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Ripo
Inspiration
The aim of this project is to implement a real-time Cyber Attack detection and continuous monitoring system for securing critical systems, networks, and applications. By utilizing cutting-edge technologies such as AI, Machine Learning (ML), and Behavioral Analytics, the system will proactively detect, analyze, and respond to cybersecurity threats by using Mitre Att&ck as they emerge, preventing potential breaches before they escalate into significant security incidents. The solution will focus on continuous surveillance, rapid threat identification, automated responses, and seamless integration with existing security infrastructure.
Develop a robust system capable of monitoring network traffic, user activity, and system behavior in real time
Leverage advanced AI/ML algorithms to identify anomalous behavior and potential threats before they can cause harm.
Use behavioral analytics to establish baselines of normal activity and detect deviations that may indicate security risks.
Integrate the system with existing security infrastructure such as firewalls, access control systems, and endpoint protection to allow for swift mitigation of threats.
What it does
Over Agent Detect the thread By using MITTER Attack Framework and create a flag if any thread detects. We solve the blind spot of modern cybersecurity: detecting micro-intrusions in real time before they escalate into major attacks.
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