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Office No: 101-50, Al Garhoud Center, Dubai, United Arab Emirates
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AI in Cybersecurity: Enhancing Threat Detection and Response
1. AI driven Live Threat Detection
The most challenging part about threat detection is the need to analyse vast amounts of data to identify indicators for potential threats. This is where Trivanet recommends AI systems which will recognize patterns and behaviours to detect potential attacks. This early detection will help to reduce the attack possibility
2. Accuracy boost and false alerts
A point which Trivanet’s customers often complain about the traditional monitoring systems is the increasing amount of false positives which creates a clutter and reduce the accuracy of the monitoring systems. Ever since the arrival of AI enabled monitoring system some of Trivanet’s customers have implemented it see fabulous improvement in reducing the false positives. AI systems rely on machine learning and identify patterns to distinguish between benign and malicious activities. It is extremely important to clearly distinguish between the legitimate system activities and malicious activities. Traditional systems does not have a way to learn from the feedback of the security teams, however the AI systems which Trivanet recommends is trained to learn from the feedbacks where the alerts are ticked as false. This will make the system better and better which will help organizations to incrementally increase the system accuracy from every identified false positive
3. Automated Incident Response
The speed at which the attack happens and the damage which it creates often requires extremely quick incident response. That is a major reason why Trivanet recommends AI facilitated incident management by proper classification of threats based on its intensity. The system will also execute predefined remediation tasks which will eliminate any possibilities of human error and ensure consistent and effective resolutions
4. Predictive Analysis for Proactive cyber Defence
In our experience at Trivanet, what enables predictive analysis using AI systems is its ability to analyse past data and identify patterns. This is what enables organizations to predict potential threats before it happens. It is inevitable to identify vulnerabilities and predict attack trends in order to build and strengthen cyber defence and reduce the cyber-attack likelihood.
5. AI integration with current security systems
Trivanet suggests and recommends AI enabled cyber monitoring systems that are compatible for integrations with the existing cyber security infrastructure of the organizations. This is required to ensure smooth security operations and reduced cost. It also helps to realise the benefits of AI while maintaining the already existing security standards and frameworks.
Conclusion
In conclusion, adopting AI strategies is essential to build an excellent cyber defence against the ever increasing malicious environment. Solutions enabled by AI can achieve faster threat detection, timely and accurate incident responses and a assured approach to security. AI is not a luxury option it is already a necessity in the cyber space. Talk to Trivanet. We will be happy to help.