Learning in Firewall Monitoring
Enhanced Threat Detection
AI algorithms can analyze huge amount of data and it remarkably reduces the time for analysis than human analyst. This pace permits almost on the spot threat detection which is crucial to prevent proper protection measures prior them creates a lot damages.
Reduced False Positives
In some cases, traditional security products provide lots of false positives overwhelming security teams and producing alert fatigue. AI has the ability to minimize false positives by being able cope with benign and malicious activity, thus providing clear alerts what are easy to be taken.
Continuous Learning
Machine Learning models get better and better as they see more data, It takes a few runs to Train them though! This constant learning allows the system to evolve and adjust better to different kinds of cyber threats, making cybersecurity posture more agile.
Cost-Effective
The automation in the threat detection with AI is making it a cost effective remedy for businesses allowing them to rely on big teams of security. By renting AI-powered firewalls from P J Networks, businesses can have the next generation technology at their disposal without a large upfront investment.
Scalability
AI systems are used to deal with a growing number of data amounts and network activities, but without needing more resources. That makes them perfect for companies that need to scale up in a serious way as they make their growth more secure.
Case Studies
To demonstrate the effect of AI and machine learning in firewall monitoring, here are a few case studies where P J Networks’ services made all the difference.
Case Study 1: Financial Institution
Case in Point: A Midsized Financial Institution Loses Customer Data through Phishing Attacks. Traditional firewalls were not able to withstand the highly refined techniques that cybercriminals employed.
Solution: P J Networks installed an AI based firewall monitoring. The machine learning models built a view of what normal traffic into and out of the college looked like, which then allowed them to flag any aberrations as potential phishing attempts.
RESULTS: The system drastically cut phishing attacks preserving customer data and trust. Similarly, the decrease in false positives freed up IT team members to work on other important things —affecting overall productivity.
Case Study 2: E-commerce Platform
A series of distributed denial-of-service (DDoS) attacks over days on end repeatedly crashed an e-commerce site during peak shopping periods.
Outcome: The platform rented AI-integrated firewalls from P J Networks which detected any IP that was the part of botnet and attack on previous websites, it monitored consistently for too many hits in short span of time assigning this as a DDoS attacks.
Results: The AI organization detected and suppressed DDoS attacks efficiently meaning that it did not disrupt the service. This level of reliability under heavy load increased customer satisfaction and revenue.
Case Study 3: Health Care Provider
With the availability of more cyber threats popping up every day, it is important for a healthcare provider to safeguard its sensitive patient information.
RESULT: P J Networks installed fully AI enabled firewalls with predictions using machine learning to detect offending access patterns and potential threats.
Result: No data was lost. Patients were protected and the healthcare provider continued to focus on providing care rather than managing breach related issues. It could also predict and thwart future threats.
Conclusion
Of course for cybersecurity, adding AI and machine learning to their firewall monitoring is tremendous. These technologies help improve threat detection, minimize false positives, incorporate machine learning and artificial intelligence-based continuous training and offer cost-effective security models. Many other brand names are coming up with these types of devices in order to be a step ahead from the cyber thieves or hackers who keep updating their methods for such heists and P J Networks is among them, which provides businesses an option to rent out advanced firewall systems integrated with AI technology that will always learn about new methodologies adapted by the third party owners through online delivery.
When you choose P J Networks for your firewall, server and routers rentals in NJ it is not just equipment that you are renting…You get a more intelligent network! Reach out and get in touch with us to know how we can help protect your business for the digital age using AI enabled solutions today…